Oracle Cloud Infrastructure 2025 Generative AI Professional Intermediate Practice Exam: Medium Difficulty 2025

A data scientist is fine-tuning a large language model in OCI Generative AI Service for a customer service chatbot. The model performs well on general queries but struggles with company-specific terminology and product names. Which approach would be MOST effective to address this issue while maintaining the model's general language capabilities?

An enterprise application uses OCI Generative AI Service to generate summaries of legal documents. The security team requires that all sensitive customer data must remain within the organization's tenancy and should not be used to train Oracle's foundation models. Which OCI Generative AI Service feature should the architect implement?

A developer is building a RAG (Retrieval-Augmented Generation) application using OCI Generative AI Service. The application retrieves relevant documents from a vector database and then generates responses. During testing, the model sometimes generates information that contradicts the retrieved documents. What is the BEST approach to minimize this hallucination issue?

An organization wants to implement a text classification system using OCI Generative AI Service to categorize customer feedback into predefined categories. They have 50,000 labeled examples. Which approach would be MOST cost-effective while maintaining good accuracy?

A generative AI model produces different outputs each time it's called with the same prompt. The development team needs consistent, reproducible outputs for their automated testing pipeline. Which combination of parameters should they configure?

A company is implementing a content moderation system for user-generated posts using OCI Generative AI Service. They need to detect potentially harmful content before publication while minimizing false positives that would block legitimate content. Which architectural approach would BEST balance safety and usability?

An application team is using OCI Generative AI Service to generate product descriptions. They notice that token consumption is higher than expected, impacting costs. Upon investigation, they find the model often generates verbose descriptions with repetitive information. Which combination of parameters should they adjust to reduce token usage while maintaining description quality?

A healthcare organization is evaluating the use of generative AI for clinical documentation assistance. They must comply with HIPAA regulations and maintain an audit trail of all AI interactions. Which governance practices should they implement in their OCI Generative AI Service deployment?

A development team is building a multilingual customer support chatbot using OCI Generative AI Service. The chatbot must understand customer queries in multiple languages and respond in the same language as the query. Which approach would provide the BEST user experience with optimal performance?

An organization has fine-tuned a model in OCI Generative AI Service for generating technical documentation. After deployment, they discover the model occasionally produces outdated information based on the training data cutoff. They need to provide current information without retraining. What is the MOST practical solution?