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Oracle Updated 1z0-184-25 Exam Questions and Answers by joe

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Oracle 1z0-184-25 Exam Overview :

Exam Name: Oracle AI Vector Search Professional
Exam Code: 1z0-184-25 Dumps
Vendor: Oracle Certification: Oracle Cloud Infrastructure
Questions: 60 Q&A's Shared By: joe
Question 8

Which statement best describes the capability of Oracle Data Pump for handling vector data in thecontext of vector search applications?

Options:

A.

Data Pump only exports and imports vector data if the vector embeddings are stored as BLOB (Binary Large Object) data types in the database

B.

Data Pump treats vector embeddings as regular text strings, which can lead to data corruption or loss of precision when transferring vector data for vector search

C.

Data Pump provides native support for exporting and importing tables containing vector data types, facilitating the transfer of vector data for vector search applications

D.

Because of the complexity of vector data, Data Pump requires a specialized plug-in to handle the export and import operations involving vector data types

Discussion
Question 9

What security enhancement is introduced in Exadata System Software 24ai?

Options:

A.

Integration with third-party security tools

B.

Enhanced encryption algorithm for data at rest

C.

SNMP security (Security Network Management Protocol)

Discussion
Question 10

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

Options:

A.

To define the schema for a vector database

B.

To execute similarity search operations within a database

C.

To transform text or data into numerical vector representations

D.

To store vectors in a structured format for efficient retrieval

Discussion
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Question 11

Which Python library is used to vectorize text chunks and the user’s question in the following example?

import oracledb

connection = oracledb.connect(user=un, password=pw, dsn=ds)

table_name = "Page"

with connection.cursor() as cursor:

create_table_sql = f"""

CREATE TABLE IF NOT EXISTS {table_name} (

id NUMBER PRIMARY KEY,

payload CLOB CHECK (payload IS JSON),

vector VECTOR

)"""

try:

cursor.execute(create_table_sql)

except oracledb.DatabaseError as e:

raise

connection.autocommit = True

from sentence_transformers import SentenceTransformer

encoder = SentenceTransformer('all-MiniLM-L12-v2')

Options:

A.

sentence_transformers

B.

oci

C.

oracledb

D.

json

Discussion
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