{"id":20346,"date":"2022-01-09T11:00:00","date_gmt":"2022-01-09T05:30:00","guid":{"rendered":"https:\/\/www.testpreptraining.com\/blog\/?p=20346"},"modified":"2022-01-10T12:45:35","modified_gmt":"2022-01-10T07:15:35","slug":"how-to-become-a-microsoft-azure-data-engineer","status":"publish","type":"post","link":"https:\/\/www.testpreptraining.ai\/blog\/how-to-become-a-microsoft-azure-data-engineer\/","title":{"rendered":"How to become a Microsoft Azure Data Engineer?"},"content":{"rendered":"\n<p>Organizations constantly hire certified Azure Data Engineers to convert unstructured data into smart structured data. Moreover, collecting appropriate and relevant data not only help businesses drive better decisions but also give a better future perspective. Furthermore, the proper use of information also supports improvement in customer service. This has been one of the causes for a sudden rise in demands for data engineers and data scientists. In this blog, you will get a step-by-step guide to how you can become a Microsoft Certified Azure Data Engineer. Also, we provide an expert preparation guide for the Azure Exam DP-203: Data Engineering on Microsoft Azure with the related training and supervision.<\/p>\n\n\n\n<p>The&nbsp;Azure Data Engineer certification authenticates your understanding to combine, transform, and combine data from multiple systems into structures that are proper for building analytics solutions.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Azure Data Engineer Roles and Responsibilities <\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>An applicant for the Azure Data Engineer certification must have subject matter expertise combining, transforming, and combining data from different structured and unstructured data arrangements into arrangements that are proper for establishing analytics solutions.<\/li><li>Accountabilities for this role incorporate serving stakeholders understand the data through exploration, building and maintaining secure and compliant data processing pipelines by using different tools and methods. The expert practices many Azure data services and linguistics to store and give cleansed and improved datasets for the analysis.<\/li><li>An Azure Data Engineer also supports the guarantee that data pipelines and data repositories are high-performing, productive, organized, and secure, given a particular set of business specifications and restraints. This professional works with unanticipated problems quickly and reduces data loss. An Azure Data Engineer also outlines, implements, observes, and optimizes data principles to satisfy the data pipeline inadequacies.<\/li><\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>Required Knowledge <\/strong><\/h6>\n\n\n\n<p>A candidate for this credential must have a firm knowledge of data processing linguistics, such as Python,  SQL, or Scala, and they require understanding parallel processing and data, architecture models.<\/p>\n\n\n\n<p><em>let&#8217;s jump to the course outline:<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>DP-203 Exam: Course Structure <\/strong><\/h3>\n\n\n\n<p>Microsoft presents a course outline for the exam DP-203 that comprises the significant sections for gaining more real knowledge during the training time. The topics are:<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Design and Implement Data Storage<\/strong><\/h5>\n\n\n\n<p><em>Designing a data storage structure<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Designing an Azure Data Lake solution (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/blobs\/data-lake-storage-introduction\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Data Lake Storage Gen2<\/a>)<\/li><li>Suggesting the file types for storage (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/common\/storage-introduction#example-scenarios\" target=\"_blank\" rel=\"noreferrer noopener\">Example scenarios<\/a>)<\/li><li>Recommending file types for the analytical queries (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-explorer\/data-lake-query-data\" target=\"_blank\" rel=\"noreferrer noopener\">Query data in Azure Data Lake using Azure Data Explorer<\/a>)<\/li><li>Efficient querying (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/tables\/table-storage-design-for-query\" target=\"_blank\" rel=\"noreferrer noopener\">Designing for querying<\/a>)<\/li><li>Folder structure that shows the levels of data transformation (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/connector-azure-data-lake-storage\" target=\"_blank\" rel=\"noreferrer noopener\">Copying and transforming the data in Azure Data Lake Storage Gen2<\/a>)<\/li><li>Designing a distribution plan (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql-data-warehouse\/sql-data-warehouse-tables-distribute\" target=\"_blank\" rel=\"noreferrer noopener\">Designing distributed tables<\/a>)<\/li><li>Data archiving solution<\/li><\/ul>\n\n\n\n<p><em>Designing a partition strategy<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Partition plan for the files<\/li><li>A partition plan for analytical workloads <\/li><li>Partition strategy for efficiency\/performance (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/best-practices\/data-partitioning#designing-partitions-for-query-performance\" target=\"_blank\" rel=\"noreferrer noopener\">Designing the partitions for query performance<\/a>)<\/li><li>Making a partition strategy for the Azure Synapse Analytics (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql-data-warehouse\/sql-data-warehouse-tables-partition\" target=\"_blank\" rel=\"noreferrer noopener\">Partitioning tables<\/a>)<\/li><li>Identifying when partitioning is required in the Azure Data Lake Storage Gen2<\/li><\/ul>\n\n\n\n<p><em>Designing the serving layer<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Star schemas (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/power-bi\/guidance\/star-schema#star-schema-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Star schema<\/a>)<\/li><li>Making slowly changing dimensions<\/li><li>Making a dimensional hierarchy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/analysis-services\/tabular-models\/hierarchies-ssas-tabular?view=asallproducts-allversions\" target=\"_blank\" rel=\"noreferrer noopener\">Hierarchies in tabular models<\/a>)<\/li><li>Solution for temporal data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/temporal-tables\" target=\"_blank\" rel=\"noreferrer noopener\">Temporal tables in the Azure SQL Database and Azure SQL Managed Instance<\/a>)<\/li><li>Incremental loading (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/tutorial-incremental-copy-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Incrementally load data from a source data store to a destination data store<\/a>,&nbsp;<\/li><li>Analytical stores (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/technology-choices\/analytical-data-stores\" target=\"_blank\" rel=\"noreferrer noopener\">Selecting an analytical data store in the Azure<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/cosmos-db\/analytical-store-introduction\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Cosmos DB analytical store<\/a>)<\/li><li>Metastores in the Azure Synapse Analytics and the Databricks (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/metadata\/table\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Synapse Analytics shared metadata tables<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Implementing the physical data storage structures<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Compression (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/relational-databases\/data-compression\/data-compression?view=sql-server-ver15\" target=\"_blank\" rel=\"noreferrer noopener\">Data compression <\/a>)<\/li><li>Partitioning (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/best-practices\/data-partitioning-strategies\" target=\"_blank\" rel=\"noreferrer noopener\">Data partitioning strategies<\/a>)<\/li><li>Implementing the sharding (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sharding\" target=\"_blank\" rel=\"noreferrer noopener\">What is Sharding pattern<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/elastic-scale-add-a-shard\" target=\"_blank\" rel=\"noreferrer noopener\">Adding a shard using Elastic Database tools<\/a>)<\/li><li>Executing different table geometries with the Azure Synapse Analytics pools (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql-data-warehouse\/sql-data-warehouse-tables-data-types\" target=\"_blank\" rel=\"noreferrer noopener\">Table data types for dedicated SQL pool (formerly SQL DW) in the Azure Synapse Analytics<\/a>)<\/li><li>Data redundancy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/common\/storage-redundancy\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Storage redundancy<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/common\/redundancy-migration?tabs=portal\" target=\"_blank\" rel=\"noreferrer noopener\">Method of how storage account is replicated<\/a>)<\/li><li>Distributions (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql\/overview-architecture#distributions\" target=\"_blank\" rel=\"noreferrer noopener\">Distributions <\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/t-sql\/statements\/create-table-azure-sql-data-warehouse?view=aps-pdw-2016-au7#examples-for-table-distribution\" target=\"_blank\" rel=\"noreferrer noopener\">Table distribution Examples<\/a>)<\/li><li>Data archiving (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/solution-ideas\/articles\/backup-archive-on-premises\" target=\"_blank\" rel=\"noreferrer noopener\">Archive on-premises data to the cloud<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Implementing logical data structures<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Building a data solution <\/li><li>Building a slowly changing dimension and a logical folder structure<\/li><li>External tables (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql\/develop-tables-external-tables?tabs=sql-pool\" target=\"_blank\" rel=\"noreferrer noopener\">Using the external tables with the Synapse SQL<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-explorer\/kusto\/management\/external-tables-azurestorage-azuredatalake\" target=\"_blank\" rel=\"noreferrer