Integrate Azure Managed Redis in AI Solutions AI-200 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A social media app caches user profiles in Azure Managed Redis. The profiles are updated infrequently, but the team wants to avoid serving stale data for more than 1 hour. They also want to minimize the number of cache misses. Which expiration policy should they use?

   • ASet a 24-hour expiration and manually delete a profile key when the profile is updated.
   • BSet a 1-hour expiration on all profile keys and use lazy loading.
   • CSet a 10-minute expiration to ensure profiles are always fresher than required.
   • DSet no expiration and rely on the cache eviction policy to remove old keys.
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2. 12application · medium

   A news application caches article content in Azure Managed Redis. Editors occasionally correct an article, and the correction must be visible immediately. The cache uses a TTL of 15 minutes. What is the most reliable way to ensure the corrected article is served right away?

   • AWait for the TTL to expire and let the cache repopulate naturally.
   • BDelete the article's cache key immediately after the correction is saved.
   • CReduce the TTL to 1 minute for all article keys.
   • DUpdate the cache key with the corrected content after saving to the database.
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4. 13expert · hard

   A mobile app uses Azure Managed Redis to cache user preferences. The cache is configured with a TTL of 24 hours. The team wants to reduce memory usage by removing keys that are unlikely to be accessed again. Which Redis eviction policy should they configure?

   • Aallkeys-lru to evict least recently used keys across all keys.
   • Bnoeviction to return errors when memory is full.
   • Cvolatile-lru to evict only keys with a TTL set.
   • Dallkeys-random to evict random keys.
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5. 14foundation · easy

   Which pattern is commonly used to implement caching with Azure Managed Redis?

   • AWrite-through pattern, where every write goes directly to the database and the cache is never updated.
   • BEvent-sourcing pattern, where all changes are stored as events in the cache.
   • CRead-replica pattern, where the cache is a replica of the database and is updated asynchronously.
   • DCache-aside pattern, where the application checks the cache first and loads data from the database on a miss.
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6. 15application · medium

   A company is evaluating Azure Managed Redis for a new AI application that requires low-latency access to a large dataset. The team is concerned about data persistence in case of a failover. Which feature of Azure Managed Redis addresses this concern?

   • AClient-side caching to store data locally.
   • BRedis persistence (RDB or AOF) to save data to disk.
   • CIn-memory replication only, without disk persistence.
   • DUsing a TTL to keep data fresh.
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