Oracle 1z0-1127-24 Exam Details & Actual Exam Questions
- Exam Code/Number: 1z0-1127-24
- Exam Name/Title: Oracle Cloud Infrastructure 2024 Generative AI Professional
- Certification Provider: Oracle
- Corresponding Certification: Oracle Cloud Infrastructure
- Exam Questions: 66
- Updated On: Jun,16 2026
- Certification Level: Professional
Oracle Cloud Infrastructure 2024 Generative AI Professional Exam Questions
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(10 Up Votes)Oracle 1z0-1127-24 Exam Overview:
| Certification Vendor: | Oracle |
| Exam Name: | Oracle Cloud Infrastructure 2024 Generative AI Professional |
| Exam Number: | 1Z0-1127-24 |
| Exam Price: | $245 USD |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Oracle Cloud Infrastructure Certified AI Professional |
| Passing Score: | 68% |
| Sample Questions: | Oracle 1z0-1127-24 Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | Recommended: Basic knowledge of cloud computing concepts, familiarity with AI/ML fundamentals, and understanding of Oracle Cloud Infrastructure |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-2024-generative-ai-professional |
Oracle 1z0-1127-24 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt optimization for specific tasks - Chain of thought prompting - Prompt templates and patterns - Prompt design principles and best practices - Iterative prompt refinement - Few-shot and zero-shot prompting techniques |
| Topic 2: OCI AI Services Integration | 10% | - Integration with OCI Language - End-to-end solution architecture - Integration with OCI Vision - Multi-modal AI capabilities |
| Topic 3: Oracle Cloud Infrastructure (OCI) Generative AI Service | 25% | - OCI Generative AI service architecture - API usage and integration patterns - Security and access control in OCI Gen AI - Pricing and resource management - Available models and model selection - Service deployment and configuration |
| Topic 4: Introduction to Generative AI | 15% | - Business applications and use cases - Key terminology and vocabulary - History and evolution of generative AI models - Key components of generative AI systems - Generative AI concepts and definitions |
| Topic 5: Retrieval Augmented Generation (RAG) | 20% | - Vector databases and embeddings - Evaluation metrics for RAG systems - Implementing RAG on OCI - Document chunking strategies - RAG architecture and components - Retrieval optimization techniques |
| Topic 6: Fine-tuning and Model Customization | 10% | - Fine-tuning concepts and approaches - Hyperparameter tuning - Training data preparation - Fine-tuning with OCI tools - Model evaluation and validation |
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