noopener\">Creating and alter the external tables in Azure Storage<\/a>)<\/li><li>Implementing file and folder structures for effective querying and data pruning <\/li><\/ul>\n\n\n\n<p><em>Implementing the serving layer<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Delivering the data in a relational star schema<\/li><li>Delivering data in the Parquet files (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/format-parquet\" target=\"_blank\" rel=\"noreferrer noopener\">Parquet format in the Azure Data Factory<\/a><\/li><li>Metadata (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/copy-activity-preserve-metadata\" target=\"_blank\" rel=\"noreferrer noopener\">Preserve metadata and ACLs using copy activity in Azure Data Factory<\/a>)<\/li><li>Implementing a dimensional hierarchy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/analysis-services\/tabular-models\/create-and-manage-hierarchies-ssas-tabular?view=asallproducts-allversions\" target=\"_blank\" rel=\"noreferrer noopener\">Creating and managing the hierarchies<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Design and Develop Data Processing<\/strong><\/h5>\n\n\n\n<p><em>Ingesting and transforming the data<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Transforming data by using the Apache Spark (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/tutorial-transform-data-spark-portal\" target=\"_blank\" rel=\"noreferrer noopener\">Transforming data in the cloud by using a Spark activity<\/a>)<\/li><li>Data by using the Transact-SQL (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/apply-sql-transformation\" target=\"_blank\" rel=\"noreferrer noopener\">SQL Transformation<\/a>)<\/li><li>Transforming data by using Data Factory (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/transform-data\" target=\"_blank\" rel=\"noreferrer noopener\">Transforming data in Azure Data Factory<\/a>)<\/li><li>Cleansing the data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/data-quality-services\/data-cleansing?view=sql-server-ver15\" target=\"_blank\" rel=\"noreferrer noopener\">Data Cleansing<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/clean-missing-data\" target=\"_blank\" rel=\"noreferrer noopener\">Clean Missing Data module<\/a>)<\/li><li>Splitting data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/studio-module-reference\/split-data\" target=\"_blank\" rel=\"noreferrer noopener\">Split Data Overview<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/split-data\" target=\"_blank\" rel=\"noreferrer noopener\">Split Data module<\/a>)<\/li><li>shred JSON<\/li><li>Encoding and decoding the data<\/li><li>Error handling for the transformation (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/how-to-data-flow-error-rows\" target=\"_blank\" rel=\"noreferrer noopener\">Handling SQL truncation error rows in the Data Factory<\/a><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/data-flow-troubleshoot-guide\" target=\"_blank\" rel=\"noreferrer noopener\"> )<\/a><\/li><li>Normalizing and denormalizing the values (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/normalize-data\" target=\"_blank\" rel=\"noreferrer noopener\">Normalizing the Data module<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/studio-module-reference\/normalize-data\" target=\"_blank\" rel=\"noreferrer noopener\">What is Normalize Data?<\/a>)<\/li><li>Transform data by using the Scala (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/scenarios\/databricks-extract-load-sql-data-warehouse\" target=\"_blank\" rel=\"noreferrer noopener\">Extracting, transforming, and loading data by using Azure Databricks<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Designing and developing a batch processing solution<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Developing the batch processing solutions by using the Data Factory, Spark, Data Lake, PolyBase, Azure Synapse Pipelines, and Azure Databricks (<strong>Microsoft Documentation:<\/strong> <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/big-data\/batch-processing\" target=\"_blank\" rel=\"noreferrer noopener\">Batch processing<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/technology-choices\/batch-processing\" target=\"_blank\" rel=\"noreferrer noopener\">Choosing a batch processing technology in Azure<\/a>)<\/li><li>Making data pipelines (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/quickstart-create-data-factory-portal#create-a-pipeline\" target=\"_blank\" rel=\"noreferrer noopener\">Creating a pipeline<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/devops\/pipelines\/apps\/cd\/azure\/build-data-pipeline?view=azure-devops\" target=\"_blank\" rel=\"noreferrer noopener\">Building a data pipeline<\/a>)<\/li><li>Implementing incremental data loads (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/tutorial-incremental-copy-portal\" target=\"_blank\" rel=\"noreferrer noopener\">Loading data from Azure SQL Database to the Azure Blob storage<\/a>)<\/li><li>Developing the slowly changing dimensions<\/li><li>Security and compliance needs (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/security-baseline\" target=\"_blank\" rel=\"noreferrer