AWSCertified AI Practitioner
Domain 1Objective 1
Task Statement 1.1: Explain Basic AI Concepts and Terminologies. AIF-C01 Practice Questions (Page 1)
Part of the Content Domain 1: Fundamentals of AI and ML domain, which makes up ~20% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–12 in this domain), expect 2–4 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)
20questions here
4free pages
5concepts
Questions 1–5
- 1
A bank wants to build a model to detect fraudulent transactions. The bank has historical data with transactions labeled as 'fraudulent' or 'legitimate'. Which type of learning should be used?
Select an answer first - 2
Which AI term describes the phenomenon where a model performs well on training data but fails to generalize to new, unseen data?
Select an answer first - 3
A team is developing a system that can understand and respond to customer support tickets. They plan to use a model that has been pre-trained on a large corpus of text and can generate human-like responses. Which term best describes this type of model?
Select an answer first - 4
A research team is analyzing customer reviews to identify common themes and sentiments. The dataset consists of text reviews without any predefined categories. Which type of data is this?
Select an answer first - 5
Which type of data is characterized by having a predefined structure, such as rows and columns in a database table?
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