Task 1.4: Design and Implement Vector Store Solutions. AIP-C01 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the primary purpose of using a vector database in a generative AI application?

   • ATo execute SQL queries for business intelligence reporting
   • BTo store and retrieve high-dimensional vectors for semantic similarity search
   • CTo provide a backup and recovery solution for foundation model weights
   • DTo replace traditional relational databases for transactional data
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   What is the role of AWS Glue in a vector store integration pipeline?

   • ATo extract, transform, and load (ETL) data from various sources into a format suitable for embedding and vector storage
   • BTo generate embeddings for text data
   • CTo provide a managed vector database
   • DTo serve as a document management system
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which AWS feature can be used to attach custom metadata to objects stored in Amazon S3 for use in a vector store solution?

   • AS3 access points
   • BS3 object tags
   • CS3 bucket policies
   • DS3 lifecycle rules
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the primary purpose of using metadata frameworks in a vector store for FM augmentation?

   • ATo encrypt the vector data at rest
   • BTo reduce the size of the vector embeddings
   • CTo replace the need for semantic search
   • DTo enable filtering and context-aware retrieval based on attributes like source, date, or author
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   What is the role of sharding in an OpenSearch vector index?

   • ATo create backups of the index
   • BTo encrypt data at rest
   • CTo compress vector data to reduce storage
   • DTo distribute data across multiple nodes for parallel processing and scalability
   Reveal Solution Discussion Select an answer first