noopener\">Azure security baseline for the Batch<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/security-controls-policy\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Policy Regulatory Compliance controls<\/a>)<\/li><li>Scaling resources (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/batch-automatic-scaling\" target=\"_blank\" rel=\"noreferrer noopener\">Creating an automatic formula for scaling the compute nodes<\/a>)<\/li><li>Batch size <\/li><li>Designing and making tests for data pipelines<\/li><li>Handling the duplicate data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-explorer\/dealing-with-duplicates\" target=\"_blank\" rel=\"noreferrer noopener\">Handling duplicate data in the Azure Data Explorer<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/remove-duplicate-rows\" target=\"_blank\" rel=\"noreferrer noopener\">Eliminating the Duplicate Rows module<\/a>)<\/li><li>Missing data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/algorithm-module-reference\/clean-missing-data\" target=\"_blank\" rel=\"noreferrer noopener\">Missing Data <\/a>)<\/li><li>Late-arriving data and Upserting the data<\/li><li>Regressing to a state (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/batch-get-resource-counts\" target=\"_blank\" rel=\"noreferrer noopener\">Observing the Batch solutions by counting duties and nodes by state<\/a>)<\/li><li>Designing the exception handling (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/error-handling\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Batch error handling and detection<\/a>)<\/li><li>Batch retention (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/best-practices#manage-task-lifetime\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Batch best practices<\/a>)<\/li><li>Designing a batch processing solution (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/big-data\/batch-processing\" target=\"_blank\" rel=\"noreferrer noopener\">Batch processing<\/a>)<\/li><li>Debugging Spark jobs by utilizing the Spark UI (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/hdinsight\/spark\/apache-spark-job-debugging#track-an-application-in-the-spark-ui\" target=\"_blank\" rel=\"noreferrer noopener\">Debug Apache Spark jobs running on Azure HDInsight<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Designing and developing a stream processing solution<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Developing a stream processing solution by utilizing Stream Analytics, and Azure Event Hubs (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/reference-architectures\/data\/stream-processing-databricks\" target=\"_blank\" rel=\"noreferrer noopener\">Stream processing with Azure Databricks<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/scenarios\/databricks-stream-from-eventhubs\" target=\"_blank\" rel=\"noreferrer noopener\">Stream data into Azure Databricks using the Event Hubs<\/a>)<\/li><li>Processing data by using the Spark structured streaming (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/spark\/latest\/structured-streaming\/\" target=\"_blank\" rel=\"noreferrer noopener\">Structured Streaming?<\/a>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/hdinsight\/spark\/apache-spark-structured-streaming-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Apache Spark Structured Streaming<\/a>)<\/li><li>Monitoring for performance and functional regressions (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-monitoring\" target=\"_blank\" rel=\"noreferrer noopener\">Stream Analytics job monitoring and method to monitor queries<\/a>)<\/li><li>Designing and creating the windowed aggregates (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-window-functions\" target=\"_blank\" rel=\"noreferrer noopener\">Streaming Analytics windowing functions<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/stream-analytics-query\/windowing-azure-stream-analytics\" target=\"_blank\" rel=\"noreferrer noopener\">Windowing functions<\/a>)<\/li><li>Handling the schema drift (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/concepts-data-flow-schema-drift\" target=\"_blank\" rel=\"noreferrer noopener\">Schema drift in mapping the data flow<\/a>)<\/li><li>Process time-series data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-time-handling\" target=\"_blank\" rel=\"noreferrer noopener\">Time handling in the Azure Stream Analytics<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/scenarios\/time-series\" target=\"_blank\" rel=\"noreferrer noopener\">What is Time series solutions?