Exam DP-420 topic 5 question 9 discussion

Actual exam question from Microsoft's DP-420

Question #: 9
Topic #: 5

You are implementing an Azure Data Factory data flow that will use an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will use 2,000 Apache
Spark partitions.
You need to ensure that the ingestion from each Spark partition is balanced to optimize throughput.
Which sink setting should you configure?

A. Throughput
B. Write throughput budget
C. Batch size
D. Collection action

Show Suggested Answer

Suggested Answer: C 🗳️

by imando at June 3, 2023, 2:09 p.m.

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WimTS

1 month, 4 weeks ago

Selected Answer: B

https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-performance-sinks The Write throughput budget setting allows you to allocate a specific number of Request Units (RUs) for the data flow's write operations to Azure Cosmos DB. By setting this value appropriately, you can distribute the available throughput evenly across all Spark partitions, preventing any single partition from consuming disproportionate resources and ensuring balanced ingestion. This configuration is particularly beneficial when dealing with a high number of partitions, as it helps avoid throttling and maximizes overall throughput.

upvoted 1 times

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YellowSky002

4 months, 3 weeks ago

Selected Answer: B

The "Write Throughput Budget" setting in the Azure Cosmos DB sink of an Azure Data Factory data flow allows you to control the amount of Request Units (RUs) that your data flow operation can consume when writing data to Cosmos DB.

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azuredemo2022three

11 months, 4 weeks ago

C. Batch size determines the number of documents that are sent in each batch to the sink. By configuring an appropriate batch size, you can control the number of documents processed at a time and optimize the ingestion process.

upvoted 4 times

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imando

1 year ago

Selected Answer: C

C is correct

upvoted 3 times

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