Top standard in the field, still developing higher. The Oracle AI Vector Search Professional exam guide at GuideTorrent: 62 practice questions for the 1Z0-184-25 exam with expert-verified answers.
Oracle 1Z0-184-25 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle AI Vector Search Professional |
| Exam Number: | 1Z0-184-25 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice |
| Related Certifications: | Oracle Database 23ai Certified Professional |
| Real Exam Qty: | 50 |
| Available Languages: | English |
| Passing Score: | 68% |
| Exam Price: | $245 USD |
| Sample Questions: |  |
| Exam Way: | Online Proctored |
| Pre Condition: | Candidates should have basic familiarity with Python and AI/ML concepts. |
| Official Syllabus URL: | https://education.oracle.com/oracle-ai-vector-search-professional/pexam_1Z0-184-25 |
Oracle 1Z0-184-25 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performing Similarity Search | 15% | - Perform Exact Similarity Search - Perform approximate similarity search using Vector Indexes - Perform Multi-Vector similarity search for multi-document search |
| Topic 2: Understand Vector Fundamentals | 20% | - Perform DDL Operations on Vectors - Use Vector Data type for storing embeddings and enabling semantic queries - Use Vector Distance Functions and Metrics for AI vector search - Perform DML Operations on Vectors |
| Topic 3: Leveraging Related AI Capabilities | 20% | - Load and manage vector data using SQL Loader and Oracle Data Pump - Understand Exadata AI Storage and Distributed AI Processing - Query data using natural language prompts with Select AI - Use Oracle GoldenGate for AI data replication |
| Topic 4: Building a RAG Application | 15% | - Understand RAG Architecture and Concepts - Implement RAG using PL/SQL - Implement RAG using Python |
| Topic 5: Using Vector Embeddings | 15% | - Store and Manage Vector Embeddings - Generate Vector Embeddings using ONNX models in the database - Generate Vector Embeddings using External APIs |
| Topic 6: Using Vector Indexes | 15% | - Use HNSW Vector Index for search queries - Create Vector Indexes to speed up AI vector search - Use IVF Vector Index for search queries |
Oracle AI Vector Search Professional Exam FAQ — Right Direction
$245 USD per attempt, 68% to pass. Retakes cost the full fee — take the right direction with the 62 practice questions for the 1Z0-184-25 exam at GuideTorrent.
The Oracle AI Vector Search Professional is Oracle's certification exam for Oracle Database 23ai, at the Professional level. Capability comes first; certification displays it. Related credentials include Oracle Database 23ai Certified Professional.
Upon successful payment, our system emails the Oracle AI Vector Search Professional vce torrent automatically within about a minute — download to any portable device without limitation, with 24/7 help if nothing arrives within 2 hours. If you fail the corresponding 1Z0-184-25 exam within 60 days of purchase, we refund the full amount: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
90 minutes for 50 questions. Practice anywhere without heavy books — the GuideTorrent online test engine builds pacing wherever you are.
The Oracle AI Vector Search Professional blueprint spans 6 domains — including Building a RAG Application (15%), Leveraging Related AI Capabilities (20%), Using Vector Indexes (15%). Aim effort at the heavy domains first; the complete outline above lists every subtopic.
Candidates should have basic familiarity with Python and AI/ML concepts. Eligibility rules change over time, so verify the current requirements on the official page (official 1Z0-184-25 exam page) before registering.
Yes — the free Oracle AI Vector Search Professional demo lets you judge quality before paying; the full torrent is top standard. Purchases include 365 days of free updates by email, with irregular discounts besides; renew afterward at 50% off.
Oracle AI Vector Search Professional Sample Questions:
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')
- A. oracledb
- B. sentence_transformers
- C. oci
- D. json
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
Which is a characteristic of an approximate similarity search in Oracle Database 23ai?
- A. It always guarantees 100% accuracy
- B. It trades off accuracy for faster performance
- C. It compares every vector in the dataset
- D. It is slower than exact similarity search
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
How is the security interaction between Autonomous Database and OCI Generative AI managed in the context of Select AI?
- A. By utilizing Resource Principals, which grant the Autonomous Database instance access to OCI Generative AI without exposing sensitive credentials
- B. By encrypting all communication between the Autonomous Database and OCI Generative AI using TLS/SSL protocols
- C. By establishing a secure VPN tunnel between the Autonomous Database and OCI Generative AI service
- D. By requiring users to manually enter their OCI API keys each time they execute a natural language query
Correct Answer: A 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
Which DDL operation is NOT permitted on a table containing a VECTOR column in Oracle Database 23ai?
- A. Modifying the data type of an existing VECTOR column to a non-VECTOR type
- B. Dropping an existing VECTOR column from the table
- C. Adding a new VECTOR column to the table
- D. Creating a new table using CTAS (CREATE TABLE AS SELECT) that includes the VECTOR column from the original table
Correct Answer: A 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
What is the significance of using local ONNX models for embedding within the database?
- A. Support for legacy SQL*Plus clients
- B. Enhanced security because data remains within the database
- C. Reduced embedding dimensions for faster processing
- D. Improved accuracy compared to external models
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
Viewing page 1 out of 13 pages.
Viewing questions 1-5 out of 62 questions.
