Two steps are all it takes to start. Pick your 1Z0-1127-25 product at CertkingdomPDF, complete the secure payment, and your materials land in your email almost at once — in 2026, preparing for the Oracle Cloud Infrastructure 2025 Generative AI Professional really can be that simple.
Oracle 1Z0-1127-25 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2025 Generative AI Professional |
| Exam Number: | 1Z0-1127-25 |
| Available Languages: | English |
| Passing Score: | 68% |
| Exam Format: | Multiple Choice |
| Exam Price: | USD $245 |
| Exam Duration: | 90 minutes |
| Related Certifications: | Oracle Cloud Infrastructure Certifications |
| Certificate Validity Period: | Until May 29, 2026; follows Oracle Cloud Recertification Policy |
| Real Exam Qty: | 50 |
| Recommended Training: | Become an OCI Generative AI Professional (2025) |
| Exam Registration: | Oracle University Registration |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended knowledge: machine learning, deep learning, Python, and basic OCI familiarity |
| Official Syllabus URL: | https://education.oracle.com/pexam_1Z0-1127-25 |
Oracle 1Z0-1127-25 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Retrieval-Augmented Generation (RAG) | 20% | - RAG workflow concepts and components - Similarity search and response generation - Document processing: chunking, embedding, storage - Integration with Oracle Database 23ai and LangChain |
| Generative AI Solutions on OCI | 10% | - Performance optimization and cost management - Design and deploy end-to-end generative AI solutions |
| Fundamentals of Large Language Models (LLMs) | 25% | - LLM basics and architectures - Fine-tuning concepts and methods - Code models, multi-modal LLMs, and language agents - Prompt engineering principles and techniques |
| OCI Generative AI Service Deep Dive | 30% | - Pre-trained foundational models: generation, summarization, embedding - Generative AI security architecture and compliance - Model inference and dedicated AI clusters - Flexible fine-tuning including T-Few techniques |
| Build Conversational Applications | 15% | - Trace, evaluate, and deploy LLM applications - Building chatbots with LangChain framework - Using OCI Generative AI RAG Agents Service |
Everything You Should Know About the 1Z0-1127-25 Exam
The Oracle Cloud Infrastructure 2025 Generative AI Professional blueprint breaks down into these main domains:
- Generative AI Solutions on OCI (10%)
- OCI Generative AI Service Deep Dive (30%)
- Build Conversational Applications (15%)
Additional domains follow in the official outline, and our question bank covers every one of them.
Right after payment, your download link is available instantly and an automatic email with the materials reaches your inbox in about a minute — you can download the attachments whenever it suits you and install the software on as many machines as you need. If nothing arrives within two hours, contact our support team and we will sort it out. Your purchase also includes 365 days of free updates, sent to your email as soon as a new version is ready; when the period ends, you can renew at a 50% discount.
You can register through the official channels below:
Pick the option that suits you, choose a test center or an online slot, and book early — popular dates fill up fast.
Based on the latest exam information, the 1Z0-1127-25 exam contains 50 questions and gives you 90 minutes minutes to complete them. Practicing under the same time limit in our PC or online version is a good way to assess your pace before the real thing.
Oracle lists the following prerequisites for the Oracle Cloud Infrastructure 2025 Generative AI Professional: No mandatory prerequisites; recommended knowledge: machine learning, deep learning, Python, and basic OCI familiarity.
You can verify the details on the official certification page.
If you fail the corresponding exam within 60 days of your purchase, we will refund you in full. Simply send a scanned copy of your enrollment slip and your official Score Report PDF within two days of taking the exam; we process verified claims within seven days. A few conditions apply: exams taken within three days of purchase are not covered, the candidate name must match the payer, and free or expired products are excluded. If you would rather keep preparing, we can exchange your product for two others of equal value instead.
Oracle suggests the following official training options:
These courses pair well with hands-on question practice if you want a structured path through the material.
Because it was built for people with little time to spare. The bank covers the important knowledge points of the current Oracle Cloud Infrastructure 2025 Generative AI Professional blueprint with expert-verified answers, and you study in the format that fits you: a printable PDF you can mark up with a pen, or PC and online versions that simulate the real exam interactively and let you assess your pace. A free demo lets you confirm the quality before you buy, and every purchase includes 365 days of free updates plus a 50% renewal discount afterward.
The current passing score for the 1Z0-1127-25 exam is 68%, and the exam fee is USD $245. Fees and cut scores are set by Oracle, so confirm the latest figures on the official page before you register.
Oracle Cloud Infrastructure 2025 Generative AI Professional Sample Questions:
How do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language processing?
- A. Dot Product measures the magnitude and direction of vectors, whereas Cosine Distance focuses on the orientation regardless of magnitude.
- B. Dot Product is used for semantic analysis, whereas Cosine Distance is used for syntactic comparisons.
- C. Dot Product assesses the overall similarity in content, whereas Cosine Distance measures topical relevance.
- D. Dot Product calculates the literal overlap of words, whereas Cosine Distance evaluates the stylistic similarity.
Correct Answer: A 🗳️
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Given the following code:
PromptTemplate(input_variables=["human_input", "city"], template=template) Which statement is true about PromptTemplate in relation to input_variables?
- A. PromptTemplate supports any number of variables, including the possibility of having none.
- B. PromptTemplate requires a minimum of two variables to function properly.
- C. PromptTemplate is unable to use any variables.
- D. PromptTemplate can support only a single variable at a time.
Correct Answer: A 🗳️
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What does "k-shot prompting" refer to when using Large Language Models for task-specific applications?
- A. The process of training the model on k different tasks simultaneously to improve its versatility
- B. Limiting the model to only k possible outcomes or answers for a given task
- C. Providing the exact k words in the prompt to guide the model's response
- D. Explicitly providing k examples of the intended task in the prompt to guide the model's output
Correct Answer: D 🗳️
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What is the function of the Generator in a text generation system?
- A. To rank the information based on its relevance to the user's query
- B. To collect user queries and convert them into database search terms
- C. To generate human-like text using the information retrieved and ranked, along with the user's original query
- D. To store the generated responses for future use
Correct Answer: C 🗳️
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What is prompt engineering in the context of Large Language Models (LLMs)?
- A. Adding more layers to the neural network
- B. Training the model on a large dataset
- C. Adjusting the hyperparameters of the model
- D. Iteratively refining the ask to elicit a desired response
Correct Answer: D 🗳️
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