Master the Oracle Cloud Infrastructure 2025 Generative AI Professional exam with our comprehensive Q&A collection. Review questions by topic, understand explanations, and build confidence for exam day.
Strategies to help you tackle Oracle Cloud Infrastructure 2025 Generative AI Professional exam questions effectively
Allocate roughly 1-2 minutes per question. Flag difficult questions and return to them later.
Pay attention to keywords like 'MOST', 'LEAST', 'NOT', and 'EXCEPT' in questions.
Use elimination to narrow down choices. Often 1-2 options can be quickly ruled out.
Focus on understanding why answers are correct, not just memorizing facts.
Practice with real exam-style questions for Oracle Cloud Infrastructure 2025 Generative AI Professional
Option B is correct because LLMs are characterized by being pre-trained on vast amounts of data and their ability to generate novel content (text, code, etc.), whereas traditional ML models are typically trained for specific classification or regression tasks. Option A is incorrect as LLMs can be multimodal and traditional ML can also process text. Option C is incorrect as LLMs generally require more resources. Option D is incorrect as LLMs can definitely be fine-tuned.
Option B is correct because healthcare data requires strict privacy controls. OCI Generative AI Service provides data isolation where customer data is not used to train foundation models and remains within their tenancy, which is critical for HIPAA compliance. Option A is incorrect as it creates unnecessary security risks. Option C is incorrect as shared endpoints may not provide adequate data isolation. Option D is incorrect as encryption is mandatory for healthcare data.
Option B is correct because the self-attention mechanism allows the model to weigh the importance of different words in relation to each other, capturing contextual relationships regardless of distance in the sequence. Option A (feedforward network) processes information but doesn't create relationships. Option C (positional encoding) adds position information but doesn't create relationships. Option D (softmax) is used for output probabilities.
Option B is correct because RAG combines the generative capabilities of LLMs with information retrieval from trusted knowledge bases, significantly reducing hallucinations by grounding responses in factual data. Option A is incorrect as higher temperature increases randomness and potentially more hallucinations. Option C doesn't address factual accuracy. Option D is incorrect as few-shot prompting typically improves accuracy.
Option B is correct because embedding endpoints transform text into dense vector representations that capture semantic meaning, enabling applications like semantic search, clustering, and similarity matching. Option A is incorrect as embeddings don't compress models. Option C is incorrect as embeddings aren't an encryption method. Option D is incorrect as embeddings specifically convert text to vectors, not combine modalities.
Review Q&A organized by exam domains to focus your study
25% of exam • 3 questions
What is the primary purpose of Generative AI Fundamentals in Cloud Computing?
Generative AI Fundamentals serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Oracle solutions. Understanding this domain is crucial for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification.
Which best practice should be followed when implementing Generative AI Fundamentals?
When implementing Generative AI Fundamentals, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Generative AI Fundamentals integrate with other Oracle services?
Generative AI Fundamentals integrates seamlessly with other Oracle services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
30% of exam • 3 questions
What is the primary purpose of OCI Generative AI Service in Cloud Computing?
OCI Generative AI Service serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Oracle solutions. Understanding this domain is crucial for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification.
Which best practice should be followed when implementing OCI Generative AI Service?
When implementing OCI Generative AI Service, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does OCI Generative AI Service integrate with other Oracle services?
OCI Generative AI Service integrates seamlessly with other Oracle services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
25% of exam • 3 questions
What is the primary purpose of AI Integration and Development in Cloud Computing?
AI Integration and Development serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Oracle solutions. Understanding this domain is crucial for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification.
Which best practice should be followed when implementing AI Integration and Development?
When implementing AI Integration and Development, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does AI Integration and Development integrate with other Oracle services?
AI Integration and Development integrates seamlessly with other Oracle services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
20% of exam • 3 questions
What is the primary purpose of Security, Governance, and Best Practices in Cloud Computing?
Security, Governance, and Best Practices serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Oracle solutions. Understanding this domain is crucial for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification.
Which best practice should be followed when implementing Security, Governance, and Best Practices?
When implementing Security, Governance, and Best Practices, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Security, Governance, and Best Practices integrate with other Oracle services?
Security, Governance, and Best Practices integrates seamlessly with other Oracle services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
After reviewing these questions and answers, challenge yourself with our interactive practice exams. Track your progress and identify areas for improvement.
Common questions about the exam format and questions
The Oracle Cloud Infrastructure 2025 Generative AI Professional exam typically contains 50-65 questions. The exact number may vary, and not all questions may be scored as some are used for statistical purposes.
The exam includes multiple choice (single answer), multiple response (multiple correct answers), and scenario-based questions. Some questions may include diagrams or code snippets that you need to analyze.
Questions are weighted based on the exam domain weights. Topics with higher percentages have more questions. Focus your study time proportionally on domains with higher weights.
Yes, most certification exams allow you to flag questions for review and return to them before submitting. Use this feature strategically for difficult questions.
Practice questions are designed to match the style, difficulty, and topic coverage of the real exam. While exact questions won't appear, the concepts and question formats will be similar.
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