Integrate Azure Managed Redis in AI Solutions AI-200 Practice Questions (Page 7)

Questions 31–34

1. 31foundation · easy

   Which feature is provided by Azure Managed Redis to help ensure high availability?

   • ABuilt-in integration with Azure Active Directory for user authentication
   • BAutomatic failover to a replica node in the same region
   • CAutomatic scaling of compute resources based on CPU usage
   • DContinuous export of data to Azure Blob Storage every minute
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   What is the primary benefit of using Azure Managed Redis as a cache in an AI application?

   • AIt replaces the need for a database by storing all data in a structured format.
   • BIt permanently stores all application data to prevent data loss.
   • CIt provides a backup of the primary database for disaster recovery.
   • DIt reduces latency by storing frequently accessed data in memory.
   Reveal Solution Discussion Select an answer first
4. 33application · medium

   A recommendation engine stores item embeddings in Azure Managed Redis. The embeddings are updated nightly, and the team needs to rebuild the vector index to reflect the new embeddings. What should they do?

   • AUse the HSET command to update the vector field and the index updates automatically.
   • BDelete the index and recreate it after updating the embeddings.
   • CUse FT.DROPINDEX to drop the index, then FT.CREATE with the same schema.
   • DUpdate the embeddings in place and rely on the index to auto-update.
   Reveal Solution Discussion Select an answer first
5. 34application · medium

   A support system stores embeddings of past tickets in Azure Managed Redis to find similar resolved tickets. The embeddings are 384-dimensional float arrays. The team needs to query the top 5 most similar tickets for a new issue. Which Redis command and index configuration should you use?

   • ACreate a HNSW index on the vector field and use FT.SEARCH with a KNN query.
   • BUse the SORT command on a sorted set containing the embeddings.
   • CCreate a FLAT index on the vector field and use FT.SEARCH with a KNN query.
   • DUse the GEORADIUS command on the embedding coordinates.
   Reveal Solution Discussion Select an answer first