The DevOps team is automating releases and must search for similar vectors in embedding datasets. Which design fits best? search for similar vectors in embedding datasets.
Multiple choice — select one answer
Answer choices
Architectural breakdown & explanation
Vector search supports similarity queries for embeddings in search engines or databases.
Correct answer(s): d. Amazon OpenSearch Service or Aurora pgvector
Exam domain: Domain 1: Fundamentals of AI and ML (20% weight on the official guide).
Official documentation & study links
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