Retrieval and Indexing Methods Quiz

5 questions Pass: 70% +25 pts (50 with Pro)

Quiz covering Choose Appropriate Foundry Services

What you'll be asked

  1. Which component in Azure AI Search is responsible for converting raw data into a searchable format during the indexing process?
  2. When implementing a RAG (Retrieval-Augmented Generation) pattern, which method is most effective for retrieving semantically related documents regardless of exact keyword matches?
  3. You have a large set of PDF documents containing images and tables. Which feature must be added to your indexer pipeline to extract text from images using OCR?
  4. Your application requires both keyword-based filtering for exact product IDs and semantic search for user queries. What is the recommended approach?
  5. You are optimizing a vector index for a high-traffic production environment. You notice high latency during retrieval. Which configuration change is most likely to improve query performance while maintaining high recall?

Answers and explanations come after you submit.