You need to reduce read latency for the retail store solution.
What are two possible ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Create a new composite index for the store location data queries in Azure Cosmos DB. Modify the queries to support parameterized SQL and update the Azure Function app to call the new queries.

B. Provision an Azure Cosmos DB dedicated gateway. Update the Azure Function app connection string to use the new dedicated gateway endpoint.

C. Configure Azure Cosmos DB consistency to session consistency. Cache session tokens in a new Azure Redis cache instance after every write. Update reads to use the session token stored in Azure Redis.

D. Provision an Azure Cosmos DB dedicated gateway. Update blob storage to use the new dedicated gateway endpoint.

E. Configure Azure Cosmos DB consistency to strong consistency. Increase the RUs for the container supporting store location data.






 

Suggested Answer: BC

Azure Cosmos DB queries from the Azure Function exhibit high Request Unit (RU) usage and contain multiple, complex queries that exhibit high point read latency for large items as the function app is scaling.
B: A dedicated gateway is server-side compute that is a front-end to your Azure Cosmos DB account. When you connect to the dedicated gateway, it both routes requests and caches data.
You can provision a dedicated gateway to improve performance at scale.
You must connect to Azure Cosmos DB using the dedicated gateway in order to use the integrated cache. The dedicated gateway has a different endpoint from the standard one provided with your Azure Cosmos DB account. When you connect to your dedicated gateway endpoint, your application sends a request to the dedicated gateway, which then routes the request to different backend nodes. If possible, the integrated cache will serve the result.
C: Azure Cache for Redis perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/data-cache-with-redis-cache
 https://docs.microsoft.com/en-us/azure/cosmos-db/dedicated-gateway

This question is in AZ-204: Developing Solutions for Microsoft Azure Exam
For getting Microsoft Azure Developer Associate Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Microsoft. 
The website does not contain actual questions and answers from Microsoft's Certification Exams.
Trademarks, certification & product names are used for reference only and belong to Microsoft.