Prepare for the Microsoft Data Engineering on Microsoft Azure exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
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A company purchases IoT devices to monitor manufacturing machinery. The company uses an IoT appliance to communicate with the IoT devices.
The company must be able to monitor the devices in real-time.
You need to design the solution.
What should you recommend?
Stream Analytics is a cost-effective event processing engine that helps uncover real-time insights from devices, sensors, infrastructure, applications and data quickly and easily.
Monitor and manage Stream Analytics resources with Azure PowerShell cmdlets and powershell scripting that execute basic Stream Analytics tasks.
You have an Azure SQL database named DB1 and an Azure Data Factory data pipeline named pipeline.
From Data Factory, you configure a linked service to DB1.
In DB1, you create a stored procedure named SP1. SP1 returns a single row of data that has four columns.
You need to add an activity to pipeline to execute SP1. The solution must ensure that the values in the columns are stored as pipeline variables.
Which two types of activities can you use to execute SP1? (Refer to Data Engineering on Microsoft Azure documents or guide for Answers/Explanation available at Microsoft.com)
the two types of activities that you can use to execute SP1 areStored ProcedureandLookup.
https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-stored-procedure
You have an Azure Synapse Analytics dedicated SQL pool.
You plan to create a fact table named Table1 that will contain a clustered columnstore index.
You need to optimize data compression and query performance for Table1.
What is the minimum number of rows that Table1 should contain before you create partitions?
You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and a database named DB1. DB1 contains a fact table named Table1.
You need to identify the extent of the data skew in Table1.
What should you do in Synapse Studio?
Microsoft recommends use of sys.dm_pdw_nodes_db_partition_stats to analyze any skewness in the data.
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/cheat-sheet
You have two fact tables named Flight and Weather. Queries targeting the tables will be based on the join between the following columns.

You need to recommend a solution that maximum query performance.
What should you include in the recommendation?
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