DP-203 Data Engineering on Microsoft Azure

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Showing 4–6 of 20 questions

Question 4 (New Update)

You plan to create a real-time monitoring app that alerts users when a device travels more than 200 meters away from a designated location.

You need to design an Azure Stream Analytics job to process the data for the planned app. The solution must minimize the amount of code developed and the number of technologies used.

What should you include in the Stream Analytics job? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Diagram, table Description automatically generated

Answer is in the explanation below.

Question 5 (New Update)

You have an Azure Storage account that generates 200.000 new files daily. The file names have a format of (YYY)/(MM)/(DD)/|HH])/(CustornerID).csv.

You need to design an Azure Data Factory solution that will toad new data from the storage account to an Azure Data lake once hourly. The solution must minimize load times and costs.

How should you configure the solution? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Answer is in the explanation below.

Question 6 (New Update)

You haw an Azure data factory named ADF1.

You currently publish all pipeline authoring changes directly to ADF1.

You need to implement version control for the changes made to pipeline artifacts. The solution must ensure that you can apply version control to the resources currently defined m the UX Authoring canvas for ADF1.

Which two actions should you perform? Each correct answer presents part of the solution

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • Create an Azure Data Factory trigger

  • From the UX Authoring canvas, select Set up code repository

  • Create a GitHub action

  • From the UX Authoring canvas, run Publish All.

  • Create a Git repository

  • From the UX Authoring canvas, select Publish