{"id":6461,"date":"2020-06-10T05:45:18","date_gmt":"2020-06-10T05:45:18","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=6461"},"modified":"2021-05-28T06:09:11","modified_gmt":"2021-05-28T06:09:11","slug":"google-cloud-certified-professional-data-engineer-tutorial","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/google-cloud-certified-professional-data-engineer-tutorial\/","title":{"rendered":"Google Cloud Certified Professional Data Engineer"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"400\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1.png\" alt=\"\" class=\"wp-image-6463\"\/><\/figure><\/div>\n\n\n\n<p>Data Engineers make it feasible for corporations to mesh in all the fancy advanced analytics and insight generation that data science offers. All this is done by creating trust and industry-wide access to accurate, reliable data at scale with sound data infrastructure and architecture.&nbsp;The Google Cloud Certified Professional Data Engineer helps you broaden your career prospects. Moreover, Google Cloud Certified Professional Data Engineer Salary is estimated to be is $132,900 USD. This certification will definitely help you make big in your professional life.<\/p>\n\n\n\n<p>A Professional Data Engineer facilitates data-driven decision making by collecting, transforming, and publishing data. Data Engineer designs, operationalizes, secures and monitors data processing systems with a particular emphasis on security and compliance. Not to mention, the scalability and efficiency, reliability and fidelity, flexibility and portability. A Data Engineer leverages, deploys, and continuously train pre-existing machine learning models.<\/p>\n\n\n\n<p><strong>The Google Cloud Certified Professional Data Engineer exam assesses your ability to:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Designing data processing systems<\/li><li>Building and operationalizing data processing systems<\/li><li>Operationalizing machine learning models<\/li><li>Ensuring solution quality<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"How to prepare for Google Cloud Certified Professional Data Engineer ?\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/3XC0MLYIhNo?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Learning Objectives&nbsp;<\/strong><\/h5>\n\n\n\n<p>Some of the skills required to become a successful Google Cloud Platform Data Engineer (GCP Data Engineer) are as follows:<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignright size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-3-400x400.png\" alt=\"Professional Data Engineer learning \" class=\"wp-image-6464\" width=\"240\" height=\"240\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-3-400x400.png 400w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-3-300x300.png 300w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-3.png 1080w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/><\/figure><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li>Proficiency in Python and SQL languages<\/li><li>Understanding of cloud platforms<\/li><li>Knowledge of Machine Learning (ML) concepts<\/li><li>Basic concepts of Java and Scala programming<\/li><li>Knowledge of SQL and NoSQL databases<\/li><li>Principles of data warehousing and data modelling<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Prerequisites of the Exam<\/strong><\/h5>\n\n\n\n<p>Prerequisities forms a very essential part of any exam. Regarding the Google Cloud Certified Professional Data Engineer requirements, the following&nbsp; are the requirements:&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Candidate should possess scalability and efficiency<\/li><li>S\/he should be able to design and monitor data processing systems with a particular emphasis on security<\/li><li>Above all, a data engineer should be able to leverage and continuously train pre-existing machine learning models.<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Exam Details<\/strong><\/h5>\n\n\n\n<p>Before we proceed to the prerequisites for Google data engineer certification exam, we must know the requirement for the particular exam.<\/p>\n\n\n\n<p>Google Data Engineer Certification exam comprises of 15 questions which are multiple select and multiple choice. You will be given 2 hours to complete the test and score 70% to get through the exam. Further, the exam is valid for 2 years and is available in two languages: English and Japanese. Above all, the exam costs $200 USD.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"560\" height=\"315\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Exam-Name.png\" alt=\"Professional Data Engineer exam details\" class=\"wp-image-6465\"\/><\/figure><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Course Outline: Google Cloud Professional Data Engineer<\/strong><\/h3>\n\n\n\n<p>Take a glance at the topics that needed to be covered for the exam and you need to pay focus on:<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"711\" height=\"400\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-Timeline-Cycle-Presentation-711x400.png\" alt=\"Professional Data Engineer course Outline\" class=\"wp-image-6466\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-Timeline-Cycle-Presentation-711x400.png 711w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-Timeline-Cycle-Presentation.png 1920w\" sizes=\"auto, (max-width: 711px) 100vw, 711px\" \/><\/figure><\/div>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>1. Designing data processing systems<\/strong><\/h5>\n\n\n\n<p><strong>1.1 Selecting the appropriate storage technologies.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Mapping storage systems to business requirements (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/docs\/enterprise\/best-practices-for-enterprise-organizations\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for enterprise organizations<\/a>)<\/li><li>Data modeling (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/spanner\/docs\/schema-and-data-model\" target=\"_blank\" rel=\"noreferrer noopener\">Schema and data model<\/a>, <a href=\"https:\/\/cloud.google.com\/firestore\/docs\/data-model\" target=\"_blank\" rel=\"noreferrer noopener\">Data model<\/a>)<\/li><li>Tradeoffs involving latency, throughput, transactions (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/blog\/products\/gcp\/why-you-should-pick-strong-consistency-whenever-possible\" target=\"_blank\" rel=\"noreferrer noopener\">Database consistency<\/a>)<\/li><li>Distributed systems (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/using-clusters-for-large-scale-technical-computing\" target=\"_blank\" rel=\"noreferrer noopener\">Using clusters for large-scale technical computing in the cloud<\/a>, <a href=\"https:\/\/cloud.google.com\/solutions\/architecture\/global-data-distribution\" target=\"_blank\" rel=\"noreferrer noopener\">choosing the right architecture for global data distribution<\/a>)<\/li><li>Schema design (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/bigtable\/docs\/schema-design\" target=\"_blank\" rel=\"noreferrer noopener\">Designing your schema<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>1.2 Designing data pipelines.