[Mar-2026] Oracle 1Z0-184-25 Exam Basic Questions With Answers [Q20-Q37]

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[Mar-2026] Oracle 1Z0-184-25 Exam: Basic Questions With Answers

New 2026 Realistic Free Oracle 1Z0-184-25 Exam Dump Questions and Answer

QUESTION 20
When generating vector embeddings outside the database, what is the most suitable option for storing the embeddings for later use?

In a CSV file

In a binary FVEC file with the relational data in a CSV file

In the database as BLOB (Binary Large Object) data

In a dedicated vector database

QUESTION 21
You are asked to fetch the top five vectors nearest to a query vector, but only for a specific category of documents. Which query structure should you use?

Use UNION ALL with vector operations

Perform the similarity search without a WHERE clause

Apply relational filters and a similarity search in the query

Use VECTOR_INDEX_HINT and NO WHERE clause

QUESTION 22
How is the security interaction between Autonomous Database and OCI Generative AI managed in the context of Select AI?

By encrypting all communication between the Autonomous Database and OCI Generative AI using TLS/SSL protocols

By utilizing Resource Principals, which grant the Autonomous Database instance access to OCI Generative AI without exposing sensitive credentials

By establishing a secure VPN tunnel between the Autonomous Database and OCI Generative AI service

By requiring users to manually enter their OCI API keys each time they execute a natural language query

QUESTION 23
Which vector index available in Oracle Database 23ai is known for its speed and accuracy, making it a preferred choice for vector search?

Binary Tree (BT) index

Inverted File System (IFS) index

Inverted File (IVF) index

Hierarchical Navigable Small World (HNSW) index

QUESTION 24
You are tasked with finding the closest matching sentences across books, where each book has multiple paragraphs and sentences. Which SQL structure should you use?

A nested query with ORDER BY

Exact similarity search with a single query vector

GROUP BY with vector operations

FETCH PARTITIONS BY clause

QUESTION 25
Which Oracle Cloud Infrastructure (OCI) service is directly integrated with Select AI?

OCI Language

OCI Generative AI

OCI Vision

OCI Data Science

QUESTION 26
What is the advantage of using Euclidean Squared Distance rather than Euclidean Distance in similarity search queries?

It is the default distance metric for Oracle AI Vector Search

It supports hierarchical partitioning of vectors

It is simpler and faster because it avoids square-root calculations

It guarantees higher accuracy than Euclidean Distance

QUESTION 27
A database administrator wants to change the VECTOR_MEMORY_SIZE parameter for a pluggable database (PDB) in Oracle Database 23ai. Which SQL command is correct?

ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=BOTH

ALTER DATABASE SET VECTOR_MEMORY_SIZE=1G SCOPE=VECTOR

ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=SGA

ALTER SYSTEM RESET VECTOR_MEMORY_SIZE

QUESTION 28
You want to quickly retrieve the top-10 matches for a query vector from a dataset of billions of vectors, prioritizing speed over exact accuracy. What is the best approach?

Exact similarity search using flat search

Approximate similarity search with a low target accuracy setting

Relational filtering combined with an exact search

Exact similarity search with a high target accuracy setting

QUESTION 29
What is the primary difference between the HNSW and IVF vector indexes in Oracle Database 23ai?

Both operate identically but differ in memory usage

HNSW guarantees accuracy, whereas IVF sacrifices performance for accuracy

HNSW uses an in-memory neighbor graph for faster approximate searches, whereas IVF uses the buffer cache with partitions

HNSW is partition-based, whereas IVF uses neighbor graphs for indexing

QUESTION 30
Which SQL statement correctly adds a VECTOR column named “v” with 4 dimensions and FLOAT32 format to an existing table named “my_table”?

ALTER TABLE my_table MODIFY (v VECTOR(4, FLOAT32))

ALTER TABLE my_table ADD (v VECTOR(4, FLOAT32))

UPDATE my_table SET v = VECTOR(4, FLOAT32)

ALTER TABLE my_table ADD v VECTOR(4, FLOAT32)

QUESTION 31
What is the primary function of an embedding model in the context of vector search?

To define the schema for a vector database

To execute similarity search operations within a database

To transform text or data into numerical vector representations

To store vectors in a structured format for efficient retrieval

QUESTION 32
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?

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

CREATE TABLE vectors (id NUMBER, embedding VECTOR)

CREATE TABLE vectors (id NUMBER, embedding VECTOR(*, INT8))

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

QUESTION 33
What is the significance of using local ONNX models for embedding within the database?

Support for legacy SQL*Plus clients

Improved accuracy compared to external models

Reduced embedding dimensions for faster processing

Enhanced security because data remains within the database

QUESTION 34
Which operation is NOT permitted on tables containing VECTOR columns?

SELECT

UPDATE

DELETE

JOIN ON VECTOR columns

QUESTION 35
Which SQL function is used to create a vector embedding for a given text string in Oracle Database 23ai?

GENERATE_EMBEDDING

CREATE_VECTOR_EMBEDDING

EMBED_TEXT

VECTOR_EMBEDDING

QUESTION 36
What happens when you attempt to insert a vector with an incorrect number of dimensions into a VECTOR column with a defined number of dimensions?

The database truncates the vector to fit the defined dimensions

The database pads the vector with zeros to match the defined dimensions

The database ignores the defined dimensions and inserts the vector as is

The insert operation fails, and an error message is thrown

QUESTION 37
Which PL/SQL package is primarily used for interacting with Generative AI services in Oracle Database 23ai?

DBMS_AI

DBMS_ML

DBMS_VECTOR_CHAIN

DBMS_GENAI

Guaranteed Success in Oracle Database 23ai 1Z0-184-25 Exam Dumps: https://www.testsimulate.com/1Z0-184-25-study-materials.html

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