Exam AI-200 Topic 1 Question 61 Discussion
Actual exam question for Microsoft's AI-200 exam
Question #: 61
Topic #: 1
Question #: 61
Topic #: 1
You store embeddings in a property named embedding in an Azure Cosmos DB for NoSQL container.
You must retrieve the five most similar documents to an input embedding.
You need to construct the similarity query.
What should you do?
You must retrieve the five most similar documents to an input embedding.
You need to construct the similarity query.
What should you do?
Suggested Answer: D Vote an answer
To retrieve the five most similar documents from Azure Cosmos DB for NoSQL using vector search, you must limit the number of results.
When performing vector similarity searches using the VectorDistance() function, you must restrict the output size directly in the query.
Reference:
https://stemhash.com/semantic-search-with-llms/
When performing vector similarity searches using the VectorDistance() function, you must restrict the output size directly in the query.
Reference:
https://stemhash.com/semantic-search-with-llms/
by Bill at Sep 05, 2026, 08:19 AM
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