Oracle 1Z0-184-25 : Oracle AI Vector Search Professional

Exam Code: 1Z0-184-25
Exam Name: Oracle AI Vector Search Professional
Updated: Sep 09, 2026
Q & A: 62 Questions and Answers

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Oracle 1Z0-184-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Understand Vector Fundamentals: This section of the exam measures the skills of Data Engineers in working with vector data types for storing embeddings and enabling semantic queries. It covers vector distance functions and metrics used in AI vector search. Candidates must demonstrate proficiency in performing DML and DDL operations on vectors to manage data efficiently.
Topic 2	Using Vector Embeddings: This section measures the abilities of AI Developers in generating and storing vector embeddings for AI applications. It covers generating embeddings both inside and outside the Oracle database and effectively storing them within the database for efficient retrieval and processing.
Topic 3	Performing Similarity Search: This section tests the skills of Machine Learning Engineers in conducting similarity searches to find relevant data points. It includes performing exact and approximate similarity searches using vector indexes. Candidates will also work with multi-vector similarity search to handle searches across multiple documents for improved retrieval accuracy.

Reference: https://education.oracle.com/ouexam-pexam_1z0-184-25/pexam_1Z0-184-25