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Data publishing and visualization (e.g., BigQuery) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataprep\/docs\/html\/Overview-of-Visual-Profiling_57344621\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Visual Profiling<\/a>, <a href=\"https:\/\/cloud.google.com\/bigquery\/docs\/visualize-data-studio\" target=\"_blank\" rel=\"noreferrer noopener\">Visualizing BigQuery data using Data Studio<\/a>)<\/li><li>Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub\/Sub, Apache Kafka) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\" target=\"_blank\" rel=\"noreferrer noopener\">Dataflow<\/a>, <a href=\"https:\/\/cloud.google.com\/solutions\/stream-analytics\" target=\"_blank\" rel=\"noreferrer noopener\">Stream analytics<\/a>)<\/li><li>Online (interactive) vs. batch predictions (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/ai-platform\/prediction\/docs\/online-vs-batch-prediction\" target=\"_blank\" rel=\"noreferrer noopener\">Online versus batch prediction<\/a>)<\/li><li>Job automation and orchestration (e.g., Cloud Composer) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/composer\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Composer<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>1.3 Designing a data processing solution.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Choice of infrastructure<\/li><li>System availability and fault tolerance (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/architecture\/framework\/reliability\" target=\"_blank\" rel=\"noreferrer noopener\">Reliability<\/a>, <a href=\"https:\/\/cloud.google.com\/sql\/docs\/mysql\/high-availability\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of the high availability configuration<\/a>)<\/li><li>Use of distributed systems (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/using-clusters-for-large-scale-technical-computing\" target=\"_blank\" rel=\"noreferrer noopener\">Using clusters for large-scale technical computing in the cloud<\/a>, <a href=\"https:\/\/cloud.google.com\/solutions\/architecture\/global-data-distribution\" target=\"_blank\" rel=\"noreferrer noopener\">choosing the right architecture for global data distribution<\/a>)<\/li><li>Capacity planning (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/docs\/compare\/data-centers\/compute\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Platform for Data Center Professionals: Compute<\/a>)<\/li><li>Hybrid cloud and edge computing (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/hybrid-and-multi-cloud-architecture-patterns\" target=\"_blank\" rel=\"noreferrer noopener\">Hybrid and multi-cloud architecture patterns<\/a>)<\/li><li>Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/pubsub\" target=\"_blank\" rel=\"noreferrer noopener\">Pub\/Sub<\/a>)<\/li><li>At least once, in-order, and exactly once, etc., event processing (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/blog\/products\/gcp\/after-lambda-exactly-once-processing-in-google-cloud-dataflow-part-1\" target=\"_blank\" rel=\"noreferrer noopener\">Exactly-once processing in Google Cloud Dataflow<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>1.4 Migrating data warehousing and data processing.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Awareness of current state and how to migrate a design to a future state (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/migration-to-gcp-assessing-and-discovering-your-workloads\" target=\"_blank\" rel=\"noreferrer noopener\">Migration to Google Cloud: Assessing and discovering your workloads<\/a>, <a href=\"https:\/\/cloud.google.com\/solutions\/migration-to-gcp-getting-started\" target=\"_blank\" rel=\"noreferrer noopener\">Migration to Google Cloud: Getting started<\/a>)<\/li><li>Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/products\/data-transfer\" target=\"_blank\" rel=\"noreferrer noopener\">CLOUD DATA TRANSFER<\/a>)<\/li><li>Validating a migration (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/migration-to-gcp-getting-started\" target=\"_blank\" rel=\"noreferrer noopener\">Migration to Google Cloud: Getting started<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>2. Building and operationalizing data processing systems<\/strong><\/h5>\n\n\n\n<p><strong>2.1 Building and operationalizing storage systems.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/products\/databases\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Databases<\/a>, <a href=\"https:\/\/cloud.google.com\/bigtable\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Bigtable<\/a>)<\/li><li>Storage costs and performance (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/storage\/pricing\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Storage pricing<\/a>, <a href=\"https:\/\/cloud.google.com\/blog\/products\/storage-data-transfer\/best-practices-for-cloud-storage-cost-optimization\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for Cloud Storage cost optimization<\/a>)<\/li><li>Lifecycle management of data (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/storage\/docs\/lifecycle\" target=\"_blank\" rel=\"noreferrer noopener\">Object Lifecycle Management<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>2.2 Building and operationalizing pipelines.<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Data cleansing (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataprep\/docs\/html\/Cleanse-Tasks_57344582\" target=\"_blank\" rel=\"noreferrer noopener\">Cleanse Tasks<\/a>)<\/li><li>Batch and streaming (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\" target=\"_blank\" rel=\"noreferrer noopener\">Dataflow<\/a>, <a href=\"https:\/\/cloud.google.com\/blog\/products\/data-analytics\/how-cloud-batch-and-stream-data-processing-works\" target=\"_blank\" rel=\"noreferrer noopener\">Dataflow Under the Hood<\/a>)<\/li><li>Transformation (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataprep\/docs\/html\/Transform-Basics_57344544\" target=\"_blank\" rel=\"noreferrer noopener\">Transform Basics<\/a>)<\/li><li>Data acquisition and import (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/sql\/docs\/mysql\/import-export\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for importing and exporting data<\/a>, <a href=\"https:\/\/cloud.google.com\/products\/data-transfer\" target=\"_blank\" rel=\"noreferrer noopener\">CLOUD DATA TRANSFER<\/a>)<\/li><li>Integrating with new data sources (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/bigquery\/external-data-sources\" target=\"_blank\" rel=\"noreferrer noopener\">Introduction to external data sources<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>2.3 Building and operationalizing processing infrastructure. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Provisioning resources (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/network-connectivity\/docs\/interconnect\/how-to\/dedicated\/provisioning-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Provisioning Overview<\/a>, <a href=\"https:\/\/cloud.google.com\/solutions\/infrastructure-as-code\" target=\"_blank\" rel=\"noreferrer noopener\">Infrastructure as code<\/a>)<\/li><li>Monitoring pipelines (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\/docs\/guides\/using-cloud-monitoring\" target=\"_blank\" rel=\"noreferrer noopener\">Using Monitoring for Dataflow pipelines<\/a>, <a href=\"https:\/\/cloud.google.com\/dataflow\/docs\/guides\/using-monitoring-intf\" target=\"_blank\" rel=\"noreferrer noopener\">Using the Dataflow monitoring interface<\/a>)<\/li><li>Adjusting pipelines (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\/docs\/guides\/updating-a-pipeline\" target=\"_blank\" rel=\"noreferrer noopener\">Updating an existing pipeline<\/a>)<\/li><li>Testing and quality control (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/devops\/devops-tech-test-automation\" target=\"_blank\" rel=\"noreferrer noopener\">DevOps tech: Continuous testing<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>3. Operationalizing machine learning models<\/strong> <\/h5>\n\n\n\n<p><strong>3.1 Leveraging pre-built ML models as a service. