AWS Certified AI Practitioner AIF-C01 Practice Question
A startup needs a fully managed AWS service that can store sentence embeddings and perform similarity search using native vector database indexes without additional plugins. Which service is purpose-built for this use case?
Amazon OpenSearch Service includes built-in k-nearest neighbor (k-NN) indexes that let you store vector embeddings and run similarity searches, making it a purpose-built vector database. Amazon DynamoDB is a key-value and document database without native vector search capabilities. Amazon S3 is object storage, and while it has emerging vector capabilities, OpenSearch Service is the primary service for this use case. Amazon SQS is a messaging service and provides no database functionality.
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What is k-NN in Amazon OpenSearch Service?
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How do sentence embeddings work in similarity searches?
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Why doesn't Amazon DynamoDB support native vector search?
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What are vector embeddings and how are they used in similarity searches?
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How does k-nearest neighbor (k-NN) work in Amazon OpenSearch Service?
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What scenarios or applications benefit from Amazon OpenSearch Service’s vector database capabilities?
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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