Task 1.5: Design Retrieval Mechanisms for FM Augmentation. AIP-C01 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A developer wants to enable semantic search for a generative AI application by storing embeddings in a vector store. The application already uses Amazon Aurora PostgreSQL. Which vector search solution can be deployed with minimal additional infrastructure?

   • AAmazon DynamoDB with vector search
   • BAmazon OpenSearch Service
   • CAmazon Bedrock Knowledge Bases
   • DAmazon Aurora with the pgvector extension
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A company needs to generate embeddings for a large corpus of documents stored in S3. They want to use Lambda for batch processing. They have a requirement to process the documents in a way that is resilient to failures and can handle large volumes. What is the best design?

   • AUse a Lambda function triggered by S3 events for each new object, and for the existing backlog, manually run a script on an EC2 instance.
   • BUse an SQS queue to feed document references to a Lambda function, which processes each message and stores the embedding in a vector store.
   • CUse AWS Glue to generate embeddings and store them in S3.
   • DUse a single Lambda function that reads all documents from S3 and generates embeddings in a loop.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   A developer is selecting an embedding model for a semantic search application that requires low-dimensional vectors to minimize storage costs while maintaining good retrieval accuracy. Which Amazon Bedrock embedding model is designed to offer configurable dimensions for such flexibility?

   • AAmazon Titan Text Embeddings
   • BAmazon Titan Multimodal Embeddings
   • CCohere Embed (English)
   • DOpenAI text-embedding-ada-002
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   A developer wants to enhance a user's search query by adding synonyms and related terms to improve recall. Which AWS service can be used to perform this query expansion using a foundation model?

   • AAmazon Bedrock
   • BAWS Lambda
   • CAmazon Comprehend
   • DAmazon OpenSearch Service
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   A developer needs to deploy a vector store for a new application that requires high scalability and advanced search features like filtering and aggregations. Which AWS service is specifically designed for this use case?

   • AAmazon Aurora with pgvector
   • BAmazon OpenSearch Service
   • CAmazon Bedrock Knowledge Bases
   • DAmazon S3
   Reveal Solution Discussion Select an answer first