Question 1

A machine learning team is using IVF indexes in Oracle Database 23ai to find similar images in a large dataset. During testing, they observe that the search results are often incomplete, missing relevant images. They suspect the issue lies in the number of partitions probed. How should they improve the search accuracy?

Options :

A : Add the TARGET_ACCURACY clause to the query with a higher value for the accuracy

B : Change the index type to HNSW for better accuracy

C : Increase the VECTOR_MEMORY_SIZE initialization parameter

D : Re-create the index with a higher EFCONSTRUCTION value

Answer: A

Question 2

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 3

Assuming we have a table called VT2 that contains vectors for mapping various shapes, colors, and sizes, what is the primary purpose of the following UPDATE statements? SQL> UPDATE vt2SET shape = 'TriangleWHERE id IN (2, 4, 7, 22, 31, 41, 44, 55);SQL> UPDATE vt2SET size = 'Medium'WHERE id IN (5, 22, 25, 32, 34, 42, 43, 53, 54, 55);

Options :

A : To add new rows of data to the VT2 table with different sizes and shapes.

B : To assign attributes like size and shape to existing vectors based on their IDs.

C : To delete rows from the VT2 table that do not meet specific criteria.

D : To modify the vector values stored in the VT2 table.

Answer: B

Question 4

How can vector data be manipulated within an Oracle Database using Data Manipulation Language (DML)?

Options :

A : Insertion only

B : Insertion, updates, deletion, and loading

C : Insertion and updates

D : Insertion, updates, and deletion

Answer: B

Question 5

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