試験AI-200 トピック1 問題88 スレッド
Microsoft AI-200のリアル試験問題集
問題 #: 88
トピック #: 1
問題 #: 88
トピック #: 1
You optimize an AI inference API that uses Redis caching.
You must reduce the risk of serving outdated data while minimizing cache management overhead. You need to implement the caching strategy that satisfies the requirements. What should you do?
You must reduce the risk of serving outdated data while minimizing cache management overhead. You need to implement the caching strategy that satisfies the requirements. What should you do?
おすすめの解答：D 解答を投票する
Detailed Explanation: If the priority is to minimize stale results, source-driven invalidation is the direct control: when the underlying record changes, delete the corresponding cache entry so the next request repopulates it from current data. Sliding expiration can keep a frequently accessed stale item alive, disabling expiration is worse, and an allkeys-LRU policy evicts according to memory pressure rather than data freshness. Invalidation therefore best addresses correctness without requiring constant cache-wide maintenance.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Azure Managed Redis documentation
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Azure Managed Redis documentation
Kyouno 2026-08-20 11:11:54
コメント
他人の解答コメントを賛成するのも、その解答に一票を入れることになります。したがって、すでに同じ意見の投票コメントが存在する場合、新規コメントをする代わりに賛成することもできます。
コメントを通報する
コメント中
今すぐ 新規登録 / ログイン （無料です）。