Microsoft DP-203 Data Engineering on Microsoft Azure Exam Practice Test

A company purchases IoT devices to monitor manufacturing machinery. The company uses an Azure IoTHub 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?

You have an Azure Stream Analytics job named Job1.

The metrics of Job1 from the last hour are shown in the following table.

The late arrival tolerance for Job1 is set to the five seconds.

You need to optimize Job1.

Which two actions achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

You have an Azure Stream Analytics job that read data from an Azure event hub.

You need to evaluate whether the job processes data as quickly as the data arrives or cannot keep up.

Which metric should you review?

You have an Azure Synapse Analytics workspace.

You plan to deploy a lake database by using a database template in Azure Synapse.

Which two elements ate included in the template? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point

You have an Azure subscription that contains an Azure Data Factory data pipeline named Pipeline1, a Log Analytics workspace named LA1, and a storage account named account1.

You need to retain pipeline-run data for 90 days. The solution must meet the following requirements:

* The pipeline-run data must be removed automatically after 90 days.

* Ongoing costs must be minimized.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

You have an Azure Synapse Analytics dedicated SQL pod.

You need to create a pipeline that will execute a stored procedure in the dedicated SQL pool and use the returned result set as the input (or a downstream activity. The solution must minimize development effort.

Which Type of activity should you use in the pipeline?

You are building a data flow in Azure Data Factory that upserts data into a table in an Azure Synapse Analytics dedicated SQL pool.

You need to add a transformation to the data flow. The transformation must specify logic indicating when a row from the input data must be upserted into the sink.

Which type of transformation should you add to the data flow?