AWS Certified AI Practitioner AIF-C01 Practice Question
A data science team needs a fully managed relational database that supports the pgvector extension so they can store and query text embeddings. Which AWS service should they choose?
Amazon RDS for PostgreSQL offers managed PostgreSQL instances and supports the pgvector extension, enabling efficient storage and similarity search over vector embeddings. Amazon DynamoDB is a NoSQL key-value store that does not natively support pgvector. Amazon S3 is object storage and cannot run SQL extensions. Amazon Kinesis Data Streams is a streaming service, not a database, and provides no native vector search capability.
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What is Amazon RDS for PostgreSQL?
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What is the pgvector extension used for?
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How does Amazon RDS differ from Amazon DynamoDB?
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What is the pgvector extension in PostgreSQL?
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Why is Amazon RDS for PostgreSQL a good choice for managed relational databases?
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What are the differences between Amazon RDS and Amazon DynamoDB?
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AWS Certified AI Practitioner AIF-C01
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