Vector Similarity Search in Cosmos DB Quiz

5 questions Pass: 70% +25 pts

Quiz covering Azure Cosmos DB for NoSQL

Vector Similarity Search in Cosmos DB Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    Which of the following is the primary purpose of enabling Vector Similarity Search in Azure Cosmos DB for NoSQL?

  2. 2

    When configuring a vector index in Azure Cosmos DB, which of the following is a required property that must be defined in the vector embedding policy?

  3. 3

    Which distance function should you choose if you want to measure the angle between two vectors, effectively ignoring their magnitude?

  4. 4

    You are designing a vector search query using the VectorDistance system function. Which of the following is a valid way to retrieve the top 5 most similar items?

  5. 5

    When using Flat indexing for vector search in Cosmos DB, what is the primary trade-off you must consider compared to DiskANN indexing?