Why Study with PlanetCert?
The Latest Questions
Practice questions and exam topics aligned with the current exam objectives.
Detailed Explanations
Go beyond the answer. Master the material with comprehensive learning and professional explanations for every concept.
AI-Powered Insights
Personalized preparation guidance that adapts to your performance and identifies weak spots automatically.
Exam Information
Official specifications published by Oracle
Exam Format
Registration
Validity
1Z0-184-25 Exam Topics and Domains
1Z0-184-25 is organized into 6 weighted domains. Expect to work with Oracle AI Vector Search, DBMS_VECTOR_CHAIN, OCI Generative AI, Oracle Database 23ai, and more.
Understanding Vector Fundamentals
Vectors, embeddings and the VECTOR data type
- Understand and implement the vector data type within Oracle AI Database
- Explain the role of vector embeddings in similarity-based search
DDL and DML operations on vector data
- Perform DML and DDL operations on vector columns
- Apply vector distance functions
Using Vector Indexes
Vector index types
Create and optimize vector indexes such as HNSW and IVF for AI vector search
Index creation, tuning and accuracy
Manage vector indexes for high-performance searches
Performing Similarity Search
Exact and approximate similarity search
Perform exact and approximate similarity searches
Using Vector Embeddings
Generating embeddings inside and outside the database
Generate and store vector embeddings both inside and outside Oracle AI Database
Loading and managing vector datasets
Load and manage vector data efficiently using SQL Loader and Oracle Data Pump
Building a Retrieval Augmented Generation (RAG) solution
RAG concepts and workflow
Understand RAG workflows and the role of vector search in retrieval
Implementing RAG with PL/SQL and Python
Develop Retrieval-Augmented Generation (RAG) applications using PL/SQL and Python
Leveraging related AI capabilities
Exadata, GoldenGate and Select AI
- Understand Exadata AI Storage and Distributed AI Processing with Oracle GoldenGate
- Query data using natural language prompts with Select AI
How do I earn this certification?
Passing 1Z0-184-25 earns the Oracle AI Vector Search Certified Professional certification. It sits in the Oracle Database 23ai / AI track.
- 1Z0-182 - Oracle AI Database Administration AssociateComplementary Oracle Database 23ai administration credential (discovery-corroborated via education.oracle.com; verify current code)
- 1Z0-183 - Oracle Database 23ai Administration ProfessionalComplementary professional-level Oracle Database 23ai credential (discovery-corroborated via education.oracle.com; verify current code)
- 1Z0-1127-25 - Oracle Cloud Infrastructure 2025 Generative AI ProfessionalComplementary Generative AI credential for RAG / LLM application skills (discovery-corroborated via education.oracle.com; verify current code)
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for 1Z0-184-25 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
- ACTIVE
- Last content update: 2025-02-05
- Announcement date: 2025-02-05
Who should take this exam?
- Basic familiarity with Python programming
- Basic understanding of Generative AI concepts
- Foundational knowledge of Oracle database management