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>ML APIs (e.g., Vision API, Speech API) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/vision\" target=\"_blank\" rel=\"noreferrer noopener\">Vision AI<\/a>, <a href=\"https:\/\/cloud.google.com\/vision\/docs\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Vision<\/a>)<\/li><li>Customizing ML APIs (e.g., AutoML Vision, Auto ML text) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/vision\/automl\/docs\" target=\"_blank\" rel=\"noreferrer noopener\">AutoML Vision<\/a>)<\/li><li>Conversational experiences (e.g., Dialogflow) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dialogflow\/docs\" target=\"_blank\" rel=\"noreferrer noopener\">Dialogflow<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>3.2 Deploying an ML pipeline. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Ingesting appropriate data (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/data-lifecycle-cloud-platform\" target=\"_blank\" rel=\"noreferrer noopener\">Data lifecycle<\/a>)<\/li><li>Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/blog\/products\/ai-machine-learning\/getting-started-kubeflow-pipelines\" target=\"_blank\" rel=\"noreferrer noopener\">Getting started with Kubeflow Pipelines<\/a>, <a href=\"https:\/\/cloud.google.com\/ai-platform\" target=\"_blank\" rel=\"noreferrer noopener\">AI Platform<\/a>)<\/li><li>Continuous evaluation (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/ai-platform\/prediction\/docs\/continuous-evaluation\" target=\"_blank\" rel=\"noreferrer noopener\">Continuous evaluation<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>3.3 Choosing the appropriate training and serving infrastructure. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Distributed vs. single machine (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/architecture\/global-data-distribution\" target=\"_blank\" rel=\"noreferrer noopener\">Choosing the right architecture for global data distribution<\/a>, <a href=\"https:\/\/cloud.google.com\/ai-platform\/training\/docs\/machine-types\" target=\"_blank\" rel=\"noreferrer noopener\">Specifying machine types or scale tiers<\/a>)<\/li><li>Use of edge compute (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/iot\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud IoT<\/a>)<\/li><li>Hardware accelerators (e.g., GPU, TPU) (<strong>Google Documentation: <\/strong><a href=\"https:\/\/cloud.google.com\/tpu\/docs\/tpus\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Tensor Processing Units (TPUs)<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>3.4 Measuring, monitoring, and troubleshooting machine learning models. Considerations<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/developers.google.com\/machine-learning\/glossary\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning Glossary<\/a>, <a href=\"https:\/\/cloud.google.com\/bigquery-ml\/docs\/bigqueryml-intro\" target=\"_blank\" rel=\"noreferrer noopener\">Introduction to BigQuery ML<\/a>)<\/li><li>Impact of dependencies of machine learning models (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/building-a-serverless-ml-model\" target=\"_blank\" rel=\"noreferrer noopener\">Building a Serverless Machine Learning Model<\/a>, <a href=\"https:\/\/cloud.google.com\/ai-platform\/docs\/ml-solutions-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Machine learning workflow<\/a>)<\/li><li>Common sources of error (e.g., assumptions about data) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\/docs\/guides\/common-errors\" target=\"_blank\" rel=\"noreferrer noopener\">Common error guidance<\/a>)<\/li><\/ul>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.testpreptraining.ai\/google-cloud-certified-professional-data-engineer-free-practice-test\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"117\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-1-750x117.png\" alt=\" free practice tests\" class=\"wp-image-6471\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-1-750x117.png 750w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-1.png 961w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/a><\/figure><\/div>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>4. Ensuring solution quality<\/strong><\/h5>\n\n\n\n<p><strong>4.1 Designing for security and compliance. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Identity and access management (e.g., Cloud IAM) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/iam\/docs\" target=\"_blank\" rel=\"noreferrer noopener\">Identity and Access Management<\/a>)<\/li><li>Data security (encryption, key management) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/security\/encryption-at-rest\/default-encryption\" target=\"_blank\" rel=\"noreferrer noopener\">Encryption at rest in Google Cloud<\/a>)<\/li><li>Ensuring privacy (e.g., Data Loss Prevention API) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dlp\/docs\/reference\/rest\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Data Loss Prevention (DLP) API<\/a>)<\/li><li>Legal compliance (e.g., Health Insurance Portability, and Accountability Act (HIPAA), Children&#8217;s Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR)) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/gsuite.google.com\/learn-more\/security\/security-whitepaper\/page-8.html\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Security and Compliance<\/a>, <a href=\"https:\/\/cloud.google.com\/security\/gdpr\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud &amp; the General Data Protection Regulation (GDPR)<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>4.2 Ensuring scalability and efficiency. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Building and running test suites (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/community\/tutorials\/cloudbuild-test-runner\" target=\"_blank\" rel=\"noreferrer noopener\">Community Tutorials<\/a>, <a href=\"https:\/\/cloud.google.com\/cloud-build\/docs\/deploying-builds\/deploy-cloud-run\" target=\"_blank\" rel=\"noreferrer noopener\">Deploying to Cloud Run<\/a>)<\/li><li>Pipeline monitoring (e.g., Stackdriver) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataflow\/docs\/guides\/using-cloud-monitoring\" target=\"_blank\" rel=\"noreferrer noopener\">Using Monitoring for Dataflow pipelines<\/a>)<\/li><li>Assessing, troubleshooting, and improving data representations and data processing infrastructure (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/machine-learning\/data-preprocessing-for-ml-with-tf-transform-pt1\" target=\"_blank\" rel=\"noreferrer noopener\">Data preprocessing for machine learning: options and recommendations<\/a>)<\/li><li>Resizing and autoscaling resources (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/compute\/docs\/autoscaler\" target=\"_blank\" rel=\"noreferrer noopener\">Autoscaling groups of instances<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>4.3 Ensuring reliability and fidelity. Considerations <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Performing