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Last Updated: Sep 15, 2026

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Oracle 1Z0-184-25 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle AI Vector Search Professional
Exam Number:1Z0-184-25
Passing Score:68%
Certificate Validity Period:Cloud Recertification Policy (Retires May 29, 2026)
Related Certifications:Oracle Database Certification
Exam Format:Multiple Choice
Exam Duration:90 minutes
Real Exam Qty:50
Available Languages:English
Exam Price:USD $245
Recommended Training:Become an Oracle AI Vector Search Professional
Exam Registration:Oracle University Exam Registration
Sample Questions:Oracle 1Z0-184-25 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:Basic familiarity with Python, AI/ML concepts, and Oracle database knowledge
Official Syllabus URL:https://education.oracle.com/products/pexam_1Z0-184-25

Oracle 1Z0-184-25 Exam Syllabus Topics:

SectionWeightObjectives
Understand Vector Fundamentals20%- Vector concepts and differences from traditional search
- Vector distance functions and metrics
- VECTOR data type usage and storage
Performing Similarity Search15%- Multi-vector and multi-document search
- Exact and approximate similarity search
- Combine vector search with SQL queries
Building a RAG Application25%- Implement with PL/SQL and Python
- Integrate with AI services
- RAG architecture and components
Using Vector Indexes15%- Performance vs accuracy trade-offs
- Index types: HNSW, IVF
- Create, manage and optimize vector indexes
Using Vector Embeddings15%- Store and manage embeddings
- Embedding generation workflows
- Generate embeddings inside/outside database
Leveraging Related AI Capabilities10%- Load and manage vector data
- Select AI for natural language queries
- Exadata AI Storage and GoldenGate integration

Frequently Asked Questions About Oracle AI Vector Search Professional

The 1Z0-184-25 exam leads to the Oracle AI Vector Search Certified Professional certification, a Professional-level credential from Oracle. It validates the skills measured by the Oracle AI Vector Search Professional syllabus and is a recognized step for IT professionals building their careers, and it sits alongside related credentials such as Oracle Database Certification.

The Oracle AI Vector Search Professional exam includes 50 questions and gives you 90 minutes to complete them. That works out to a fairly tight pace, so reading each question carefully but decisively matters more than perfectionism. If a question stalls you, flag it and move on; banking the easier points first keeps time pressure from snowballing near the end. Before test day, run at least one full timed session with the Actualtests4sure practice test so the rhythm feels familiar rather than rushed.

You need 68% to pass the 1Z0-184-25 exam, and the official registration fee is USD $245. Keep in mind that a failed attempt means paying the full fee again to retake the exam, so it pays to be honest with yourself before booking a seat. A practical benchmark: work through the 62 practice questions at Actualtests4sure until you can score comfortably above the passing line in timed mode, then schedule your exam.

Basic familiarity with Python, AI/ML concepts, and Oracle database knowledge Because Oracle may adjust its policies over time, we recommend confirming the latest requirements on the official exam page (official exam page) before you register.

You can sign up for the Oracle AI Vector Search Professional exam through any of the official registration channels below:

As for how the exam is delivered: Online proctored or onsite testing center.

Oracle suggests the following training options for candidates preparing for Oracle AI Vector Search Professional:

Formal training is a solid foundation, and pairing it with the 62 practice questions from Actualtests4sure helps you turn that knowledge into exam-day confidence.

Yes. Actualtests4sure offers a free PDF demo of the Oracle AI Vector Search Professional material, so you can review the question style and answer quality before making a decision. Every purchase also includes 365 days of free updates, and after that period you can extend your updates at a 50% discount, which keeps your preparation current through 2026 and beyond.

If you take the Oracle AI Vector Search Professional exam within 60 days of your purchase and do not pass, Actualtests4sure offers a full refund under its Money Back Guarantee. To apply, send a scanned copy of your exam enrollment slip together with your official Score Report in PDF format within 2 days of the exam date, and your claim will be processed within 7 days. The guarantee applies only to the corresponding exam: attempts made within 3 days of purchase, exams downloaded but never actually taken, free materials, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not take a refund, you can exchange your product for two additional exam preparation products of equal value and keep the update service on your original purchase. Delivery itself is instant: your product is available for download right after payment and is also sent to your email within one minute, and if it has not arrived within 2 hours, contact our support team. There is no limit on how many computers you can install it on.

The Oracle AI Vector Search Professional syllabus is divided into 6 main domains, including Building a RAG Application (25%), Performing Similarity Search (15%), Using Vector Embeddings (15%). Each domain carries a different share of the total score, so knowing where the weight sits helps you allocate your study time wisely. You will find the complete, up-to-date outline in the Exam Topics section above.

Oracle AI Vector Search Professional Sample Questions:

Question #1

Which SQL statement correctly adds a VECTOR column named "v" with 4 dimensions and FLOAT32 format to an existing table named "my_table"?

  • A. UPDATE my_table SET v = VECTOR(4, FLOAT32)
  • B. ALTER TABLE my_table ADD (v VECTOR(4, FLOAT32))
  • C. ALTER TABLE my_table ADD v VECTOR(4, FLOAT32)
  • D. ALTER TABLE my_table MODIFY (v VECTOR(4, FLOAT32))
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

In Oracle Database 23ai, which SQL function calculates the distance between two vectors using the Euclidean metric?

  • A. L2_DISTANCE
  • B. HAMMING_DISTANCE
  • C. L1_DISTANCE
  • D. COSINE_DISTANCE
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

When using SQL*Loader to load vector data for search applications, what is a critical consideration regarding the formatting of the vector data within the input CSV file?

  • A. Rely on SQL*Loader's automatic normalization of vector data
  • B. As FVEC is a binary format and the vector dimensions have a known width, fixed offsets can be used to make parsing the vectors fast and efficient
  • C. Use sparse format for vector data
  • D. Enclose vector components in curly braces ({})
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

What is the purpose of the Vector Pool in Oracle Database 23ai?

  • A. To store non-vector data types
  • B. To enable longer SQL execution
  • C. To manage database partitioning
  • D. To store HNSW vector indexes and IVF index metadata
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

You want to quickly retrieve the top-10 matches for a query vector from a dataset of billions of vectors, prioritizing speed over exact accuracy. What is the best approach?

  • A. Relational filtering combined with an exact search
  • B. Exact similarity search with a high target accuracy setting
  • C. Exact similarity search using flat search
  • D. Approximate similarity search with a low target accuracy setting
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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