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The Microsoft Microsoft Certified: Azure Data Engineer Associate Exams certification is a globally recognized credential that validates the skills and knowledge required to install, configure, operate, and troubleshoot small to medium-sized enterprise networks. To earn this prestigious certification, candidates must pass the Microsoft DP-203 exam, which covers a wide range of networking topics, including network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability.

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Microsoft DP-203 Sample Questions

Question # 1

Note: This question is part of a series of questions that present the same scenario.Each question in the series contains a unique solution that might meet the statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.You have an Azure Data Lake Storage account that contains a staging zone.You need to design a daily process to ingest incremental data from the staging zone,transform the data by executing an R script, and then insert the transformed data into adata warehouse in Azure Synapse Analytics.Solution: You schedule an Azure Databricks job that executes an R notebook, and theninserts the data into the data warehouse.Does this meet the goal?

A. Yes
B. No



Question # 2

You plan to use an Apache Spark pool in Azure Synapse Analytics to load data to an AzureData Lake Storage Gen2 account.You need to recommend which file format to use to store the data in the Data Lake Storageaccount. The solution must meet the following requirements:• Column names and data types must be defined within the files loaded to the Data LakeStorage account.• Data must be accessible by using queries from an Azure Synapse Analytics serverlessSQL pool.• Partition elimination must be supported without having to specify a specific partition.What should you recommend?

A. Delta Lake
B. JSON
C. CSV
D. ORC



Question # 3

You are designing 2 solution that will use tables in Delta Lake on Azure Databricks.You need to minimize how long it takes to perform the following:*Queries against non-partitioned tables* Joins on non-partitioned columnsWhich two options should you include in the solution? Each correct answer presents part ofthe solution.(Choose Correct Answer and Give Explanation and References to Support the answersbased from Data Engineering on Microsoft Azure)

A. Z-Ordering
B. Apache Spark caching
C. dynamic file pruning (DFP)
D. the clone command



Question # 4

You have an Azure subscription that contains an Azure Blob Storage account namedstorage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.You need to store data in storage1. The data will be read by Pool1. The solution must meetthe following requirements:Enable Pool1 to skip columns and rows that are unnecessary in a query.Automatically create column statistics.Minimize the size of files.Which type of file should you use?

A. JSON
B. Parquet
C. Avro
D. CSV



Question # 5

You have an Azure Databricks workspace that contains a Delta Lake dimension tablenamed Tablet. Table1 is a Type 2 slowly changing dimension (SCD) table. You need toapply updates from a source table to Table1. Which Apache Spark SQL operation shouldyou use?

A. CREATE
B. UPDATE
C. MERGE
D. ALTER



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