data preparation and quality control (e.g., Cloud Dataprep) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/dataprep\" target=\"_blank\" rel=\"noreferrer noopener\">Dataprep by Trifacta<\/a>)<\/li><li>Verification and monitoring (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/monitoring\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Monitoring<\/a>)<\/li><li>Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis) (<strong>Google Documentation:<\/strong>  <a href=\"https:\/\/cloud.google.com\/solutions\/dr-scenarios-planning-guide\" target=\"_blank\" rel=\"noreferrer noopener\">Disaster recovery planning guide<\/a>)<\/li><li>Choosing between ACID, idempotent, eventually consistent requirements (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/datastore\/docs\/articles\/balancing-strong-and-eventual-consistency-with-google-cloud-datastore\" target=\"_blank\" rel=\"noreferrer noopener\">Balancing Strong and Eventual Consistency with Datastore<\/a>)<\/li><\/ul>\n\n\n\n<p><strong>4.4 Ensuring flexibility and portability. Considerations<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Mapping to current and future business requirements (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/docs\/enterprise\/best-practices-for-enterprise-organizations\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for enterprise organizations<\/a>)<\/li><li>Designing for data and application portability (e.g., multi-cloud, data residency requirements) (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/solutions\/hybrid-and-multi-cloud-patterns-and-practices\" target=\"_blank\" rel=\"noreferrer noopener\">Hybrid and multi-cloud patterns and practices<\/a>)<\/li><li>Data staging, cataloguing, and discovery (<strong>Google Documentation:<\/strong> <a href=\"https:\/\/cloud.google.com\/data-catalog\/docs\/concepts\/overview\" target=\"_blank\" rel=\"noreferrer noopener\">Data Catalog overview<\/a>)<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>The whole<\/strong> <strong>Certification Process<\/strong><\/h3>\n\n\n\n<p>As mentioned above, the exam is online Proctored examination.&nbsp;<\/p>\n\n\n\n<p><strong>Exam Delivery Method<\/strong>:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Take the online-proctored exam from a remote location, review the online testing <a href=\"https:\/\/www.webassessor.com\/wa.do?page=certInfo&amp;branding=GOOGLECLOUD&amp;tabs=13\" target=\"_blank\" rel=\"noreferrer noopener\">requirements<\/a>.<\/li><li>Take the onsite-proctored exam at a testing center, <a href=\"https:\/\/www.kryteriononline.com\/Locate-Test-Center\" target=\"_blank\" rel=\"noreferrer noopener\">Locate a test center near you<\/a>.<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Book\/Schedule the exam<\/strong><\/h4>\n\n\n\n<p>If you are determined enough to go for this exam and become a certified Google Data Engineer, then it\u2019s time to register for the exam and go-ahead for the preparation. Following are the steps to apply for the exam:<\/p>\n\n\n\n<p>To book the exam, you can go to the Official <a href=\"https:\/\/cloud.google.com\/certification\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud website<\/a>.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>You will need a Web assessor account. You are supposed to create a one in order to register yourself for the exam. To create, click <a href=\"https:\/\/webassessor.com\/wa.do?page=createAccount&amp;branding=GOOGLECLOUD\">here<\/a><\/li><li>Create the account with your personal email address and not your work address.<\/li><li>Check the catalogue and register for the exam you want to apply for.<\/li><li>Choose the exam centre i.e. Kryterion Testing Centre.<\/li><li>When you register for an exam, you will need to schedule an exam time at a Kryterion testing centre that is convenient for you. You can locate the nearest testing centre <a href=\"https:\/\/www.kryteriononline.com\/Locate-Test-Center\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Retake the Exam<\/strong><\/h4>\n\n\n\n<p>For instance, if you don\u2019t pass the certification exam, you can take it again after 14 days.&nbsp;<\/p>\n\n\n\n<p>Similarly, if you don\u2019t pass the second time, you must wait 60 days.<\/p>\n\n\n\n<p>Further, if you don\u2019t pass the third attempt, you\u2019ll have to wait a year before trying again. Above all, payment is required each time you take an exam.&nbsp;<\/p>\n\n\n\n<p><em>Note: Trying to sidestep the retake policy by registering under a different name is a violation of the exam terms and conditions and will result in a denied or revoked certification.<\/em><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Maintaining the Certification<\/strong><\/h4>\n\n\n\n<p>It is highly important to note that all Google cloud certifications are valid for two years from the date certified. Therefore, candidates must recertify their certificates in order to maintain their certification status and certificate number.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.testpreptraining.ai\/google-cloud-certified-professional-data-engineer-free-practice-test\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"117\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-3-750x117.png\" alt=\" free practice tests\" class=\"wp-image-6473\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-3-750x117.png 750w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-3.png 961w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/a><\/figure><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Exam Day<\/strong><\/h4>\n\n\n\n<p>After crossing all the hurdles, comes your exam day. All your hard work is going to take shape. In other words, you are going to get your output in your hand. In order to receive one, you should remember the following points:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Firstly, you should arrive before the arrival time at the exam centre with valid identity proof (a voter ID card which differs depending upon the location and country).<\/li><li>Secondly, you can just contact the customer care of the testing centre to take information about the perquisites of the exam or check the official certification page.<\/li><li>Thirdly, you will be given a locker where you can keep your belongings at the test centre.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Exam Policies<\/strong><\/h3>\n\n\n\n<p>Google Cloud Certification provides exam policies to support the candidates by providing every detail related to the certification program. However, candidates during studying for the Google Cloud Professional Data Engineer exam should first go through and understand the Google Cloud Certification exam policies. On this page, the candidates will get information about after the exam or before exam procedures. This includes the exam retaking process, rules to be followed during the exam time, and other information about the exams and its testing centres.<\/p>\n\n\n\n<p>While preparing for the Google Cloud Professional Data Engineer exam you will be solely responsible for understanding and complying with Google Cloud Professional Data Engineer exam policies, together with the specified exam delivery provider\u2019s policies and procedures.