You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB.
Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso, Ltd.
You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.
You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.
What should you do? More than one answer choice may achieve the goal. (Choose two.)

A. Change the request units.

B. Change the partitioning strategy.

C. Change the transaction isolation level.

D. Migrate the data to the Cosmos DB database.








 

Suggested Answer: AB

Increasing request units would improve throughput, but at a cost.
Throughput provisioned for a container is divided evenly among physical partitions.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/data-partitioning

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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