AI-200: Developing AI Cloud Solutions on AzureDemo

By Microsoft · Question Mode

QuestionQ21

Develop AI solutions by using Azure data management services

You are implementing semantic retrieval in Redis. The solution must provide low-latency, approximate nearest-neighbor (ANN) vector similarity search for large-scale AI retrieval workloads.

Choose the appropriate vector schema configuration values.

Select
Field type for embedding
Index configuration
Explanation

Embeddings must be indexed as a Vector field. HNSW performs approximate nearest-neighbor search and is appropriate when scalability and search performance matter for large datasets; a FLAT index instead performs exhaustive, exact search.

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