Integrate Azure Managed Redis in AI Solutions AI-200 Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A social media platform uses Azure Managed Redis to cache user timelines. When a user posts, the timelines of all followers must be invalidated. The platform has millions of followers per user. Which invalidation strategy is most efficient?

   • AUse a version number for each timeline and store it in Redis; clients check the version before reading.
   • BPublish a message to a Redis channel for each follower's timeline key.
   • CSet a short TTL on all timeline keys and let them expire naturally.
   • DDelete the timeline key for each follower individually.
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2. 2application · medium

   A retail company uses Azure Managed Redis to cache product details for its e-commerce website. The product catalog is updated hourly, and the cache must reflect changes within 5 minutes of an update. The team wants to minimize cache misses while ensuring stale data is not served. Which approach should you recommend?

   • AConfigure a TTL of 5 minutes and update the cache value directly when the catalog changes.
   • BSet a TTL of 10 minutes on product cache keys and rely on expiration to refresh data.
   • CUse a TTL of 4 minutes and also invalidate the specific product key when an update occurs.
   • DSet no TTL and manually delete all cache keys after each catalog update.
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4. 3foundation · easy

   Which Redis command is used to remove a specific key from the cache to invalidate it?

   • ADEL
   • BGET
   • CEXPIRE
   • DSET
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5. 4foundation · easy

   Which statement correctly describes a core capability of Azure Managed Redis?

   • AIt provides a fully managed, in-memory data store that supports data structures such as strings, hashes, lists, and sets.
   • BIt is a managed relational database service that uses SQL queries for data retrieval.
   • CIt is a serverless compute service that runs containerized applications without managing infrastructure.
   • DIt is a managed file share service that provides SMB-based storage for virtual machines.
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6. 5application · medium

   A chatbot uses Azure Managed Redis to store embeddings of FAQ answers. When a user asks a question, the system must find the most semantically similar FAQ. The team has already created an index on the vector field. Which Redis command should the application use to retrieve the top 3 matches?

   • AFT.SEARCH idx '*=>[KNN 3 @embedding $vec]' PARAMS 2 vec <query_vector>
   • BZRANGEBYSCORE idx 0 3 WITHSCORES
   • CSIMILARITY idx <query_vector> TOP 3
   • DFT.SEARCH idx '@embedding:[3 $vec]' PARAMS 2 vec <query_vector>
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