The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is a hot topic in the IT industry for a reason. Prep4SureReview helps you join the conversation with 66 practice questions and specific analyses.
Oracle 1z0-1127-24 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2024 Generative AI Professional |
| Exam Number: | 1Z0-1127-24 |
| Exam Format: | Multiple Select, Multiple Choice |
| Passing Score: | 68% |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Price: | $245 USD |
| Related Certifications: | Oracle Cloud Infrastructure Certified AI Professional |
| Real Exam Qty: | 60 |
| 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: Oracle Cloud Infrastructure (OCI) Generative AI Service | 25% | - OCI Generative AI service architecture - Service deployment and configuration - Security and access control in OCI Gen AI - Pricing and resource management - Available models and model selection - API usage and integration patterns |
| Topic 2: Introduction to Generative AI | 15% | - Key terminology and vocabulary - Generative AI concepts and definitions - Key components of generative AI systems - Business applications and use cases - History and evolution of generative AI models |
| Topic 3: Prompt Engineering | 20% | - Few-shot and zero-shot prompting techniques - Prompt design principles and best practices - Iterative prompt refinement - Prompt templates and patterns - Prompt optimization for specific tasks - Chain of thought prompting |
| Topic 4: Retrieval Augmented Generation (RAG) | 20% | - Implementing RAG on OCI - Document chunking strategies - Evaluation metrics for RAG systems - RAG architecture and components - Retrieval optimization techniques - Vector databases and embeddings |
| Topic 5: OCI AI Services Integration | 10% | - Integration with OCI Vision - Integration with OCI Language - End-to-end solution architecture - Multi-modal AI capabilities |
| Topic 6: Fine-tuning and Model Customization | 10% | - Model evaluation and validation - Fine-tuning concepts and approaches - Hyperparameter tuning - Fine-tuning with OCI tools - Training data preparation |
1z0-1127-24 Exam FAQ for Serious Candidates
Yes — the free Oracle Cloud Infrastructure 2024 Generative AI Professional demo lets you evaluate question quality and analyses before paying. Purchases include 365 days of free updates, renewable afterward at 50% off.
The Oracle Cloud Infrastructure 2024 Generative AI Professional blueprint spans 6 domains — including Fine-tuning and Model Customization (10%), Oracle Cloud Infrastructure (OCI) Generative AI Service (25%), Introduction to Generative AI (15%). Read the weightings as priorities: the points concentrate where the percentages do. The full outline above covers every subtopic.
The Oracle Cloud Infrastructure 2024 Generative AI Professional is Oracle's exam for the Oracle Cloud Infrastructure certification, a Professional-level credential. It's a hot topic because certified candidates stand out in job competition — the credential opens possibilities that uncertified resumes can't. Related credentials include Oracle Cloud Infrastructure Certified AI Professional.
$245 USD per attempt; 68% to pass. Every retake bills the full fee again, so prepare properly the first time — the 66 practice questions from Prep4SureReview are the affordable rehearsal.
Delivery is instant: payment triggers an automatic email within a minute, and the test engine opens easily without extra software installation. Nothing after 2 hours? Check spam and contact our round-the-clock support. If you fail the corresponding 1z0-1127-24 exam within 60 days of purchase, we give a full refund — send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
90 minutes for 60 questions. That's a pace you can train: run timed simulations in the Prep4SureReview engine until answering at speed feels normal, and use the analyses to make every wrong answer count.
Recommended: Basic knowledge of cloud computing concepts, familiarity with AI/ML fundamentals, and understanding of Oracle Cloud Infrastructure Vendors revise eligibility rules over time, so confirm the current requirements on the official page (official 1z0-1127-24 exam page) before you register.
Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions:
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 Large Language Model based agent that focuses on generating textual responses
- 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 language model that operates on a token-by-token output basis
Correct Answer: B 🗳️
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Which statement describes the difference between Top V and Top p" in selecting the next token in the OCI Generative AI Generation models?
- A. Top k and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.
- B. Top K considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.
- C. Top k and Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.
- D. Top k selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the Top token.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
What does a cosine distance of 0 indicate about the relationship between two embeddings?
- A. They are similar in direction
- B. They have the same magnitude
- C. They are completely dissimilar
- D. They are unrelated
Correct Answer: A 🗳️
How does the Retrieval-Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model's response?
- A. RAG Token retrieves relevant documents for each part of the response and constructs the answer incrementally.
- B. Unlike RAG Sequence, RAG Token generates the entire response at once without considering individual parts.
- C. RAG Token retrieves documents oar/at the beginning of the response generation and uses those for the entire content
- D. RAG Token does not use document retrieval but generates responses based on pre-existing knowledge only.
Correct Answer: A 🗳️
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Which is NOT a built-in memory type in LangChain?
- A. Conversation ImgeMemory
- B. Conversation Token Buffer Memory
- C. Conversation Buffer Memory
- D. Conversation Summary Memory
Correct Answer: A 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
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