Microsoft DP-203 Exam Practice Questions *Updated Nov 2023*
About this course
The course includes the below concepts for the exam: *Updated Nov 2023*Design and implement data storage (15–20%)Implement a partition strategyImplement a partition strategy for filesImplement a partition strategy for analytical workloadsImplement a partition strategy for streaming workloadsImplement a partition strategy for Azure Synapse AnalyticsIdentify when partitioning is needed in Azure Data Lake Storage Gen2Design and implement the data exploration layerCreate and execute queries by using a compute solution that leverages SQL serverless and Spark clusterRecommend and implement Azure Synapse Analytics database templatesPush new or updated data lineage to Microsoft PurviewBrowse and search metadata in Microsoft Purview Data CatalogDevelop data processing (40–45%)Ingest and transform dataDesign and implement incremental loadsTransform data by using Apache SparkTransform data by using Transact-SQL (T-SQL) in Azure Synapse AnalyticsIngest and transform data by using Azure Synapse Pipelines or Azure Data FactoryTransform data by using Azure Stream AnalyticsCleanse dataHandle duplicate dataAvoiding duplicate data by using Azure Stream Analytics Exactly Once DeliveryHandle missing dataHandle late-arriving dataSplit dataShred JSONEncode and decode dataConfigure error handling for a transformationNormalize and denormalize dataPerform data exploratory analysisDevelop a batch processing solutionDevelop batch processing solutions by using Az
63/100
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- 39/45
- Who stands behind it
- 8/35
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- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- design and implement data storage solutions
- develop data processing solutions
- transform data using Apache Spark
- configure error handling for data transformations
Course objectives
- prepare for the Microsoft DP-203 exam
- actively work with Azure data services
- enhance practical skills in data storage and processing
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