<\/a>)<\/li><li>Processing across partitions <\/li><li>Configuring checkpoints\/watermarking while processing (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-concepts-checkpoint-replay\" target=\"_blank\" rel=\"noreferrer noopener\">Checkpoint and replay concepts<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-time-handling#illustrated-example-of-watermarks\" target=\"_blank\" rel=\"noreferrer noopener\">Example of watermarks<\/a>)<\/li><li>Making tests for the data pipelines (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-test-query\" target=\"_blank\" rel=\"noreferrer noopener\">Test an Azure Stream Analytics job<\/a>)<\/li><li>Optimizing pipelines for analytical or transactional purposes (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/stream-analytics-parallelization\" target=\"_blank\" rel=\"noreferrer noopener\">Query parallelization in Azure Stream Analytics<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/stream-analytics\/repartition\" target=\"_blank\" rel=\"noreferrer noopener\">Optimizing processing with Azure Stream Analytics using repartitioning<\/a>)<\/li><li>Handling interruptions <\/li><li>Designing and configuring the exception handling <\/li><li>Upserting the data <\/li><li>Replaying archived stream data <\/li><li>Designing a stream processing solution (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/reference-architectures\/data\/stream-processing-stream-analytics\" target=\"_blank\" rel=\"noreferrer noopener\">Stream processing<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Manage batches and pipelines<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Triggering batches (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/batch\/tutorial-batch-functions\" target=\"_blank\" rel=\"noreferrer noopener\">Triggering a Batch job using Azure Functions<\/a>)<\/li><li>Handling the failed batch loads <\/li><li>Validating the batch loads<\/li><li>Data pipelines in the Data Factory\/Synapse Pipelines (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/concepts-data-flow-manage-graph\" target=\"_blank\" rel=\"noreferrer noopener\">Managing the mapping data flow graph<\/a>)<\/li><li>Scheduling the data pipelines in the Data Factory\/Synapse Pipelines (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/how-to-create-schedule-trigger\" target=\"_blank\" rel=\"noreferrer noopener\">Creating a trigger<\/a>)<\/li><li>Implementing version control for the pipeline artifacts (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/source-control\" target=\"_blank\" rel=\"noreferrer noopener\">Source control in the Azure Data Factory<\/a>)<\/li><li>Managing the Spark jobs in a pipeline (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/v1\/data-factory-spark#monitor-a-pipeline\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring a pipeline<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Designing and Implementing Data Security<\/strong><\/h5>\n\n\n\n<p><em>Designing security for the data policies and standards<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Data encryption for the data at rest and in transit (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/security\/fundamentals\/data-encryption-best-practices#protect-data-in-transit\" target=\"_blank\" rel=\"noreferrer noopener\">Data in transit<\/a>)<\/li><li>Designing a data auditing (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/auditing-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Auditing for the Azure SQL Database and the Azure Synapse Analytics<\/a>)<\/li><li>Data masking (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/dynamic-data-masking-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Dynamic data masking<\/a>)<\/li><li>Data privacy<\/li><li>Data retention policy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/time-series-insights\/time-series-insights-concepts-retention\" target=\"_blank\" rel=\"noreferrer noopener\">Understanding the data retention in the Azure Time Series Insights Gen1<\/a>)<\/li><li>Purging data based on business requirements (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-explorer\/data-purge-portal\" target=\"_blank\" rel=\"noreferrer noopener\">Enable data purge<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-explorer\/kusto\/concepts\/data-purge\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Data purge<\/a>)<\/li><li>Designing the Azure role-based access control (RBAC) and POSIX-like Access Control List (ACL) for Data Lake Storage Gen2 (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/blobs\/data-lake-storage-access-control-model#role-based-access-control-azure-rbac\" target=\"_blank\" rel=\"noreferrer noopener\">Access control model in Azure Data Lake Storage Gen2<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/blobs\/data-lake-storage-access-control\" target=\"_blank\" rel=\"noreferrer noopener\">Access control lists (ACLs)<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Implementing data security<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Implementing the data masking (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/dynamic-data-masking-configure-portal\" target=\"_blank\" rel=\"noreferrer noopener\">SQL Database dynamic data masking with the Azure portal<\/a>)<\/li><li>Encrypting data at rest and in motion (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/transparent-data-encryption-tde-overview?tabs=azure-portal\" target=\"_blank\" rel=\"noreferrer noopener\">Transparenting data encryption for the SQL Database, SQL Managed Instance<\/a>)<\/li><li>implement row-level and column-level security<\/li><li>implementing Azure RBAC (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/common\/storage-auth-aad-rbac-portal\" target=\"_blank\" rel=\"noreferrer