{"id":28760,"date":"2023-02-23T11:00:00","date_gmt":"2023-02-23T05:30:00","guid":{"rendered":"https:\/\/www.testpreptraining.com\/blog\/?p=28760"},"modified":"2023-02-23T16:16:34","modified_gmt":"2023-02-23T10:46:34","slug":"how-hard-is-the-aws-certified-data-analytics-specialty-exam","status":"publish","type":"post","link":"https:\/\/www.testpreptraining.ai\/blog\/how-hard-is-the-aws-certified-data-analytics-specialty-exam\/","title":{"rendered":"How hard is the AWS Certified Data Analytics Specialty Exam?"},"content":{"rendered":"\n<p>The AWS Certified Data Analytics Specialty Exam is designed to validate a candidate&#8217;s skills and expertise in using AWS services for designing and implementing big data solutions. The exam is considered to be challenging and requires a solid understanding of the AWS ecosystem, big data technologies, and data analytics concepts.<\/p>\n\n\n\n<p>The exam consists of 65 multiple-choice and multiple-response questions that need to be answered within 3 hours. The questions are designed to test a candidate&#8217;s knowledge of topics such as data collection, processing, storage, and analysis using various AWS services, including Amazon S3, Amazon EMR, Amazon Redshift, Amazon Kinesis, and Amazon QuickSight.<\/p>\n\n\n\n<p>To pass the exam, candidates need to achieve a minimum score of 750 out of 1000. However, the difficulty level of the exam may vary from person to person, depending on their experience and familiarity with the AWS services and data analytics concepts.<\/p>\n\n\n\n<p>Overall, the AWS Certified Data Analytics Specialty Exam is considered to be a challenging exam, but with adequate preparation and hands-on experience with AWS services, candidates can increase their chances of passing the exam.<\/p>\n\n\n\n<p><strong><em>In this post, we will discover how hard is the AWS Certified Data Analytics Specialty Exam and how to crack it!<\/em><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>About AWS Certified Data Analytics Specialty<\/strong><\/h3>\n\n\n\n<p>The AWS Certified Data Analytics Specialty Exam certificate helps businesses identify and advance personnel with key abilities for carrying out cloud activities. Having an AWS Certified Data Analytics &#8211; Specialty certifies that you are knowledgeable about using AWS data lakes and analytics services to extract wisdom from data. The exam also assesses candidates&#8217; knowledge and comprehension of how to design, construct, implement, and defend data analytics solutions on the AWS platform. Additionally, it looks at how the prospect feels about other AWS data analytics services.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Recommended Knowledge<\/strong><\/h4>\n\n\n\n<p>The AWS Certified Data Analytics &#8211; Specialty program is intended for users with experience building, designing, securing, and managing analytics applications using AWS services. We advise that you have the following before taking this test:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>First and foremost, five or more years of experience with data analytics tools<\/li><li>Additionally, the candidate must have at least two years of actual, hands-on experience using AWS.<\/li><li>Lastly, experience developing, designing, securing, and maintaining analytics systems using AWS services.<\/li><\/ul>\n\n\n\n<p><em>Let us now move to the main point &#8211; <\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AWS Certified Data Analytics Specialty Exam: Difficulty Level<\/strong><\/h3>\n\n\n\n<p>An in-depth understanding of data analytics technologies and solutions is required to pass the difficult and complex AWS Data Analytics certification test. In addition to having a thorough understanding of data analysis techniques and methodologies, an analyst with AWS Data Analytics also knows which AWS tool or service should be applied to each issue. There won&#8217;t be many questions on fundamental data analytics knowledge on the AWS Data Analytics test, but it will expand on that knowledge. Therefore, you should be familiar with the fundamentals before taking the exam.<\/p>\n\n\n\n<p>You should be familiar with the handling of organized, semi-structured, and unstructured data types, as well as their similarities and differences. Different types of data storage, like data lakes, warehouses, and S3 buckets, should already be familiar to you, along with how to work with them. You should be familiar with OLTP and OLAP systems, as well as batch and stream processing. You ought to be familiar with ACID and BASE compliance and what an ETL process can do to guarantee compliance. Additionally, you must be familiar with the AWS services and pipelines that work with those principles.<\/p>\n\n\n\n<p><em>Let us now look at the exam format and some resources that can help you ace the exam and ultimately grab a job!<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Exam Format <\/strong><\/h3>\n\n\n\n<p>Understanding the test format will help applicants tailor their preparations to the test and its objectives.