AWS Certified AI Practitioner (AIF-C01) — Question 90
A company is implementing intelligent agents to provide conversational search experiences for its customers. The company needs a database service that will support storage and queries of embeddings from a generative AI model as vectors in the database.
Which AWS service will meet these requirements?
Answer options
- A. Amazon Athena
- B. Amazon Aurora PostgreSQL
- C. Amazon Redshift
- D. Amazon EMR
Correct answer: B
Explanation
Amazon Aurora PostgreSQL is a relational database that supports vector data types, making it suitable for storing and querying embeddings from generative AI models. In contrast, Amazon Athena is primarily used for querying data stored in Amazon S3, Amazon Redshift is a data warehousing solution better suited for analytics rather than embedding storage, and Amazon EMR is designed for big data processing rather than serving as a database for embeddings.