Applications of Foundation Models Questions
Practice questions for Applications of Foundation Models topic in AWS Certified AI Practitioner. 52 questions covering this domain.
Which inference parameter is commonly adjusted to make model responses more or less varied?
What does Retrieval-Augmented Generation do?
A company wants a fully managed AWS capability for end-to-end RAG, including ingestion, retrieval, prompt augmentation, and source citations from priv...
A prompt is producing vague and inconsistent results because it lacks context and output instructions. Which best practice should improve results firs...
A product manager wants users to see where generated answers came from so they trust the output more. Which capability is most relevant?
A company needs a customer-facing assistant that supports five languages and must meet strict latency targets. Which model selection approach is best?
A team plans to fine-tune a foundation model with internal documents. Which data preparation approach is most aligned with official guidance?
A business analyst wants a model to work through a complex problem in smaller logical steps before answering. Which prompt engineering technique best ...
A public-facing assistant is being targeted with prompt injection and jailbreak attempts. Which AWS-aligned control should the team add first?
A knowledge assistant must answer with current internal policy information that changes often, and the company wants a cost-effective approach without...
A team wants to store embeddings using an AWS managed search service named in the exam guide. Which service is the best fit?
A travel assistant must break a request into steps, call tools, and complete actions across systems. Which concept best describes this design?
Which prompt engineering technique provides a model with a small number of examples to guide the expected response pattern?
A team is comparing two summarization models for production use. Which evaluation approach is most aligned with AWS guidance?
Which Amazon Bedrock customization approach trains a base model further on large unlabeled domain text to deepen domain knowledge before any task-spec...
Which AWS database option supports vector storage for RAG using the pgvector extension?
A team wants reusable, parameterized prompts so application code can fill in variables without rewriting prompt logic each time. Which prompt engineer...
An assistant returns answers that are off-topic when the retrieved context is too long and noisy. Which RAG-aligned change should be tried first?
Which evaluation metric is commonly used to measure the quality of automatic summarization by comparing generated text to reference summaries?
A company needs the foundation model to follow strict output formatting (JSON) and refuse out-of-scope requests. Which combination is most aligned wit...
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