&nbsp;The applicant will initially need to work toward 65 Multiple Choice and Multi-Response Questions. The candidate will also have 180 minutes to finish it. It is also accessible in English, Korean, Japanese, and Simplified Chinese and will cost them about $300 USD. Most importantly, they must get passing scores between 75% and 80% to earn this certification. Let&#8217;s now examine the exam&#8217;s course outline.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Course Structure<\/strong><\/h3>\n\n\n\n<p>The applicant should be knowledgeable about these fields and the issues they address.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Domain 1: Collection<\/strong><\/h5>\n\n\n\n<p>1.1 Determine the operational characteristics of the collection system<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Evaluate that the data loss is within tolerance limits in the event of failures&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/awssupport\/latest\/user\/fault-tolerance-checks.html\" target=\"_blank\" rel=\"noreferrer noopener\">Fault tolerance<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/framework\/a-failure-management.html\" target=\"_blank\" rel=\"noreferrer noopener\">Failure Management<\/a>)<\/li><li>Evaluate costs associated with data acquisition, transfer, and provisioning from various sources into the collection system (e.g., networking, bandwidth, ETL\/data migration costs)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/cloud-data-migration\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Data Migration<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/cost-optimization-pillar\/plan-for-data-transfer.html\" target=\"_blank\" rel=\"noreferrer noopener\">Plan for Data Transfer<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/ec2\/faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon EC2 FAQs<\/a>)<\/li><li>Assess the failure scenarios that the collection system may undergo, and take remediation actions based on impact&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/config\/latest\/developerguide\/remediation.html\" target=\"_blank\" rel=\"noreferrer noopener\">Remediating Noncompliant AWS Resources<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/securityhub\/latest\/userguide\/securityhub-cis-controls.html\" target=\"_blank\" rel=\"noreferrer noopener\">CIS AWS Foundations Benchmark controls<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/framework\/a-failure-management.html\" target=\"_blank\" rel=\"noreferrer noopener\">Failure Management<\/a>)<\/li><li>Determine data persistence at various points of data capture&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/sagemaker\/latest\/dg\/model-monitor-data-capture.html\" target=\"_blank\" rel=\"noreferrer noopener\">Capture data<\/a>)<\/li><li>Identify the latency characteristics of the collection system&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/ebs-io-characteristics.html\" target=\"_blank\" rel=\"noreferrer noopener\">I\/O characteristics and monitoring<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/monitoring\/cloudwatch_concepts.html\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon CloudWatch concepts<\/a>)<\/li><\/ul>\n\n\n\n<p>1.2 Select a collection system that handles the frequency, volume, and the source of data<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Describe and characterize the volume and flow characteristics of incoming data (streaming, transactional, batch)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/streaming-data-processing-characteristics.html\" target=\"_blank\" rel=\"noreferrer noopener\">Characteristics<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/streaming-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">streaming data<\/a>)<\/li><li>Match flow characteristics of data to potential solutions<\/li><li>Assess the tradeoffs between various ingestion services taking into account scalability, cost, fault tolerance, latency, etc.&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/emr\/faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon EMR FAQs<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/building-data-lakes\/data-ingestion-methods.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data ingestion methods<\/a>)<\/li><li>Explain the throughput capability of a variety of different types of data collection and identify bottlenecks&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/caching\/\" target=\"_blank\" rel=\"noreferrer noopener\">Caching Overview<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/ebs-io-characteristics.html\" target=\"_blank\" rel=\"noreferrer noopener\">I\/O characteristics and monitoring<\/a>)<\/li><li>Choose a collection solution that satisfies connectivity constraints of the source data system<\/li><\/ul>\n\n\n\n<p>1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Describe how to capture data changes at the source&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/database\/capture-changes-from-amazon-documentdb-via-aws-lambda-and-publish-them-to-amazon-msk\/\" target=\"_blank\" rel=\"noreferrer noopener\">Capture changes from Amazon DocumentDB<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/dms\/latest\/userguide\/CHAP_Task.CDC.html\" target=\"_blank\" rel=\"noreferrer noopener\">Creating tasks for ongoing replication using AWS DMS<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/UserGuide\/Appendix.SQLServer.CommonDBATasks.CDC.