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Question 1

Which operation is NOT permitted on tables containing VECTOR columns?

Options :

A : SELECT

B : UPDATE

C : DELETE

D : JOIN ON VECTOR columns

Answer: D

Question 2

Which function should you use to determine the storage format of a vector?

Options :

A : VECTOR_DIMENSION_FORMAT

B : VECTOR_CHUNKS

C : VECTOR_NORM

D : VECTOR_EMBEDDING

Answer: A

Question 3

How are vectqr embeddings stored in Oracle Database 23ai?

Options :

A : They are stored in a separate, specialized vector database.

B : They are not stored; they are only used for querying.

C : By creating columns with the VECTOR data type in relational tables.

D : They are appended as metadata to existing data files.

Answer: B

Question 4

You are tasked with creating a table to store vector embeddings with the following characteristics: Each vector must have exactly 512 dimensions, and the dimensions should be stored as 32-bitfloating point numbers. Which SQL statement should you use?

Options :

A : CREATE TABLE vectors (id NUMBER, embedding VECTOR(512))

B : CREATE TABLE vectors (id NUMBER, embedding VECTOR)

C : CREATE TABLE vectors (id NUMBER, embedding VECTOR(*, INT8

D : CREATE TABLE vectors (id NUMBER, embedding VECTOR(512, FLOAT32))

Answer: D

Question 5

What is the purpose of the Vector Pool in Oracle Database 23ai?

Options :

A : To manage database partitioning

B : To store HNSW vector indexes and IVF index metadata

C : To enable longer SQL execution

D : To store non-vector data types

Answer: B