&nbsp;&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"560\" height=\"315\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-2.png\" alt=\"FAQ\" class=\"wp-image-6467\"\/><\/figure><\/div>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>For more queries, visit the <a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-cloud-certified-professional-data-engineer-faq\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Certified Professional Data Engineer FAQ<\/a>. <\/strong><\/h5>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Preparation Resources to become a Google Cloud Certified Professional Data Engineer<\/strong><\/h3>\n\n\n\n<p>As you commence your preparation for GCP Cloud Developer certification exam, there are some common-yet-powerful methods that are beneficial in your preparation. There are so many candidates who prepare for certification by studying a book and later are disappointed if they can\u2019t qualify the exam. However, the reality is much different than the expectation.&nbsp; Just acknowledging the source information is only a small part of the preparation guide.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"228\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Green-and-White-Technology-LinkedIn-750x228.png\" alt=\"Professional Data Engineer\" class=\"wp-image-6468\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Green-and-White-Technology-LinkedIn-750x228.png 750w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Green-and-White-Technology-LinkedIn.png 1400w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/figure><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Review the Exam Guide<\/strong><\/h4>\n\n\n\n<p>The <a href=\"https:\/\/cloud.google.com\/certification\/guides\/data-engineer\" target=\"_blank\" rel=\"noreferrer noopener\">exam guide<\/a> has a complete list of topics and domains that are included in the exam. So, review the exam guide to determine if your skills align with the topics on the exam. This will allow you to have a better understanding of the Google Cloud Certified Professional Data Engineer exam.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"711\" height=\"400\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-and-Black-Step-by-Step-Process-Chart-Presentation-1-711x400.png\" alt=\"Professional Data Engineer learning resources\" class=\"wp-image-6470\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-and-Black-Step-by-Step-Process-Chart-Presentation-1-711x400.png 711w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Blue-and-Black-Step-by-Step-Process-Chart-Presentation-1.png 1920w\" sizes=\"auto, (max-width: 711px) 100vw, 711px\" \/><\/figure><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Get started with<\/strong> <strong>Training Program<\/strong><\/h4>\n\n\n\n<p>When it comes to certification exams, there\u2019s nothing better than the Google Cloud Certified Professional Data Engineer Training programs. These offer the candidates with such deep knowledge and insights of the Google Cloud Platform.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Data Engineering on Google Cloud Platform<\/strong><\/h5>\n\n\n\n<p>This four-day instructor-led class provides participants with a hands-on introduction to designing and building data pipelines on <a href=\"https:\/\/google.qwiklabs.com\/courses\/1423\">Google Cloud Platform<\/a>. With a combination of presentations, demos, and hands-on labs, candidates learn the process of designing a data system.&nbsp; Not to mention, they also learn and build end-to-end data pipelines, analyze data and derive insights. This particular course entails everything structured, unstructured, and streaming data.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Don&#8217;t underestimate the power of Hands-on practice<\/strong>!<\/h4>\n\n\n\n<p>Since this particular exam tests technical skills related to the job profiles. Hence <a href=\"https:\/\/cloud.google.com\/certification\/data-engineer\" target=\"_blank\" rel=\"noreferrer noopener\">Hands-on experience<\/a> is the best preparation for the exam. If after training program candidates feel like having more experience or practise, we strongly suggest using the hands-on labs available on Qwiklabs. Also, they are available on the GCP free tier to grade up candidates knowledge and skills.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Google Cloud Free Tie<\/strong>r<\/h5>\n\n\n\n<p>The <a href=\"https:\/\/cloud.google.com\/free\/docs\/gcp-free-tier\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Free Tier<\/a> provides the candidate with free resources to study Google Cloud services. This becomes all the more enriching for a candidate if they are completely new to the platform and need to learn the basics. On the other hand, if suppose you&#8217;re an established customer and want to experiment with new solutions, the Google Cloud Free Tier has got you covered.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Google Cloud Essentials<\/strong><\/h5>\n\n\n\n<p>In this introductory-level quest, the candidate will get hands-on practice with Google Cloud\u2019s fundamental tools and services. <a href=\"https:\/\/google.qwiklabs.com\/quests\/23?utm_source=gcp&amp;utm_medium=site&amp;utm_campaign=certification\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Essentials<\/a> is the recommended first Quest for the Google Cloud learner. This provides the candidate with practical experience that they can apply to their first Google Cloud project. From writing Cloud Shell commands and marshaling their first virtual machine, to running applications on Kubernetes Engine or with load balancing. All this can be easily done with the help of Google Cloud Essential. Since it is the prime introduction to the platform\u2019s basic features.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Data Engineering<\/strong><\/h5>\n\n\n\n<p>This advanced-level quest is unparalleled amongst the other Qwiklabs offerings. The labs are curated to provide the IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query to Dataprep, to Cloud Composer &amp; Tensorflow, this quest is composed of specific labs that will put your GCP data engineering knowledge to the test. Not to mention, this will increase candidates&#8217; skills and abilities, so they won\u2019t require other preparation. As the exam is quite challenging. Therefore,&nbsp; external studying, practice, or background in cloud data engineering is urged.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Additional resources<\/strong> <strong>for the Professional Data Engineer in you<\/strong><\/h4>\n\n\n\n<p>When it comes to certification exams like Google Cloud Certified Professional Data Engineer, the more the learning resources, the better will be the outcome. In the same vein, if candidate requires more in-depth knowledge and wants to critically acknowledge their components of Google Cloud Platform. So, for that, we\u2019re providing you two Quick links for additional resources.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/cloud.google.com\/docs\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Platform Documentation<\/a><\/li><li><a href=\"https:\/\/cloud.google.com\/certification\/guides\/data-engineer\" target=\"_blank\" rel=\"noreferrer noopener\">Official Google Cloud Certified Professional Data Engineer Study Guide<\/a><\/li><li><a href=\"https:\/\/cloud.google.com\/docs\/tutorials\" target=\"_blank\" rel=\"noreferrer noopener\">Technical Guides<\/a><\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Self-Evaluation makes you better<\/strong>&nbsp;<\/h4>\n\n\n\n<p>And, finally, it\u2019s time for self-evaluation. Take it from us, <a href=\"https:\/\/www.testpreptraining.ai\/google-cloud-certified-professional-data-engineer-free-practice-test\" target=\"_blank\" rel=\"noreferrer noopener\">Self Evaluation<\/a> is the last step of your success. Therefore Google Cloud Certified Professional Data Engineer Practice Exams are all you need. The more you\u2019re going to practice, it\u2019s better for you.