- Exam Code: 1Z0-1127-25
- Exam Name: Oracle Cloud Infrastructure 2025 Generative AI Professional
- Updated: Sep 04, 2026
- Q & A: 90 Questions and Answers
The Oracle Cloud Infrastructure 2025 Generative AI Professional has a reputation for tripping up even experienced professionals. Actual4Dumps built its 1Z0-1127-25 practice questions for 2026 to mirror that difficulty, so nothing on exam day catches you off guard.
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2025 Generative AI Professional |
| Exam Number: | 1Z0-1127-25 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice, Multiple Select |
| Certificate Validity Period: | Exam retiring Aug 31, 2025 (or later version release) |
| Exam Price: | USD 245 |
| Related Certifications: | Oracle Cloud Infrastructure Generative AI Professional |
| Passing Score: | 65% |
| Real Exam Qty: | 50 |
| Sample Questions: | ![]() |
| Exam Way: | Online (Proctored) |
| Pre Condition: | None |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-2025-generative-ai-professional/pexam_1Z0-1127-25 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: OCI Generative AI Agents | 20% | - Explain the capabilities of Retrieval-Augmented Generation (RAG) - Create and manage an Agent with Knowledge Base - Use the Agent Endpoint - Describe the architecture of OCI Generative AI Agents |
| Topic 2: OCI Generative AI Security and Governance | 5% | - Configure security and governance for OCI GenAI - Explain data protection and ethical AI principles |
| Topic 3: Using the OCI Generative AI Service | 20% | - Describe the different model providers and endpoints in OCI GenAI - Utilize the Playground for chat - Utilize the Playground for text generation |
| Topic 4: Customizing LLMs | 20% | - Manage Dedicated AI Clusters - Perform Fine-Tuning for Llama models - Explain the need for model customization - Deploy and use custom models - Perform Fine-Tuning for Cohere models |
| Topic 5: Introduction to Generative AI and Large Language Models | 15% | - Describe the fundamentals of Generative AI - Explain Large Language Model (LLM) concepts - Discuss the core components of OCI Generative AI Service |
| Topic 6: OCI Generative AI RAG | 20% | - Manage Data Sources and Data Ingestion Jobs - Create and configure Knowledge Bases - Create and use a RAG service - Explain the components of the RAG pipeline |
The Oracle Cloud Infrastructure 2025 Generative AI Professional is the official Oracle exam that leads to the Oracle Cloud Infrastructure certification at the Professional level. Passing it validates your skills against Oracle standards and proves your qualification to current and future employers. The credential is also connected with related certifications such as Oracle Cloud Infrastructure Generative AI Professional, so it can serve as a solid step in a broader certification path.
The 1Z0-1127-25 exam has 50 questions in total and must be completed within 90 minutes. That leaves only a narrow time budget per item, so train yourself to flag a difficult question, move on, and circle back later instead of getting stuck. A week or two before your test date, run at least one full timed mock exam in the Actual4Dumps desktop or online test engine under the same 90 minutes limit, and repeat until you can finish with a few minutes left for review.
The passing score for the 1Z0-1127-25 exam is 65%, and the official registration fee is USD 245. Keep in mind that a failed attempt is not discounted — retaking the exam means paying the full fee again — so it is wise not to book your seat until your practice scores sit comfortably above the passing mark. Working through the 90 questions at Actual4Dumps in timed mode is a reliable way to judge when you are truly ready.
Oracle sets the following requirement for the 1Z0-1127-25 exam: None. Eligibility rules can change from time to time, so always confirm the current prerequisites on the official exam page at https://education.oracle.com/oracle-cloud-infrastructure-2025-generative-ai-professional/pexam_1Z0-1127-25 before you register.
Yes. Actual4Dumps offers a free PDF demo for the Oracle Cloud Infrastructure 2025 Generative AI Professional, so you can review real sample questions and judge the quality before paying anything. After your purchase, you receive 365 days of free updates — whenever the question pool changes, you get the latest version at no cost. Once that period expires, you can extend your update service at a 50% discount from your member zone.
If you take the 1Z0-1127-25 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee. To qualify, submit a scanned copy of your exam enrollment slip together with your official Score Report (PDF) within 2 days after the exam date, and your claim will be processed within 7 days. Note that the guarantee applies only to the corresponding exam: attempts taken within 3 days of purchase, downloaded-but-unused materials, free resources, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not refund, you can exchange the product for two free exam products of equal value while keeping the update service on your original purchase.
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The Oracle Cloud Infrastructure 2025 Generative AI Professional is organized into 6 domains. Among the first ones are OCI Generative AI Security and Governance (5%), Customizing LLMs (20%), Introduction to Generative AI and Large Language Models (15%), and the remaining domains cover the rest of the official objectives. For the complete topic breakdown with every subtopic, see the full 1Z0-1127-25 exam outline above on this page.
Question 1
Which is a key characteristic of the annotation process used in T-Few fine-tuning?
A. T-Few fine-tuning involves updating the weights of all layers in the model.
B. T-Few fine-tuning relies on unsupervised learning techniques for annotation.
C. T-Few fine-tuning requires manual annotation of input-output pairs.
D. T-Few fine-tuning uses annotated data to adjust a fraction of model weights.
Question 2
What is the function of "Prompts" in the chatbot system?
A. They are used to initiate and guide the chatbot's responses.
B. They store the chatbot's linguistic knowledge.
C. They handle the chatbot's memory and recall abilities.
D. They are responsible for the underlying mechanics of the chatbot.
Question 3
What does the Loss metric indicate about a model's predictions?
A. Loss is a measure that indicates how wrong the model's predictions are.
B. Loss indicates how good a prediction is, and it should increase as the model improves.
C. Loss describes the accuracy of the right predictions rather than the incorrect ones.
D. Loss measures the total number of predictions made by a model.
Question 4
An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?
A. A language model that operates on a token-by-token output basis
B. A diffusion model that specializes in producing complex outputs.
C. A Retrieval Augmented Generation (RAG) model that uses text as input and output
D. A Large Language Model-based agent that focuses on generating textual responses
Question 5
How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?
A. Stored in an unencrypted form in Object Storage
B. Stored in Object Storage encrypted by default
C. Stored in Key Management service
D. Shared among multiple customers for efficiency
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: B |
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