DP-201 Designing an Azure Data Solution

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Showing 4–6 of 15 questions

Question 4 (Case Study 8)

HOTSPOT

You need to design the data loading pipeline for Planning Assistance.

What should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Hot Area:

Answer is in the explanation below.

Question 5 (Mixed Questions)

You have a MongoDB database that you plan to migrate to an Azure Cosmos DB account that uses the MongoDB API.

During testing, you discover that the migration takes longer than expected.

You need to recommend a solution that will reduce the amount of time it takes to migrate the data.

What are two possible recommendations to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • Increase the Request Units (RUs).

  • Turn off indexing.

  • Add a write region.

  • Create unique indexes.

  • Create compound indexes.

Question 6 (Mixed Questions)

You have a Windows-based solution that analyzes scientific data. You are designing a cloudbased solution that performs real-time analysis of the data.

You need to design the logical flow for the solution.

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

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

  • Send data from the application to an Azure Stream Analytics job.

  • Use an Azure Stream Analytics job on an edge device. Ingress data from an Azure Data Factory instance and build queries that output to Power BI.

  • Use an Azure Stream Analytics job in the cloud. Ingress data from the Azure Event Hub instance and build queries that output to Power BI.

  • Use an Azure Stream Analytics job in the cloud. Ingress data from an Azure Event Hub instance and build queries that output to Azure Data Lake Storage.

  • Send data from the application to Azure Data Lake Storage.

  • Send data from the application to an Azure Event Hub instance.