1Z0-184-25 exam dumps

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  • Exam Code: 1Z0-184-25
  • Exam Name: Oracle AI Vector Search Professional
  • No. of Questions: 62 Questions and Answers
  • Updated: Oct 18, 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
Related Certifications:Oracle Database SQL Specialist
Oracle Cloud Infrastructure AI Foundations
Oracle Cloud Infrastructure Data Science
Exam Format:Multiple Response, Multiple Choice
Available Languages:English
Exam Duration:120 minutes
Recommended Training:Oracle University AI Vector Search Training
Oracle Cloud Infrastructure AI Learning Path
Exam Registration:Oracle Certification Registration
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored exam via Oracle certification platform
Pre Condition:Recommended: Basic understanding of Oracle Cloud Infrastructure and database concepts; familiarity with AI/ML and embeddings is strongly suggested.
Official Syllabus URL:https://education.oracle.com

Oracle 1Z0-184-25 Exam Syllabus Topics:

SectionObjectives
Topic 1: Foundations of Vector Search- Similarity metrics
  • 1. Cosine similarity
    • 2. Euclidean and dot product similarity
      - Vector embeddings concepts
      • 1. Embedding models overview
        • 2. Text embeddings and semantic representation
          Topic 2: Vector Search Implementation- Index creation and management
          • 1. Index tuning and optimization
            • 2. HNSW and approximate nearest neighbor search
              - Query processing
              • 1. Semantic search queries
                • 2. Hybrid search (keyword + vector)
                  Topic 3: Security, Performance, and Optimization- Security and governance
                  • 1. Encryption and compliance considerations
                    • 2. Data access control in OCI
                      - Performance tuning
                      • 1. Scaling vector search workloads
                        • 2. Latency optimization for vector queries
                          Topic 4: RAG and Generative AI Integration- Retrieval-Augmented Generation (RAG)
                          • 1. Architecture of RAG systems
                            • 2. Vector search for context retrieval
                              - LLM integration
                              • 1. Oracle Generative AI integration patterns
                                • 2. Embedding pipelines for LLM apps
                                  Topic 5: Oracle AI Vector Search in OCI- OCI AI services integration
                                  • 1. Service architecture and components
                                    • 2. Using Oracle Cloud Infrastructure AI services
                                      - Vector data storage
                                      • 1. Vector indexing strategies
                                        • 2. Oracle Database vector capabilities

                                          Oracle AI Vector Search Professional Exam FAQ: What Candidates Ask Most

                                          The 1Z0-184-25 exam is the official Oracle exam behind the Oracle AI Vector Search Professional certification, validating the skills measured by the Oracle AI Vector Search Professional credential. It sits at the Professional level of the Oracle certification program. It also connects to Oracle Cloud Infrastructure AI Foundations, Oracle Cloud Infrastructure Data Science, Oracle Database SQL Specialist, so the knowledge you build here carries over to those tracks as well.

                                          Recommended: Basic understanding of Oracle Cloud Infrastructure and database concepts; familiarity with AI/ML and embeddings is strongly suggested. Requirements can change when Oracle revises its certification program, so confirm the current eligibility rules on the official exam page before you register.

                                          You can book the Oracle AI Vector Search Professional exam through the official registration channels below:

                                          As for delivery, the exam is offered in the following format: Online proctored exam via Oracle certification platform. Choose the option that suits you best when you book your seat.

                                          Oracle recommends the following training resources for the Oracle AI Vector Search Professional exam:

                                          Official courses build the foundation; the 62 practice questions from PrepAwayTest then show you how that knowledge is examined, so the two work best together.

                                          Yes. PrepAwayTest provides a free 1Z0-184-25 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Oracle revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.

                                          Every Oracle AI Vector Search Professional purchase on PrepAwayTest is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.

                                          Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.

                                          The Oracle AI Vector Search Professional exam blueprint is organized into 5 domains. The first three are:

                                          • Security, Performance, and Optimization
                                          • Oracle AI Vector Search in OCI
                                          • Foundations of Vector Search

                                          For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.

                                          Oracle AI Vector Search Professional Sample Questions:

                                          What is the default distance metric used by the VECTOR_DISTANCE function if none is specified?

                                          • A. Cosine
                                          • B. Manhattan
                                          • C. Hamming
                                          • D. Euclidean
                                          Reveal Solution  Discussion  0

                                          Correct Answer: A  🗳️

                                          Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).

                                          A database administrator wants to change the VECTOR_MEMORY_SIZE parameter for a pluggable database (PDB) in Oracle Database 23ai. Which SQL command is correct?

                                          • A. ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=BOTH
                                          • B. ALTER SYSTEM RESET VECTOR_MEMORY_SIZE
                                          • C. ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=SGA
                                          • D. ALTER DATABASE SET VECTOR_MEMORY_SIZE=1G SCOPE=VECTOR
                                          Reveal Solution  Discussion  0

                                          Correct Answer: A  🗳️

                                          Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).

                                          You are working with vector search in Oracle Database 23ai and need to ensure the integrity of your vector data during storage and retrieval. Which factor is crucial for maintaining the accuracy and reliability of your vector search results?

                                          • A. Using the same embedding model for both vector creation and similarity search
                                          • B. The physical storage location of the vector data
                                          • C. The specific distance algorithm employed for vector comparisons
                                          • D. Regularly updating vector embeddings to reflect changes in the source data
                                          Reveal Solution  Discussion  0

                                          Correct Answer: A  🗳️

                                          Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).

                                          Which statement best describes the core functionality and benefit of Retrieval Augmented Generation (RAG) in Oracle Database 23ai?

                                          • A. It empowers LLMs to interact with private enterprise data stored within the database, leading to more context-aware and precise responses to user queries
                                          • B. It primarily aims to optimize the performance and efficiency of LLMs by using advanced data retrieval techniques, thus minimizing response times and reducing computational overhead
                                          • C. It enables Large Language Models (LLMs) to access and process real-time data streams from diverse sources to generate the most up-to-date insights
                                          • D. It allows users to train their own specialized LLMs directly within the Oracle Database environment using their internal data, thereby reducing reliance on external AI providers
                                          Reveal Solution  Discussion  0

                                          Correct Answer: A  🗳️

                                          Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).

                                          How does an application use vector similarity search to retrieve relevant information from a database, and how is this information then integrated into the generation process?

                                          • A. Trains a separate LLM on the database and uses it to answer, ignoring the general LLM
                                          • B. Clusters similar text chunks and randomly selects one from the most relevant cluster
                                          • C. Encodes the question and database chunks into vectors, finds the most similar using cosine similarity, and includes them in the LLM prompt
                                          • D. Converts the question to keywords, searches for matches, and inserts the text into the response
                                          Reveal Solution  Discussion  0

                                          Correct Answer: C  🗳️

                                          Explanation: Only visible for PrepAwayTest members. You can sign-up / login (it's free).

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