Oracle 1Z0-184-25 Exam Syllabus

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Before starting your 1Z0-184-25 exam preparation, it is recommended to review the complete Oracle Database AI Vector Search Professional exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free 1Z0-184-25 questions. We also provide premium 1Z0-184-25 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Oracle 1Z0-184-25 Exam Objectives

Section	Weight	Objectives
Understand Vector Fundamentals	20%	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 Perform DDL Operations on Vectors
Using Vector Indexes	15%	Create Vector Indexes to speed up AI vector search Use HNSW Vector Index for search queries Use IVF Vector Index for search queries
Performing Similarity Search	15%	Perform Exact Similarity Search Perform approximate similarity search using Vector Indexes Perform Multi-Vector similarity search for multi-document search
Using Vector Embeddings	15%	Generate Vector Embeddings outside the Oracle database Generate Vector Embeddings inside the Oracle database Store Vector Embeddings in Oracle database
Building a RAG Application	25%	Understand Retrieval-augmented generation (RAG) concepts Create a RAG application using PL/SQL Create a RAG application using Python
Leveraging related AI capabilities	10%	Use Exadata AI Storage to accelerate AI vector search Use Select AI with Autonomous to query data using natural language prompts Use SQL Loader for loading vector data Use Oracle Data Pump for loading and unloading vector data
Official Information		https://education.oracle.com/ouexam-pexam_1z0-184-25/pexam_1Z0-184-25

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