AWS Certified AI Practitioner AIF-C01 Practice Question
A developer needs a fully managed AWS database service that can store vector embeddings by enabling the open-source pgvector extension. Which service should the developer choose?
Amazon RDS for PostgreSQL supports the pgvector extension, allowing vectors to be stored and queried directly in PostgreSQL tables while the service handles backups, patching, and scaling. Amazon RDS for MySQL does not support pgvector, Amazon DynamoDB is a NoSQL key-value store without PostgreSQL extensions, and Amazon Neptune is a graph database that does not use PostgreSQL or pgvector.
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What is the pgvector extension used for in PostgreSQL?
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Why is Amazon RDS for PostgreSQL well-suited for using pgvector?
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How does Amazon RDS for PostgreSQL differ from Amazon Neptune for AI use cases?
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What is the pgvector extension?
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How does Amazon RDS for PostgreSQL manage databases compared to self-managed PostgreSQL?
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Why is Amazon DynamoDB not suitable for pgvector use cases?
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AWS Certified AI Practitioner AIF-C01
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