Study shouldn't wait for a desk. The Oracle Cloud Infrastructure 2024 Generative AI Professional online APP from ExamTorrent installs on all your devices — PC, tablet, phone — so 66 practice questions fit 2026 life anywhere, anytime.
Oracle 1z0-1127-24 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2024 Generative AI Professional |
| Exam Number: | 1Z0-1127-24 |
| Related Certifications: | Oracle Cloud Infrastructure Certified AI Professional |
| Exam Price: | $245 USD |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple Select, Multiple Choice |
| Passing Score: | 68% |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| 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: Fine-tuning and Model Customization | 10% | - Fine-tuning concepts and approaches - Model evaluation and validation - Hyperparameter tuning - Training data preparation - Fine-tuning with OCI tools |
| Topic 2: OCI AI Services Integration | 10% | - Integration with OCI Vision - Multi-modal AI capabilities - Integration with OCI Language - End-to-end solution architecture |
| Topic 3: Oracle Cloud Infrastructure (OCI) Generative AI Service | 25% | - Available models and model selection - Pricing and resource management - Service deployment and configuration - API usage and integration patterns - Security and access control in OCI Gen AI - OCI Generative AI service architecture |
| Topic 4: Introduction to Generative AI | 15% | - Business applications and use cases - History and evolution of generative AI models - Key terminology and vocabulary - Generative AI concepts and definitions - Key components of generative AI systems |
| Topic 5: Prompt Engineering | 20% | - Iterative prompt refinement - Prompt optimization for specific tasks - Prompt templates and patterns - Few-shot and zero-shot prompting techniques - Prompt design principles and best practices - Chain of thought prompting |
| Topic 6: Retrieval Augmented Generation (RAG) | 20% | - Evaluation metrics for RAG systems - Retrieval optimization techniques - Document chunking strategies - Implementing RAG on OCI - RAG architecture and components - Vector databases and embeddings |
What Candidates Ask About the Oracle 1z0-1127-24 Exam
The Oracle Cloud Infrastructure 2024 Generative AI Professional blueprint spans 6 domains — including Prompt Engineering (20%), Introduction to Generative AI (15%), Oracle Cloud Infrastructure (OCI) Generative AI Service (25%). Spend your hours where the percentages are; the full outline above lists every subtopic.
$245 USD per attempt, 68% to pass. Retakes bill the full fee again, so make the first attempt the prepared one — rehearse with the 66 practice questions from ExamTorrent until the mark is comfortably behind you.
90 minutes for 60 questions. Train the pace, don't guess it: the ExamTorrent software and online engines simulate the real test scene and score your performance, so exam day holds no surprises.
Recommended: Basic knowledge of cloud computing concepts, familiarity with AI/ML fundamentals, and understanding of Oracle Cloud Infrastructure Vendors adjust eligibility rules over time — verify the current requirements on the official page (official 1z0-1127-24 exam page) before registering.
Files first: payment triggers an automatic email within a minute — download on unlimited devices, and contact our round-the-clock team if nothing arrives within 2 hours (check spam). Failure is covered: take the corresponding 1z0-1127-24 exam within 60 days of purchase, and if you don't pass, email a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam — we handle it quickly, with the full refund processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You may instead exchange for two equal-value products free.
Yes — download the free Oracle Cloud Infrastructure 2024 Generative AI Professional demo and inspect real questions before paying. Your purchase then stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
The Oracle Cloud Infrastructure 2024 Generative AI Professional is Oracle's official exam for the Oracle Cloud Infrastructure certification, at the Professional level. It validates practical, job-relevant skills — which is why employers shortlist certified candidates. Related credentials include Oracle Cloud Infrastructure Certified AI Professional.
Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions:
Which is NOT a category of pertained foundational models available in the OCI Generative AI service?
- A. Embedding models
- B. Generation models
- C. Translation models
- D. Summarization models
Correct Answer: C 🗳️
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Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?
- A. Generator
- B. Encoder-decoder
- C. Ranker
- D. Retriever
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
What does a dedicated RDMA cluster network do during model fine-tuning and inference?
- A. It increases G PU memory requirements for model deployment.
- B. It limits the number of fine-tuned model deployable on the same GPU cluster.
- C. It enables the deployment of multiple fine-tuned models.
- D. It leads to higher latency in model inference.
Correct Answer: C 🗳️
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What do prompt templates use for templating in language model applications?
- A. Python's lambda functions
- B. Python's class and object structures
- C. Python's str.format syntax
- D. Python's list comprehension syntax
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models(LLMS) fundamentally alter their responses?
- A. It transforms their architecture from a neural network to a traditional database system.
- B. It limits their ability to understand and generate natural language.
- C. It enables them to bypass the need for pretraining on large text corpora.
- D. It shifts the basis of their responses from pretrained internal knowledge to real-time data retrieval.
Correct Answer: D 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
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