Lesson 120 Quiz: Vector Databases

Question 1

What is the primary purpose of a vector database?

To store only passwords To store and efficiently search numerical vectors To replace all application logic To generate images automatically

Question 2

What does a vector similarity search attempt to find?

Vectors with the highest mathematical similarity to the query vector Only the newest database records Only documents containing exactly the same words Random records from the database

Question 3

Why is metadata important in a vector retrieval system?

It replaces the original document It determines the embedding dimensions automatically It helps with filtering, source identification, and access management It guarantees that every search result is correct

Question 4

Why should access control not depend only on vector similarity?

Similarity automatically grants permission Relevant information may still be confidential or unauthorized Vector databases cannot store confidential information Similarity scores always contain user permissions

Question 5

What is one reason vector indexes are useful?

They eliminate the need for embeddings They make every search exact They can improve similarity-search performance at large scale They automatically guarantee factual accuracy