Question 1

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 2

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 3

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 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

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

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