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using change data capture<\/a>)<\/li><li>Discuss data structure and format, compression applied, and encryption requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/c_Compression_encodings.html\" target=\"_blank\" rel=\"noreferrer noopener\">Compression encodings<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/compression-formats.html\" target=\"_blank\" rel=\"noreferrer noopener\">Athena compression support<\/a>)<\/li><li>Distinguish the impact of out-of-order delivery of data, duplicate delivery of data, and the tradeoffs between at-most-once, exactly-once, and at-least-once processing&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSSimpleQueueService\/latest\/SQSDeveloperGuide\/FIFO-queues.html\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon SQS FIFO (First-In-First-Out) queues<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSSimpleQueueService\/latest\/SQSDeveloperGuide\/welcome.html\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon Simple Queue Service<\/a>)<\/li><li>Describe how to transform and filter data during the collection process&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/sagemaker\/latest\/dg\/data-wrangler-transform.html\" target=\"_blank\" rel=\"noreferrer noopener\">Transform Data<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/aws-glue-api-crawler-pyspark-transforms-filter.html\" target=\"_blank\" rel=\"noreferrer noopener\">Filter class<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Domain 2: Storage and Data Management<\/strong><\/h5>\n\n\n\n<p>2.1 Determine the operational characteristics of the storage solution for analytics<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine the appropriate storage service(s) on the basis of cost vs. performance&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/s3\/pricing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon S3 pricing<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/performance-efficiency-pillar\/storage-architecture-selection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage Architecture Selection<\/a>)<\/li><li>Understand the durability, reliability, and latency characteristics of the storage solution based on requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/storage-services.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/framework\/a-selection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Selection<\/a>)<\/li><li>Determine the requirements of a system for strong vs. eventual consistency of the storage system&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/s3\/consistency\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon S3 Strong Consistency<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/comparing-dynamodb-and-hbase-for-nosql\/consistency-model.html\" target=\"_blank\" rel=\"noreferrer noopener\">Consistency Model<\/a>)<\/li><li>Determine the appropriate storage solution to address data freshness requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/storage-services.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/performance-efficiency-pillar\/storage-architecture-selection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage Architecture Selection<\/a>)<\/li><\/ul>\n\n\n\n<p>2.2 Determine data access and retrieval patterns<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine the appropriate storage solution based on update patterns (e.g., bulk, transactional, micro batching)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/wa.aws.amazon.com\/wat.question.PERF_3.en.html\" target=\"_blank\" rel=\"noreferrer noopener\">select your storage solution<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/batch-ops.html\" target=\"_blank\" rel=\"noreferrer noopener\">Performing large-scale batch operations<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/analytics-lens\/batch-data-processing.html\" target=\"_blank\" rel=\"noreferrer noopener\">Batch data processing<\/a>)<\/li><li>Determine the appropriate storage solution based on access patterns (e.g., sequential vs. random access, continuous usage vs.ad hoc)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/optimizing-performance.html\" target=\"_blank\" rel=\"noreferrer noopener\">optimizing Amazon S3 performance<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/s3\/faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon S3 FAQs<\/a>)<\/li><li>Determine the appropriate storage solution to address change characteristics of data (appendonly changes vs. updates)<\/li><li>Determine the appropriate storage solution for long-term storage vs. transient storage&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/Storage.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/storage-class-intro.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using Amazon S3 storage classes<\/a>)<\/li><li>Determine the appropriate storage solution for structured vs. semi-structured data&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/super-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Ingesting and querying semistructured data in Amazon Redshift<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/building-data-lakes\/building-data-lake-aws.