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Oracle 1z0-1127-24 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2024 Generative AI Professional |
| Exam Number: | 1z0-1127-24 |
| Exam Price: | USD 245 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multi-Response, Multiple Choice |
| Available Languages: | English |
| Passing Score: | 65% |
| Real Exam Qty: | 40-55 |
| Related Certifications: | Oracle Cloud Infrastructure Certifications |
| Certificate Validity Period: | 24 months |
| Recommended Training: | OCI Generative AI Professional Learning Path |
| Exam Registration: | Oracle University Registration Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Topic 1: Responsible AI and Security | 10% | - Data privacy and compliance - Content safety and guardrails - Bias detection and mitigation - Hallucination prevention |
| Topic 2: Building LLM Applications with OCI Generative AI | 35% | - OCI Generative AI Agents and tool use - Deploying, tracing and evaluating LLM applications - Integration with LangChain - Chunking strategies and embedding models - Similarity search and re-ranking - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) architecture |
| Topic 3: Fundamentals of Large Language Models | 20% | - Fine-tuning concepts and methods - Tokenization and embedding vectors - Code models fundamentals - LLM architecture and transformer models - Prompt engineering basics |
| Topic 4: Using OCI Generative AI Service | 45% | - Model versioning and service limits - Dedicated AI clusters for fine-tuning and inference - Inference parameters: temperature, top-p, top-k, max tokens - Endpoints: chat, generate, embed - Core service features and concepts - Foundational models: Cohere, Llama 2, Meta models |
FAQs for Oracle Cloud Infrastructure 2024 Generative AI Professional Candidates
The 1z0-1127-24 exam leads to the Oracle Cloud Infrastructure 2024 Generative AI Professional certification from Oracle. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Oracle Cloud Infrastructure 2024 Generative AI Professional.
Related certifications include:
- Oracle Cloud Infrastructure Certifications
The 1z0-1127-24 exam includes 40-55 questions and allows 90 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for 1z0-1127-24 is 65%, and the official exam fee is USD 245. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No mandatory prerequisites; recommended: basic machine learning/deep learning knowledge, Python familiarity, OCI experience
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored / Onsite test center.
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 66 practice questions for 1z0-1127-24.
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The current 1z0-1127-24 outline is organized into 4 top-level domains. The first listed areas include:
- Fundamentals of Large Language Models (20%)
- Building LLM Applications with OCI Generative AI (35%)
- Responsible AI and Security (10%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions:
Question 1
Which statement is true about string prompt templates and their capability regarding variables?
A. They can only support a single variable at a time.
B. They support any number of variables, including the possibility of having none.
C. They are unable to use any variables.
D. They require a minimum of two variables to function properly.
Question 2
Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?
A. Evaluates the performance metrics of the custom model
B. Hosts the training data for fine-tuning custom model
C. Updates the weights of the base model during the fine-tuning process
D. Serves as a designated point for user requests and model responses
Question 3
Given the following code:
Prompt Template
(input_variable[''rhuman_input",'city''], template-template)
Which statement is true about Promt Template in relation to input_variables?
A. PromptTemplate can support only a single variable M a time.
B. PromptTemplate is unable to use any variables.
C. PromptTemplate requires a minimum of two variables to function property.
D. PromptTemplate supports Any number of variable*, including the possibility of having none.
Question 4
Which is NOT a typical use case for LangSmith Evaluators?
A. Evaluating factual accuracy of outputs
B. Detecting bias or toxicity
C. Measuring coherence of generated text
D. Aliening code readability
Question 5
In LangChain, which retriever search type is used to balance between relevancy and diversity?
A. similarity_score_threshold
B. top k
C. similarity
D. mmr
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: D |
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