<\/p>\n\n\n\n<p>Not only does it assists you in understanding the areas where you lack but also, ensures you\u2019re improving your skills as well. So, keep on practicing as many practice tests as much you can. <a href=\"https:\/\/www.testpreptraining.ai\/certified-professional-data-engineer-practice-exam\" target=\"_blank\" rel=\"noreferrer noopener\">FOR MORE PRACTICE TEST, CLICK HERE!<\/a><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.testpreptraining.ai\/google-professional-data-engineer-questions\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"117\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-2-750x117.png\" alt=\"free practice tests\" class=\"wp-image-6472\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-2-750x117.png 750w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/06\/Google-Cloud-Certified-Professional-Data-Engineer-1-2.png 961w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/a><\/figure><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>A certification is just a test away. So, prepare with the online Learning tutorial and advanced learning resources to become a <a href=\"https:\/\/www.testpreptraining.ai\/google-professional-data-engineer-questions\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Certified Professional Data Engineer Now<\/a>!<\/strong><\/h4>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Google Cloud Professional Data Engineer Learning Resources <\/strong><\/h2>\n\n\n\n<p>The Professional Data Engineer exam enables data-driven decision making by collecting, transforming, and visualizing data. The sole objective of a Google Cloud Certified &#8211; Professional Data Engineer is to design, build, maintain, and troubleshoot data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of the systems.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Table of Contents<\/strong><\/h4>\n\n\n\n<p><strong>Cloud Basics<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-computing-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud computing<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-computing-models-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud-computing models<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/gcp-basics-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>GCP Basics<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/gcp-services-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">GCP Services<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-cloud-functions-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Functions<\/a><\/li><\/ul>\n\n\n\n<p><strong>Storage Models<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/er-model-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">ER Model<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/nosql-model-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">NoSQL Model<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-products-and-storage-options-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Products and Storage Options<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/big-data-architectures-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Big Data Architectures<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/capacity-planning-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Capacity Planning<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-migration-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Data Migration<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/present-environment-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Present Environment<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/workload-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Workload<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/types-of-migrations-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Types of migrations<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-cloud-adoption-framework-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Cloud Adoption Framework<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/the-migration-process-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">The migration Process<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-quality-management-google-professional-data-engineer-gcp\/\"><strong>Data Quality <\/strong><\/a><strong><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-quality-management-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Management<\/a><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/validate-data-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Validate Data<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/quality-metadata-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Quality metadata<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/auditing-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Auditing<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-lifecycle-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Data Lifecycle<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/ingest-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ingest<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/store-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Store<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/process-and-analyze-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Process and analyze<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/explore-and-visualize-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Explore and visualize<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/orchestration-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Orchestration<\/a><\/li><\/ul>\n\n\n\n<p><strong>Schema Design<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/what-is-schema-design-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">What is Schema Design<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/relational-schema-design-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Relational Schema Design<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/non-relational-schema-design-in-cloud-bigtable-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Non-relational Schema Design in Cloud Bigtable<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/table-design-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Table design<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-sql-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cloud SQL<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-sql-features-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud SQL Features<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/importing-data-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Importing Data<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/exporting-data-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Exporting Data<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloudsql-instance-settings-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">CloudSQL Instance