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage Best Practices for Data and Analytics Applications<\/a>)<\/li><li>Determine the appropriate storage solution to address query latency requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/building-data-lakes\/in-place-querying.html\" target=\"_blank\" rel=\"noreferrer noopener\">In-place querying<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/optimizing-performance-guidelines.html\" target=\"_blank\" rel=\"noreferrer noopener\">Performance Guidelines for Amazon S3<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/performance-efficiency-pillar\/storage-architecture-selection.html\" target=\"_blank\" rel=\"noreferrer noopener\">Storage Architecture Selection<\/a>)<\/li><\/ul>\n\n\n\n<p>2.3 Select appropriate data layout, schema, structure, and format<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine appropriate mechanisms to address schema evolution requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/handling-schema-updates-chapter.html\" target=\"_blank\" rel=\"noreferrer noopener\">Handling schema updates<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/database\/best-practices-for-securing-sensitive-data-in-aws-data-stores\/\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for securing sensitive data in AWS data stores<\/a>)<\/li><li>Select the storage format for the task&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/task_definition_parameters.html\" target=\"_blank\" rel=\"noreferrer noopener\">Task definition parameters<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/dms\/latest\/userguide\/CHAP_Tasks.CustomizingTasks.TaskSettings.html\" target=\"_blank\" rel=\"noreferrer noopener\">Specifying task settings for AWS Database Migration Service tasks<\/a>)<\/li><li>Select the compression\/encoding strategies for the chosen storage format&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/Examples__compression_encodings_in_CREATE_TABLE_statements.html\" target=\"_blank\" rel=\"noreferrer noopener\">Choosing compression encodings for the CUSTOMER table<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/c_Compression_encodings.html\" target=\"_blank\" rel=\"noreferrer noopener\">Compression encodings<\/a>)<\/li><li>Select the data sorting and distribution strategies and the storage layout for efficient data access&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/amazondynamodb\/latest\/developerguide\/bp-sort-keys.html\" target=\"_blank\" rel=\"noreferrer noopener\">Best practices for using sort keys to organize data<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/redshift\/latest\/dg\/t_Distributing_data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Working with data distribution styles<\/a>)<\/li><li>Explain the cost and performance implications of different data distributions, layouts, and formats (e.g., size and number of files)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/optimizing-performance.html\" target=\"_blank\" rel=\"noreferrer noopener\">optimizing Amazon S3 performance<\/a>)<\/li><li>Implement data formatting and partitioning schemes for data-optimized analysis&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/partitions.html\" target=\"_blank\" rel=\"noreferrer noopener\">Partitioning data in Athena<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/amazondynamodb\/latest\/developerguide\/HowItWorks.Partitions.html\" target=\"_blank\" rel=\"noreferrer noopener\">Partitions and data distribution<\/a>)<\/li><\/ul>\n\n\n\n<p>2.4 Define data lifecycle based on usage patterns and business requirements<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine the strategy to address data lifecycle requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/snapshot-lifecycle.html\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon Data Lifecycle Manager<\/a>)<\/li><li>Apply the lifecycle and data retention policies to different storage solutions&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/how-to-set-lifecycle-configuration-intro.html\" target=\"_blank\" rel=\"noreferrer noopener\">Setting lifecycle configuration on a bucket<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/object-lifecycle-mgmt.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing your storage lifecycle<\/a>)<\/li><\/ul>\n\n\n\n<p>2.5 Determine the appropriate system for cataloging data and managing metadata<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Evaluate mechanisms for discovery of new and updated data sources&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/migrationhub\/latest\/ug\/gs-new-user-discovery.html\" target=\"_blank\" rel=\"noreferrer noopener\">Discovering on-premises resources using AWS discovery tools<\/a>)<\/li><li>Evaluate mechanisms for creating and updating data catalogs and metadata&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/building-data-lakes\/data-cataloging.html\" target=\"_blank\" rel=\"noreferrer noopener\">Catalog and search<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/best-practices-building-data-lake-for-games\/data-cataloging.