AWSCertified AI Practitioner
Domain 3Objective 4
Task Statement 3.4: Describe Methods to Evaluate FM Performance. AIF-C01 Practice Questions (Page 2)
Part of the Content Domain 3: Applications of Foundation Models domain, which makes up ~32% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 40 practice questions to prepare you well beyond it. (estimate)
40questions here
8free pages
14concepts
Questions 6–10
- 6
An e-commerce company has deployed a chatbot that helps customers track orders and process returns. They want to measure how often the chatbot successfully resolves a customer's issue without escalation to a human agent. Which metric should they track?
Select an answer first - 7
Which of the following is a common method to measure user satisfaction with an AI application?
Select an answer first - 8
Which metric is best suited for evaluating text generation when semantic similarity is more important than exact word overlap?
Select an answer first - 9
A media company has launched an AI-powered news summarization feature. They want to know if users find the summaries useful and engaging. They have access to user interaction data and can send surveys. Which approach should they use to measure user satisfaction?
Select an answer first - 10
Which aspect of foundation model outputs is most likely to require human-in-the-loop evaluation rather than automated metrics?
Select an answer first
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