noopener\">Azure portal for assigning an Azure role for access to blob and queue data<\/a>)<\/li><li>implement POSIX-like ACLs for Data Lake Storage Gen2 (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/blobs\/data-lake-storage-directory-file-acl-powershell#manage-access-control-lists-acls\" target=\"_blank\" rel=\"noreferrer noopener\">PowerShell for managing directories and files in Azure Data Lake Storage Gen2<\/a>)<\/li><li>implement a data retention policy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/time-series-insights\/time-series-insights-how-to-configure-retention\" target=\"_blank\" rel=\"noreferrer noopener\">Configuring retention in Azure Time Series Insights Gen1<\/a>)<\/li><li>implementing a data auditing strategy (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/auditing-overview#setup-auditing\" target=\"_blank\" rel=\"noreferrer noopener\">Auditing for Azure SQL Database and Azure Synapse Analytics<\/a>)<\/li><li>manage identities, keys, and secrets across different data platform technologies<\/li><li>implement secure endpoints (private and public) (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/storage\/common\/storage-private-endpoints\" target=\"_blank\" rel=\"noreferrer noopener\">Private endpoints for Azure Storage<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/managed-instance\/public-endpoint-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Azure SQL Managed Instance securely with public endpoints<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/managed-instance\/public-endpoint-configure\" target=\"_blank\" rel=\"noreferrer noopener\">Configure public endpoint<\/a>)<\/li><li>implement resource tokens in Azure Databricks (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/dev-tools\/api\/latest\/authentication\" target=\"_blank\" rel=\"noreferrer noopener\">Authentication using Azure Databricks personal access tokens<\/a>)<\/li><li>load a DataFrame with sensitive information (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/getting-started\/spark\/dataframes\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of DataFrames<\/a>)<\/li><li>write encrypted data to tables or Parquet files<\/li><li>manage sensitive information (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/security\/benchmarks\/security-control-data-protection\" target=\"_blank\" rel=\"noreferrer noopener\">Explaining Security Control: Data Protection<\/a>)<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Monitor and Optimize Data Storage and Data Processing<\/strong><\/h5>\n\n\n\n<p><em>Monitor data storage and data processing<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>implement logging used by Azure Monitor (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/logs\/data-platform-logs\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Azure Monitor Logs<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/agents\/data-sources-custom-logs\" target=\"_blank\" rel=\"noreferrer noopener\">Collecting custom logs with Log Analytics agent in Azure Monitor<\/a>)<\/li><li>configure monitoring services (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/essentials\/monitor-azure-resource\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring Azure resources with Azure Monitor<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/vm\/vminsights-enable-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Define Enable VM insights<\/a>)<\/li><li>measure performance of data movement (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/copy-activity-performance\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Copy activity performance and scalability<\/a>)<\/li><li>monitor and update statistics about data across a system (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql\/develop-tables-statistics#update-statistics\" target=\"_blank\" rel=\"noreferrer noopener\">Statistics in Synapse SQL<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/t-sql\/statements\/update-statistics-transact-sql?view=sql-server-ver15\" target=\"_blank\" rel=\"noreferrer noopener\">UPDATE STATISTICS<\/a>)<\/li><li>monitor data pipeline performance (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/monitor-using-azure-monitor\" target=\"_blank\" rel=\"noreferrer noopener\">Monitor and Alert Data Factory by using Azure Monitor<\/a>)<\/li><li>measure query performance (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/query-performance-insight-use\" target=\"_blank\" rel=\"noreferrer noopener\">Query Performance Insight for Azure SQL Database<\/a>)<\/li><li>monitor cluster performance (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/hdinsight\/hdinsight-key-scenarios-to-monitor\" target=\"_blank\" rel=\"noreferrer noopener\">Monitor cluster performance in Azure HDInsight<\/a>)<\/li><li>understand custom logging options (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/agents\/data-sources-custom-logs\" target=\"_blank\" rel=\"noreferrer noopener\">Collecting custom logs with Log Analytics agent in Azure Monitor<\/a>)<\/li><li>schedule and monitor pipeline tests (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/v1\/data-factory-monitor-manage-pipelines\" target=\"_blank\" rel=\"noreferrer noopener\">Monitor and manage Azure Data Factory pipelines by using the Azure portal and PowerShell<\/a>)<\/li><li>interpret Azure Monitor metrics and logs (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/essentials\/data-platform-metrics\" target=\"_blank\" rel=\"noreferrer noopener\">Overview of Azure Monitor Metrics<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-monitor\/essentials\/platform-logs-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Define Azure platform logs<\/a>)<\/li><li>interpret a Spark directed acyclic graph (DAG)<\/li><\/ul>\n\n\n\n<p><em>Optimize and troubleshoot data storage and data processing<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>compact small files (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/databricks\/delta\/optimizations\/auto-optimize\" target=\"_blank\" rel=\"noreferrer noopener\">Explain Auto Optimize<\/a>)<\/li><li>rewrite user-defined functions (UDFs) (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/relational-databases\/user-defined-functions\/modify-user-defined-functions?view=sql-server-ver15\" target=\"_blank\" rel=\"noreferrer noopener\">Process of modifying User-defined Functions<\/a>)<\/li><li>handle skew in data (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-lake-analytics\/data-lake-analytics-data-lake-tools-data-skew-solutions\" target=\"_blank\" rel=\"noreferrer noopener\">Resolve data-skew problems by using Azure Data Lake Tools for Visual Studio<\/a>)<\/li><li>handle data spill<\/li><li>tune shuffle partitions<\/li><li>find shuffling in a pipeline<\/li><li>optimize resource management<\/li><li>tune queries by using indexers (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/azure-sql\/database\/automatic-tuning-overview#automatic-tuning-for-sql-database\" target=\"_blank\" rel=\"noreferrer noopener\">Automatic tuning in Azure SQL Database and Azure SQL Managed Instance<\/a>)<\/li><li>tune queries by using cache (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/sql-data-warehouse\/performance-tuning-result-set-caching\" target=\"_blank\" rel=\"noreferrer noopener\">Performance tuning with a result set caching<\/a>)<\/li><li>optimize pipelines for analytical or transactional purposes (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/spark\/apache-spark-performance-hyperspace?pivots=programming-language-csharp\" target=\"_blank\" rel=\"noreferrer noopener\">What is Hyperspace?<\/a>)<\/li><li>optimize pipeline for descriptive versus analytical workloads (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/synapse-analytics\/spark\/apache-spark-performance\" target=\"_blank\" rel=\"noreferrer noopener\">Optimize Apache Spark jobs in Azure Synapse Analytics<\/a>)<\/li><li>troubleshoot a failed spark job (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/hdinsight\/spark\/apache-troubleshoot-spark\" target=\"_blank\" rel=\"noreferrer noopener\">Troubleshoot Apache Spark by using Azure HDInsight<\/a>,&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/hdinsight\/hdinsight-troubleshoot-failed-cluster\" target=\"_blank\" rel=\"noreferrer noopener\">Troubleshoot a slow or failing job on an HDInsight cluster<\/a>)<\/li><li>troubleshoot a failed pipeline run (<strong>Microsoft Documentation:<\/strong>&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/data-factory\/pipeline-trigger-troubleshoot-guide\" target=\"_blank\" rel=\"noreferrer noopener\">Troubleshoot pipeline orchestration and triggers in Azure Data Factory<\/a>)<\/li><\/ul>\n\n\n\n<p><em>Let&#8217;s get to some learning resources which definitely will going to help you!<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Microsoft Data Engineer Exam DP-203<\/strong> <strong>Preparatory Guide <\/strong><\/h2>\n\n\n\n<p>It is time to cherish some exceptional knowledge sponsors for becoming the&nbsp;Azure Data Engineer Associate<\/p>\n\n\n\n<p><strong>Microsoft Learning Platform&nbsp;<\/strong>\u2013 Microsoft manages the&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/certifications\/exams\/az-600?tab=tab-learning-paths\" target=\"_blank\" rel=\"noreferrer noopener\">DP-203 learning paths<\/a>, the aspirant must visit the approved site of Microsoft. The candidate can get all desirable knowledge on the place. Also, they will find several Data Engineering on Microsoft Azure learning pathways and documentation. Also, one can reach the&nbsp;<a href=\"https:\/\/query.prod.cms.rt.microsoft.com\/cms\/api\/am\/binary\/RE4MbYT\" target=\"_blank\" rel=\"noreferrer noopener\">guide for Exam DP-203: Data Engineering on Microsoft Azure<\/a> of Microsoft.&nbsp;<\/p>\n\n\n\n<p><strong>Microsoft Documentations<\/strong>\u2013 For&nbsp;<a href=\"https:\/\/docs.microsoft.com\/en-us\/\" target=\"_blank\" rel=\"noreferrer noopener\"> Exam DP-203: Data Engineering on Microsoft Azure<\/a>, the candidates will obtain documentation on all points belonging to the exam. This action is very necessary in order to become a Azure Data Engineer Associate .