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data cataloging<\/a>)<\/li><li>Explain mechanisms for searching and retrieving data catalogs and metadata&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/athena\/latest\/ug\/understanding-tables-databases-and-the-data-catalog.html\" target=\"_blank\" rel=\"noreferrer noopener\">Understanding tables, databases, and the Data Catalog<\/a>)<\/li><li>Explain mechanisms for tagging and classifying data&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/security-pillar\/data-classification.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Classification<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/data-classification\/data-classification-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data classification overview<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Domain 3: Processing<\/strong><\/h5>\n\n\n\n<p>3.1 Determine appropriate data processing solution requirements<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Understand data preparation and usage requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/what-is\/data-preparation\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Preparation<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/preparing-data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Preparing data in Amazon QuickSight<\/a>)<\/li><li>Understand different types of data sources and targets&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/dms\/latest\/userguide\/CHAP_Target.html\" target=\"_blank\" rel=\"noreferrer noopener\">Targets for data migration<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/dms\/latest\/userguide\/CHAP_Source.html\" target=\"_blank\" rel=\"noreferrer noopener\">Sources for data migration<\/a>)<\/li><li>Evaluate performance and orchestration needs&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/wa.aws.amazon.com\/wellarchitected\/2020-07-02T19-33-23\/wat.pillar.performance.en.html\" target=\"_blank\" rel=\"noreferrer noopener\">Performance Efficiency<\/a>)<\/li><li>Evaluate appropriate services for cost, scalability, and availability&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/real-time-communication-on-aws\/high-availability-and-scalability-on-aws.html\" target=\"_blank\" rel=\"noreferrer noopener\">High availability and scalability on AWS<\/a>)<\/li><\/ul>\n\n\n\n<p>3.2 Design a solution for transforming and preparing data for analysis<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Apply appropriate ETL\/ELT techniques for batch and real-time workloads&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/big-data\/etl-and-elt-design-patterns-for-lake-house-architecture-using-amazon-redshift-part-1\/\" target=\"_blank\" rel=\"noreferrer noopener\">ETL and ELT design patterns for lake house architecture<\/a>)<\/li><li>Implement failover, scaling, and replication mechanisms&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/disaster-recovery-workloads-on-aws\/disaster-recovery-options-in-the-cloud.html\" target=\"_blank\" rel=\"noreferrer noopener\">Disaster recovery options in the cloud<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/UserGuide\/USER_ReadRepl.html\" target=\"_blank\" rel=\"noreferrer noopener\">Working with read replicas<\/a>)<\/li><li>Implement techniques to address concurrency needs&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/configuration-concurrency.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing Lambda reserved concurrency<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/provisioned-concurrency.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing Lambda provisioned concurrency<\/a>)<\/li><li>Implement techniques to improve cost-optimization efficiencies&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/wa.aws.amazon.com\/wellarchitected\/2020-07-02T19-33-23\/wat.pillar.costOptimization.en.html\" target=\"_blank\" rel=\"noreferrer noopener\">Cost Optimization<\/a>)<\/li><li>Apply orchestration workflows&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/step-functions\/latest\/dg\/welcome.html\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Step Functions<\/a>)<\/li><li>Aggregate and enrich data for downstream consumption&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/big-data\/joining-and-enriching-streaming-data-on-amazon-kinesis\/\" target=\"_blank\" rel=\"noreferrer noopener\">Joining and Enriching Streaming Data on Amazon Kinesis<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/architecture\/designing-a-high-volume-streaming-data-ingestion-platform-natively-on-aws\/\" target=\"_blank\" rel=\"noreferrer noopener\">Designing a High-volume Streaming Data Ingestion Platform Natively on AWS<\/a>)<\/li><\/ul>\n\n\n\n<p>3.3 Automate and operationalize data processing solutions<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Implement automated techniques for repeatable workflows<\/li><li>Apply methods to identify and recover from processing failures&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/framework\/a-failure-management.html\" target=\"_blank\" rel=\"noreferrer noopener\">Failure