Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB — Question 9

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?

Answer options

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

Correct answer: B

Explanation

The correct answer is B, as configuring the 'Write throughput budget' helps distribute the write operations evenly across the partitions, optimizing throughput. Options A, C, and D do not specifically address the need for balancing the ingestion load among Spark partitions.