PDF Version DemoBooking the 1z0-1127-24 exam is an investment, and a failed attempt means paying the registration fee all over again. With 66 practice questions from Getcertkey, you walk into the Oracle Cloud Infrastructure 2024 Generative AI Professional exam knowing exactly where you stand.
Oracle 1z0-1127-24 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2024 Generative AI Professional |
| Exam Number: | 1z0-1127-24 |
| Certificate Validity Period: | 24 months |
| Passing Score: | 65% |
| Real Exam Qty: | 40-55 |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multi-Response |
| Related Certifications: | Oracle Cloud Infrastructure Certifications |
| Exam Price: | USD 245 |
| Exam Duration: | 90 minutes |
| Recommended Training: | OCI Generative AI Professional Learning Path |
| Exam Registration: | Pearson VUE Oracle University Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored / Onsite test center |
| Pre Condition: | No mandatory prerequisites; recommended: basic machine learning/deep learning knowledge, Python familiarity, OCI experience |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-2024-generative-ai-professional/pexam_1Z0-1127-24 |
Oracle 1z0-1127-24 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Responsible AI and Security | 10% | - Data privacy and compliance - Hallucination prevention - Content safety and guardrails - Bias detection and mitigation |
| Building LLM Applications with OCI Generative AI | 35% | - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) architecture - OCI Generative AI Agents and tool use - Chunking strategies and embedding models - Integration with LangChain - Similarity search and re-ranking - Deploying, tracing and evaluating LLM applications |
| Fundamentals of Large Language Models | 20% | - LLM architecture and transformer models - Tokenization and embedding vectors - Code models fundamentals - Prompt engineering basics - Fine-tuning concepts and methods |
| Using OCI Generative AI Service | 45% | - Foundational models: Cohere, Llama 2, Meta models - Core service features and concepts - Endpoints: chat, generate, embed - Inference parameters: temperature, top-p, top-k, max tokens - Model versioning and service limits - Dedicated AI clusters for fine-tuning and inference |
Common Questions About the Oracle 1z0-1127-24 Exam
What is the Oracle Cloud Infrastructure 2024 Generative AI Professional exam all about?
The 1z0-1127-24 exam is the official Oracle exam behind the Oracle Cloud Infrastructure 2024 Generative AI Professional certification, validating the skills measured by the Oracle Cloud Infrastructure 2024 Generative AI Professional credential. It sits at the Professional level of the Oracle certification program. It also connects to Oracle Cloud Infrastructure Certifications, so the knowledge you build here carries over to those tracks as well.
How many questions are on the 1z0-1127-24 exam, and how much time do I get?
The 1z0-1127-24 exam contains 40-55 questions to be completed within 90 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the 1z0-1127-24 exam, and what does it cost?
The passing score for the 1z0-1127-24 exam is 65%, and the official registration fee is USD 245. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 66 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the 1z0-1127-24 exam?
No mandatory prerequisites; recommended: basic machine learning/deep learning knowledge, Python familiarity, OCI experience Requirements can change when Oracle revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the 1z0-1127-24 exam?
You can book the Oracle Cloud Infrastructure 2024 Generative AI Professional exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored / Onsite test center. Choose the option that suits you best when you book your seat.
What official training is recommended for the 1z0-1127-24 exam?
Oracle recommends the following training resources for the Oracle Cloud Infrastructure 2024 Generative AI Professional exam:
Official courses build the foundation; the 66 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the 1z0-1127-24 practice questions before I buy?
Yes. Getcertkey provides a free 1z0-1127-24 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Oracle revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the 1z0-1127-24 exam, and how is my order delivered?
Every Oracle Cloud Infrastructure 2024 Generative AI Professional purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the 1z0-1127-24 exam?
The Oracle Cloud Infrastructure 2024 Generative AI Professional exam blueprint is organized into 4 domains. The first three are:
- Responsible AI and Security — 10% of the exam
- Using OCI Generative AI Service — 45% of the exam
- Building LLM Applications with OCI Generative AI — 35% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions:
Question 1
Which statement is NOT true about StreamlitChatMessageHistory?
A. A given StreamlitChatMessageHistory will not be shared across user sessions.
B. A given StreamlitChatMessageHistory will NOT be persisted.
C. StreamlitChatMessageHistory can be used in any type of LLM application.
D. StreamlitChatMessageHistory will store messages in Streamlit session state at the specified key.
Question 2
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 enables the deployment of multiple fine-tuned models.
C. It limits the number of fine-tuned model deployable on the same GPU cluster.
D. It leads to higher latency in model inference.
Question 3
What distinguishes the Cohere Embed v3 model from its predecessor in the OCI Generative AI service?
A. Support for tokenizing longer sentences
B. Capacity to translate text in over u languages
C. Emphasis on syntactic clustering of word embedding's
D. Improved retrievals for Retrieval Augmented Generation (RAG) systems
Question 4
What is the purpose of Retrieval Augmented Generation (RAG) in text generation?
A. To store text in an external database without using it for generation
B. To generate text using extra information obtained from an external data source
C. To generate text based only on the model's internal knowledge without external data
D. To retrieve text from an external source and present it without any modifications
Question 5
Which statement is true about Fine-tuning and Parameter-Efficient Fine-Tuning (PEFT)?
A. PEFT requires replacing the entire model architecture with a new one designed specifically for the new task, making it significantly more data-intensive than Fine-tuning.
B. Fine-tuning and PEFT do not involve model modification; they differ only in the type of data used for training, with Fine-tuning requiring labeled data and PEFT using unlabeled data.
C. Both Fine-tuning and PEFT require the model to be trained from scratch on new data, making them equally data and computationally intensive.
D. Fine-tuning requires training the entire model on new data, often leading to substantial computational costs, whereas PEFT involves updating only a small subset of parameters, minimizing computational requirements and data needs.
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: D |
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