Management<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AWSEC2\/latest\/UserGuide\/ec2-instance-recover.html\" target=\"_blank\" rel=\"noreferrer noopener\">Recover your instance<\/a>)<\/li><li>Deploy logging and monitoring solutions to enable auditing and traceability&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/security-overview-amazon-api-gateway\/enable-auditing-and-traceability.html\" target=\"_blank\" rel=\"noreferrer noopener\">Enable Auditing and Traceability<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Domain 4: Analysis and Visualization<\/strong><\/h5>\n\n\n\n<p>4.1 Determine the operational characteristics of the analysis and visualization solution<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine costs associated with analysis and visualization&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/cost-management\/latest\/userguide\/ce-what-is.html\" target=\"_blank\" rel=\"noreferrer noopener\">Analyzing your costs with AWS Cost Explorer<\/a>)<\/li><li>Determine scalability associated with analysis&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/autoscaling\/ec2\/userguide\/ec2-auto-scaling-predictive-scaling.html\" target=\"_blank\" rel=\"noreferrer noopener\">Predictive scaling for Amazon EC2 Auto Scaling<\/a>)<\/li><li>Determine failover recovery and fault tolerance within the RPO\/RTO&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/reliability-pillar\/plan-for-disaster-recovery-dr.html\" target=\"_blank\" rel=\"noreferrer noopener\">Plan for Disaster Recovery (DR)<\/a>)<\/li><li>Determine the availability characteristics of an analysis tool&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/analytics.html\" target=\"_blank\" rel=\"noreferrer noopener\">Analytics<\/a>)<\/li><li>Evaluate dynamic, interactive, and static presentations of data&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/data-visualization\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Visualization<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/iot-lens-checklist\/best-practice-26-1.html\" target=\"_blank\" rel=\"noreferrer noopener\">Use static and dynamic device hierarchies<\/a>)<\/li><li>Translate performance requirements to an appropriate visualization approach (pre-compute and consume static data vs. consume dynamic data)<\/li><\/ul>\n\n\n\n<p>4.2 Select the appropriate data analysis solution for a given scenario<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Evaluate and compare analysis solutions&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/personalize\/latest\/dg\/working-with-training-metrics.html\" target=\"_blank\" rel=\"noreferrer noopener\">Evaluating a solution version with metrics<\/a>)<\/li><li>Select the right type of analysis based on the customer use case (streaming, interactive, collaborative, operational)<\/li><\/ul>\n\n\n\n<p>4.3 Select the appropriate data visualization solution for a given scenario<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Evaluate output capabilities for a given analysis solution (metrics, KPIs, tabular, API)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/kpi.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using KPIs<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonCloudWatch\/latest\/monitoring\/working_with_metrics.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using Amazon CloudWatch metrics<\/a>)<\/li><li>Choose the appropriate method for data delivery (e.g., web, mobile, email, collaborative notebooks)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/dive-deep-into-amazon-sagemaker-studio-notebook-architecture\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon SageMaker Studio Notebooks architecture<\/a>, Ensure&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/ensure-efficient-compute-resources-on-amazon-sagemaker\/\" target=\"_blank\" rel=\"noreferrer noopener\">efficient compute resources on Amazon SageMaker<\/a>)<\/li><li>Choose and define the appropriate data refresh schedule&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/refreshing-imported-data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Refreshing SPICE data<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/refreshing-data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Refreshing data in Amazon QuickSight<\/a>)<\/li><li>Choose appropriate tools for different data freshness requirements (e.g., Amazon Elasticsearch Service vs. Amazon QuickSight vs. Amazon EMR notebooks)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/big-data-analytics-options\/amazon-emr.html\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon EMR<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/amazon-emr-hardware\/welcome.html\" target=\"_blank\" rel=\"noreferrer noopener\">Choosing the hardware for your Amazon EMR cluster<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/big-data\/build-an-automatic-data-profiling-and-reporting-solution-with-amazon-emr-aws-glue-and-amazon-quicksight\/\" target=\"_blank\" rel=\"noreferrer noopener\">Build an automatic data profiling and reporting solution<\/a>)<\/li><li>Understand the capabilities of visualization tools for interactive use cases (e.g., drill down, drill through, and