AWS Certified AI Practitioner AIF-C01 Practice Question
A startup needs a managed relational database that is PostgreSQL-compatible, supports the pgvector extension to store text embeddings, and can scale to 15 low-latency read replicas without application changes. Which AWS service meets these requirements?
Amazon Aurora with PostgreSQL compatibility offers native support for the pgvector extension, letting teams store and search machine-learning embeddings. Aurora's architecture decouples compute from a distributed storage layer replicated across three Availability Zones, enabling up to 15 low-latency read replicas that share the same underlying data. Amazon RDS for PostgreSQL can also use pgvector, but it relies on traditional storage and asynchronous replication, limiting performance and increasing replica lag. Amazon OpenSearch Service is a search and analytics engine, not a relational database, and Amazon DynamoDB is a NoSQL key-value store without PostgreSQL compatibility or pgvector support. Therefore, Aurora PostgreSQL is the only option that satisfies all stated requirements.
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AWS Certified AI Practitioner AIF-C01
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