settings<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datastore-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Datastore<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datastore-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Datastore Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-organization-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Organization<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/queries-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Queries<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/indexing-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Indexing<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-consistency-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Consistency<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigtable-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Bigtable<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigtable-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Bigtable Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-bigtable-architecture-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Bigtable architecture<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-organization-google-professional-data-engineer-gcp-2\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Organization<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/load-balancing-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Load balancing<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/columns-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Columns<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/supported-data-types-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Supported data types<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/empty-cells-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Empty cells<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/column-qualifiers-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Column qualifiers<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/compactions-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Compactions<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/mutations-and-deletions-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Mutations and deletions<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-compression-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data compression<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-durability-google-professional-data-engineer-gcp\/\">Data durability<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/security-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Security<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/instance-configuration-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Instance Configuration<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/storage-types-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Storage types<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/data-management-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Management<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cbt-tool-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">cbt tool<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/best-practices-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Best Practices<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-spanner-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cloud Spanner<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-spanner-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Spanner Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/schema-and-data-model-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Schema and data model<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-spanner-instances-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Spanner Instances<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-pub-sub-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cloud Pub\/Sub<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-pub-sub-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Pub\/Sub Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/monitoring-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-dataflow-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cloud Dataflow<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-dataflow-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Dataflow Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/key-concepts-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Key Concepts<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/pipeline-design-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Pipeline Design<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/pipeline-lifecycle-creation-and-transform-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Pipeline Lifecycle, creation and Transform<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-dataflow-templates-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Dataflow templates<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/streaming-pipeline-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Streaming Pipeline<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/best-practices-streaming-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Best Practices<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/dataproc-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Dataproc<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/dataproc-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dataproc Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/configure-dataproc-cluster-and-submit-job-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Configure Dataproc Cluster and Submit Job<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/migration-to-google-cloud-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Migrating to Google Cloud<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/best-practices-dataproc-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Best Practices<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigquery-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>BigQuery<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigquery-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">BigQuery Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/interacting-with-bigquery-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Interacting with BigQuery<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/loading-data-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Loading Data<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/exporting-data-google-professional-data-engineer-gcp-2\/\" target=\"_blank\" rel=\"noreferrer noopener\">Exporting Data<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/optimize-for-performance-and-cost-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Optimize for Performance and Cost<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/queries-google-professional-data-engineer-gcp-2\/\" target=\"_blank\" rel=\"noreferrer noopener\">Queries<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigquery-logging-and-monitoring-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">BigQuery Logging and Monitoring<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/bigquery-best-practices-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">BigQuery Best Practices<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-stackdriver-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Google Stackdriver<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/monitoring-google-professional-data-engineer-gcp-2\/\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/logging-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Logging<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/error-reporting-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Error Reporting<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/debugging-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Debugging<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/tracing-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tracing<\/a><\/li><\/ul>\n\n\n\n<p><strong>Machine Learning<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/what-is-machine-learning-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">What is Machine Learning?