pivot)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/adding-drill-downs.html\" target=\"_blank\" rel=\"noreferrer noopener\">Adding drill-downs to visual data in Amazon QuickSight<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/quicksight\/latest\/user\/pivot-table.html\" target=\"_blank\" rel=\"noreferrer noopener\">Using pivot tables<\/a>)<\/li><li>Implement the appropriate data access mechanism (e.g., in memory vs. direct access)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/security-best-practices.html\" target=\"_blank\" rel=\"noreferrer noopener\">Security Best Practices for Amazon S3<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/s3-access-control.html\" target=\"_blank\" rel=\"noreferrer noopener\">Identity and access management in Amazon S3<\/a>)<\/li><li>Implement an integrated solution from multiple heterogeneous data sources&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/sagemaker\/latest\/dg\/feature-store-ingest-data.html\" target=\"_blank\" rel=\"noreferrer noopener\">Data Sources and Ingestion<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Domain 5: Security<\/strong><\/h5>\n\n\n\n<p>5.1 Select appropriate authentication and authorization mechanisms<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Implement appropriate authentication methods (e.g., federated access, SSO, IAM)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/singlesignon\/latest\/userguide\/iam-auth-access.html\" target=\"_blank\" rel=\"noreferrer noopener\">Identity and access management for IAM Identity Center<\/a>)<\/li><li>Implement appropriate authorization methods (e.g., policies, ACL, table\/column level permissions)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/glue\/latest\/dg\/access-control-overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">Managing access permissions for AWS Glue resources<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/IAM\/latest\/UserGuide\/access_policies.html\" target=\"_blank\" rel=\"noreferrer noopener\">Policies and permissions in IAM<\/a>)<\/li><li>Implement appropriate access control mechanisms (e.g., security groups, role-based control)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/prescriptive-guidance\/latest\/security-best-practices\/access-control.html\" target=\"_blank\" rel=\"noreferrer noopener\">Implement access control mechanisms<\/a>)<\/li><\/ul>\n\n\n\n<p>5.2 Apply data protection and encryption techniques<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine data encryption and masking needs&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/wellarchitected\/latest\/security-pillar\/protecting-data-at-rest.html\" target=\"_blank\" rel=\"noreferrer noopener\">Protecting Data at Rest<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/UsingClientSideEncryption.html\" target=\"_blank\" rel=\"noreferrer noopener\">Protecting data using client-side encryption<\/a>)<\/li><li>Apply different encryption approaches (server-side encryption, client-side encryption, AWS KMS, AWS CloudHSM)&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/kms\/faqs\/\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Key Management Service FAQs<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/UsingKMSEncryption.html\" target=\"_blank\" rel=\"noreferrer noopener\">Protecting data using server-side encryption<\/a>,&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/crypto\/latest\/userguide\/cryptography-concepts.html\" target=\"_blank\" rel=\"noreferrer noopener\">Cryptography concepts<\/a>)<\/li><li>Implement at-rest and in-transit encryption mechanisms&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/logical-separation\/encrypting-data-at-rest-and--in-transit.html\" target=\"_blank\" rel=\"noreferrer noopener\">Encrypting Data-at-Rest and -in-Transit<\/a>)<\/li><li>Implement data obfuscation and masking techniques&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/database\/data-masking-using-aws-dms\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data masking using AWS DMS<\/a>,&nbsp;<a href=\"https:\/\/aws.amazon.com\/blogs\/big-data\/create-a-secure-data-lake-by-masking-encrypting-data-and-enabling-fine-grained-access-with-aws-lake-formation\/\" target=\"_blank\" rel=\"noreferrer noopener\">Create a secure data lake by masking<\/a>)<\/li><li>Apply basic principles of key rotation and secrets management&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/secretsmanager\/latest\/userguide\/rotating-secrets.html\" target=\"_blank\" rel=\"noreferrer noopener\">Rotate AWS Secrets Manager secrets<\/a>)<\/li><\/ul>\n\n\n\n<p>5.3 Apply data governance and compliance controls<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Determine data governance and compliance requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/management-governance.html\" target=\"_blank\" rel=\"noreferrer noopener\">Management and Governance<\/a>)<\/li><li>Understand and configure access and audit logging across data analytics services&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/opensearch-service\/latest\/developerguide\/audit-logs.html\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring audit logs in Amazon OpenSearch Service<\/a>)<\/li><li>Implement appropriate controls to meet compliance requirements&nbsp;<strong>(AWS Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.aws.amazon.com\/whitepapers\/latest\/aws-overview\/security-and-compliance.html\" target=\"_blank\" rel=\"noreferrer noopener\">Security and compliance<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Now, let&#8217;s have a look at some resources!