Question 1

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

Question 2

Multi-Vector Similarity Search is typically used for:

Options :

A : Exact vector matching

B : Single-vector comparisons

C : Multi-document search

D : Image recognition

Answer: C

Question 3

What type of data, can be used for creating Vector Embeddings?

Options :

A : Image data

B : Audio data

C : Text data

D : All of the above

Answer: D

Question 4

Which of the fpllowing statements is NOT true regarding operations on VECTOR columns?

Options :

A : You can use CTAS (Create Table As Select) to create a new table with a VECTOR column based on an existing table.

B : You tan update a VECTOR column based on the value of another column in the same table.

C : You can drop a VECTOR column from a table using ALTER DROP COLUMN.

D : You can perform direct comparisons between two VECTOR columns using operators like

Answer: D

Question 5

What is the correct order of steps for building a RAG application using PL/SQL in Oracle Database 23ai?

Options :

A : Load ONNX Model, Vectorize Question, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

B : Load Document, Split Text into Chunks, Load ONNX Model, Create Embeddings, Vectorize Question, Perform Vector Search, Generate Output

C : Vectorize Question, Load ONNX Model, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

D : Load Document, Load ONNX Model, Split Text into Chunks, Create Embeddings, VectorizeQuestion, Perform Vector Search, Generate Output

Answer: B

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