<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/inductive-learning-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Inductive Learning<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/machine-learning-algorithms-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning Algorithms<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/neural-networks-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Neural Networks<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-ai-platform-formerly-cloud-ml-engine-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Google AI Platform (Formerly Cloud ML Engine)<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/ai-platform-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Platform Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/ai-platform-training-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Platform Training<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/ai-platform-pipelines-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Platform Pipelines<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/pre-trained-machine-learning-apis-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Pre-trained Machine Learning API&#8217;s<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/pre-trained-ml-apis-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Pre-trained ML API&#8217;s<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-vision-product-search-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Vision Product Search<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/vision-api-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Vision API<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/nl-api-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">NL API<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datalab-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Datalab<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datalab-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Datalab Overview<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/running-datalab-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Running Datalab<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/dataprep-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Dataprep<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/dataprep-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dataprep Overview<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datastudio-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>DataStudio<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/datastudio-basics-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">DataStudio Basics<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/steps-to-use-the-tool-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Steps to use the tool<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-composer-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cloud Composer<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-composer-overview-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Composer Overview<\/a><\/li><\/ul>\n\n\n\n<p><strong>Security and Compliance<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-security-culture-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Google Security Culture<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/operational-security-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Operational Security<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/technology-with-security-at-its-core-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Technology with Security at Its Core<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/independent-third-party-certifications-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Independent Third-Party Certifications<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/regulatory-compliance-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Regulatory compliance<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/general-data-protection-regulation-gdpr-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">General Data Protection Regulation (GDPR)<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/the-health-insurance-portability-and-accountability-act-of-1996-hipaa-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Health Insurance Portability and Accountability Act of 1996 (HIPAA)<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-data-loss-prevention-dlp-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Data Loss Prevention (DLP)<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/encryption-basics-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Encryption Basics<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-key-management-service-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Key Management Service<\/a><\/li><\/ul>\n\n\n\n<p><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-iam-google-professional-data-engineer-gcp\/\"><strong>Cloud IAM<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/access-management-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Access management<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-iam-policy-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud IAM policy<\/a><\/li><li><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-iam-working-google-professional-data-engineer-gcp\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud IAM working<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Data Engineers make it feasible for corporations to mesh in all the fancy advanced analytics and insight generation that data science offers. All this is done by creating trust and industry-wide access to accurate, reliable data at scale with sound data infrastructure and architecture.&nbsp;The Google Cloud Certified Professional Data Engineer helps you broaden your career&#8230;<\/p>\n","protected":false},"author":1,"featured_media":6463,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[5717,5720,617],"tags":[905,622,909,910,4],"class_list":["post-6461","page","type-page","status-publish","has-post-thumbnail","hentry","category-cloud-computing","category-database","category-google-gcp","tag-gcp-data-engineer","tag-google-certification","tag-google-cloud-data-engineer","tag-google-professional-data-engineer","tag-m4f"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google Cloud Certified Professional Data Engineer | Study Guide<\/title>\n<meta name=\"description\" content=\"Elevate your career with the Google Cloud Platform. 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