<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AWS Exam Guide&nbsp;<\/strong><\/h3>\n\n\n\n<p>Exam Guide for the Exploring AWS learning route is designed for people who work in data analytics roles. Primarily for individuals who wish to execute an AWS Certified Data Analytics Specialty position. Additionally, this can be used as a resource for anyone with beginner-level experience who wants to learn how to design, create, protect, and manage analytics solutions that give insight from data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Testpreptraining Online Tutorials<\/strong><\/h3>\n\n\n\n<p>The AWS Certified Data Analytics Specialty (DAS-C01) Online Tutorial from Testprep enriches knowledge and offers an in-depth understanding of the test domains. They also go through exam specifics and policies. As a result, learning through online tutorials will improve preparation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Online Course: AWS Certified Data Analytics&nbsp;<\/strong><\/h3>\n\n\n\n<p>Online Course: AWS Certified Data Analytics, One of the most interactive ways to become exam-qualified, is through online classes. Experts in the field create them. The training will also give the individual a strong foundation in exam topics and ideas. Additionally, the candidate is guided through the learning curve in this online course.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Practice tests<\/strong><\/h3>\n\n\n\n<p>The practice exam will assist the applicants in identifying their areas of weakness so they can improve them. These days, the candidate can select from a variety of practice exams that are available online. Additionally, we at Testprep Training provide <a href=\"https:\/\/www.testpreptraining.ai\/aws-certified-data-analytics-specialty-free-practice-test\" target=\"_blank\" rel=\"noreferrer noopener\">practice exams<\/a> that are highly beneficial for the preparation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Will the exam be worth investing time and effort in?<\/strong><\/h3>\n\n\n\n<p>AWS Data Analytics is worthwhile for the majority of data-focused IT workers. It&#8217;s not worth the time and effort to invest if you don&#8217;t work with data models or have to create or implement AWS services around big data. But it&#8217;s a valuable credential for advanced professionals who need to know more about organizing data analysis solutions and the numerous data analytic processes involved.<\/p>\n\n\n\n<p><em>AWS Data Analytics is a fantastic resource for developing your career and establishing your abilities. Consider using AWS Data Analytics if you have experience in data analysis and want a way to document everything you know or show your company how valuable you are. Although it&#8217;s a difficult certification to obtain, doing so shows that you have a thorough understanding of AWS tools and services and the range of data analysis.<\/em><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https:\/\/www.testpreptraining.ai\/aws-certified-data-analytics-specialty-free-practice-test\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/www.testpreptraining.ai\/blog\/wp-content\/uploads\/2021\/10\/AWS-Certified-Data-Analytics-Specialty-Exam-free-practice-test-1.png\" alt=\"AWS Certified Data Analytics Specialty Exam free practice test\"\/><\/a><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The AWS Certified Data Analytics Specialty Exam is designed to validate a candidate&#8217;s skills and expertise in using AWS services for designing and implementing big data solutions. The exam is considered to be challenging and requires a solid understanding of the AWS ecosystem, big data technologies, and data analytics concepts. The exam consists of 65&#8230;<\/p>\n","protected":false},"author":7,"featured_media":28765,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[9,3394,4928,3395],"class_list":["post-28760","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws","tag-aws-certification","tag-aws-certified-data-analytics-specialty-exam-2","tag-aws-certified-data-analytics-specialty-exam-free-test","tag-how-to-pass-the-aws-certified-data-analytics-specialty-exam"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How hard is the AWS Certified Data Analytics Specialty Exam? - Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.testpreptraining.ai\/blog\/how-hard-is-the-aws-certified-data-analytics-specialty-exam\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How hard is the AWS Certified Data Analytics Specialty Exam? - Blog\" \/>\n<meta property=\"og:description\" content=\"The AWS Certified Data Analytics Specialty Exam is designed to validate a candidate&#8217;s skills and expertise in using AWS services for designing and implementing big data solutions. 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