Free Oracle Cloud Infrastructure 2025 Generative AI Professional Practice Test

What is the primary difference between traditional machine learning models and large language models (LLMs) used in generative AI?

A healthcare organization wants to use OCI Generative AI Service to analyze patient records and generate clinical summaries. What is the MOST important security consideration they should implement?

Which component of the transformer architecture is primarily responsible for enabling the model to understand the relationships between different words in a sequence?

Your development team is building a chatbot using OCI Generative AI Service. They notice that the model sometimes generates plausible-sounding but factually incorrect responses. Which technique should they implement to mitigate this issue?

When using OCI Generative AI Service, what is the purpose of the 'embedding' endpoint?

A financial services company needs to fine-tune a foundation model on their proprietary financial documents while ensuring the base model's general capabilities are preserved. Which approach should they use?

What is the primary purpose of 'prompt engineering' in generative AI applications?

An e-commerce company is implementing a product description generator using OCI Generative AI Service. They need to ensure consistent output format across thousands of products. Which parameter combination would be MOST appropriate?

Which OCI service should be used in conjunction with Generative AI Service to implement a vector database for semantic search capabilities in a RAG architecture?

What does the 'context window' refer to in the context of large language models?

A company is deploying a generative AI application that must comply with data residency requirements. Which OCI Generative AI Service feature ensures their data remains within their specified geographic region?

When implementing a custom model endpoint in OCI Generative AI Service, which configuration provides the BEST balance between cost optimization and performance for variable workload patterns?

Your organization wants to evaluate different foundation models available in OCI Generative AI Service for a text summarization task. What is the recommended approach?

In a RAG implementation, what is the primary purpose of chunking documents before creating embeddings?

Which technique is MOST effective for preventing prompt injection attacks in generative AI applications?

A development team notices their generative AI application's responses have become slower over time. Investigation reveals the prompt context has grown significantly with conversation history. What is the BEST optimization strategy?

What is 'few-shot learning' in the context of prompt engineering for large language models?

An organization needs to implement content moderation for their customer-facing generative AI application. Which approach should they implement?

When fine-tuning a foundation model in OCI Generative AI Service, what is the minimum recommended dataset size to achieve meaningful improvements for most use cases?

Which monitoring metric is MOST important for detecting potential hallucinations or quality degradation in production generative AI applications?