<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure-stack\/operator\/azure-stack-download-azure-marketplace-item?view=azs-2008&amp;tabs=az1%2Caz2&amp;pivots=state-disconnected\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/devops\/report\/dashboards\/overview?view=azure-devops\" target=\"_blank\" rel=\"noreferrer noopener\">About dashboards, charts, reports, &amp; widgets<\/a><\/li><li><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure-stack\/operator\/azure-stack-download-azure-marketplace-item?view=azs-2008&amp;tabs=az1%2Caz2&amp;pivots=state-disconnected\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/modules\/review-planning-managing-costs\/10-define-azure-cost-management\" target=\"_blank\" rel=\"noreferrer noopener\">Defining the Azure Cost Management<\/a><\/li><li><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure-stack\/operator\/azure-stack-download-azure-marketplace-item?view=azs-2008&amp;tabs=az1%2Caz2&amp;pivots=state-disconnected\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/devops\/boards\/work-items\/work-item-deployments-control?view=azure-devops\" target=\"_blank\" rel=\"noreferrer noopener\">Linking work items to the deployments<\/a>&nbsp;<\/li><\/ul>\n\n\n\n<p><strong>Instructor-Led Training<\/strong>\u2013 The Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions training contributions that Microsoft impersonates itself are presented on their website. The instructor-led training is necessary to support in order to provide for an exam. The candidate can recognize the instructor-led training on the page of the exam on the Microsoft website. The following is the training plan proposed by Microsoft.&nbsp;<\/p>\n\n\n\n<h6 class=\"wp-block-heading\"><strong><a href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/certifications\/courses\/az-400t00\" target=\"_blank\" rel=\"noreferrer noopener\">Course AZ-400T00-A: Designing and Implementing Microsoft DevOps solutions<\/a><\/strong><\/h6>\n\n\n\n<p><strong>Refer to Online Tutorials<\/strong>\u2013&nbsp;<strong><a href=\"https:\/\/www.testpreptraining.ai\/tutorial\/exam-az-400-designing-and-implementing-microsoft-devops-solutions\/\" target=\"_blank\" rel=\"noreferrer noopener\">Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions Online Tutorial<\/a><\/strong>&nbsp;improves your knowledge and produces a pitch understanding of the exam theories. Additionally, they also include exam details and procedures. Nevertheless, these online tutorials give and in-depth information associated with the examination.<\/p>\n\n\n\n<p><strong>Join a Study Group&nbsp;<\/strong>\u2013 For becoming the Azure DevOps Engineer, the candidate demands to get and engage in education. So, we are insinuating you to hop some studies associations where everyone can study the plans with the people that have the equal goal. This will influence the applicant completely in their preparation.<\/p>\n\n\n\n<p><strong>Evaluate with Practice Test<\/strong>\u2013 The most important action is to halt&nbsp;<a href=\"https:\/\/www.testpreptraining.ai\/microsoft-azure-devops-solutions-az-400-practice-exam\" target=\"_blank\" rel=\"noreferrer noopener\">hands-on practice tests<\/a>. The&nbsp;Microsoft AZ-400 Practice tests&nbsp;are the one which ensures the claimant about their learning. There are many practice tests achievable on the internet now, the candidate can choose whichever they need. The practice test is helpful in implementing the Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions. So,&nbsp;<a href=\"https:\/\/www.testpreptraining.ai\/microsoft-azure-devops-solutions-az-400-free-practice-test\" target=\"_blank\" rel=\"noreferrer noopener\">Start Preparing Immediately!<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>To Conclude!<\/strong><\/h3>\n\n\n\n<p>Microsoft constantly increasing its learning pathways and groupings to support the candidate and their requirement to keep in speed with today\u2019s alarming and nurturing IT settings. This most attractive upgraded credential will improve the candidate\u2019s consciousness to keep energy with today\u2019s known delegations. So, start the material directly with Testpreptraining!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Organizations constantly hire certified Azure Data Engineers to convert unstructured data into smart structured data. Moreover, collecting appropriate and relevant data not only help businesses drive better decisions but also give a better future perspective. Furthermore, the proper use of information also supports improvement in customer service. This has been one of the causes for&#8230;<\/p>\n","protected":false},"author":1,"featured_media":22577,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[131],"tags":[3870,3869,3868,3871,3025],"class_list":["post-20346","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-azure","tag-dp-203-preparation-guide","tag-dp-203-study-guide","tag-exam-dp-203","tag-microsoft-azure-data-engineer","tag-microsoft-data-engineer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to become a Microsoft Azure Data Engineer? - Blog<\/title>\n<meta name=\"description\" content=\"Boost your chances and prepare to become a Certified Microsoft Data Engineer. 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