1Z0-184-25 Practice Test and Study Guide
Oracle 1Z0-184-25 Exam Specifications
- Exam Code:
- 1Z0-184-25
- Exam Name:
- Database AI Vector Search Professional Exam
- Provider:
- Oracle
- Time:
- 90 min
- Passing Percentage:
- 68%
- Version:
- 8.0
Question Types with Explanations
- 60 Single Select
60 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
Key Features to Key Benefits
Real Exam-like Questions and Answers (60 total)
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Free Demo Questions Available
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Skills Covered in Database AI Vector Search Professional Exam (1Z0-184-25)
The Database AI Vector Search Professional Exam focuses on creating and validating vector representations, including embedding generation, dimensionality management, and normalization, selecting suitable similarity metrics, and implementing high-dimensional indexes for scalable retrieval. It also covers data preparation through feature engineering and cleaning, model selection and lifecycle management for vector models, governance and security for access control and privacy, performance monitoring and troubleshooting, and integrating vector results with structured data for hybrid search and ranking.
Essential Skills
- Vector embeddings fundamentals: creation, dimensionality, normalization
- Similarity metrics and distance calculations (cosine, Euclidean, inner product)
- High-dimensional indexing strategies for scalable retrieval
- Query processing for vector search and relevance ranking
- Data preparation: feature engineering, cleaning, and normalization for vectors
- Model selection, fine-tuning, and lifecycle management for vector models
- Security and governance: access control, data privacy, and auditability in vector search
- Monitoring, profiling, and troubleshooting vector search workloads
- Hybrid search integration and result fusion with structured data
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