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1z0-184-25 Practice Questions

Oracle AI Vector Search Professional

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Total Questions : 60

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Our Oracle Database 23ai practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about 1z0-184-25. Use this test to pinpoint which areas you need to focus your study on.

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Question # 1

In Oracle Database 23ai, which data type is used to store vector embeddings for similarity search?

Options:

A.  

VECTOR2

B.  

BLOB

C.  

VECTOR

D.  

VARCHAR2

Discussion 0
Question # 2

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

Options:

A.  

DBMS_AI

B.  

DBMS_ML

C.  

DBMS_VECTOR_CHAIN

D.  

DBMS_GENAI

Discussion 0
Question # 3

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

Options:

A.  

Binary Tree (BT) index

B.  

Inverted File System (IFS) index

C.  

Inverted File (IVF) index

D.  

Hierarchical Navigable Small World (HNSW) index

Discussion 0
Question # 4

What is a key characteristic of HNSW vector indexes?

Options:

A.  

They are hierarchical with multilayered connections

B.  

They require exact match for searches

C.  

They are disk-based structures

D.  

They use hash-based clustering

Discussion 0
Question # 5

What is a key advantage of using GoldenGate 23ai for managing and distributing vector data for AI applications?

Options:

A.  

Real-time vector data updates across locations

B.  

Automatic translation of vector embeddings between formats

C.  

Specialized vector embedding compression

D.  

Built-in version control for vector data

Discussion 0
Question # 6

What is the default distance metric used by the VECTOR_DISTANCE function if none is specified?

Options:

A.  

Euclidean

B.  

Hamming

C.  

Cosine

D.  

Manhattan

Discussion 0
Question # 7

Which is NOT a feature or capability related to AI and Vector Search in Exadata?

Options:

A.  

Native Support for Vector Search Only within the Database Server

B.  

Vector Replication with GoldenGate

C.  

Loading Vector Data using SQL*Loader

D.  

AI Smart Scan

Discussion 0
Question # 8

Which parameter is used to define the number of closest vector candidates considered during HNSW index creation?

Options:

A.  

EFCONSTRUCTION

B.  

VECTOR_MEMORY_SIZE

C.  

NEIGHBOURS

D.  

TARGET_ACCURACY

Discussion 0
Question # 9

Which of the following actions will result in an error when using VECTOR_DIMENSION_COUNT() in Oracle Database 23ai?

Options:

A.  

Providing a vector with a dimensionality that exceeds the specified dimension count

B.  

Using a vector with a data type that is not supported by the function

C.  

Providing a vector with duplicate values for its components

D.  

Calling the function on a vector that has been created with TO_VECTOR()

Discussion 0
Question # 10

What is the primary purpose of the DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS package in a RAG application?

Options:

A.  

To generate vector embeddings from a text document

B.  

To load a document into the database

C.  

To split a large document into smaller chunks to improve vector quality by minimizing token truncation

D.  

To convert a document into a single, large text string

Discussion 0
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