A financial services company must calculate the exact interest accrued on each customer account daily. The calculation is defined by regulatory formulas and must be identical every time. Should they use machine learning?

Yes, use a regression model to predict interest based on historical data

No, use a deterministic rule-based calculation instead

No, use a foundation model to generate the interest amounts

Yes, use a classification model to categorize accounts by interest rate

A company wants to use AI to assist customer service agents by automatically suggesting relevant responses during live chats. Which benefit does this use case primarily demonstrate?

Assisting human decision-making by providing real-time suggestions

Eliminating the need for human agents in all customer interactions

Automating the entire customer service process without human involvement

Reducing the need for data collection during customer interactions

A retail company wants to predict next month's sales for each store based on historical sales data, seasonality, and local economic indicators. Which ML technique is most appropriate?

Clustering to group stores with similar sales patterns

Classification to label stores as high, medium, or low sales

Anomaly detection to identify unusual sales spikes

Regression to predict a continuous sales value

A company wants to use AI to predict which employees are likely to leave within the next year. They have HR data including performance reviews, tenure, and salary. However, the data is incomplete and biased. What should they consider?

Use a rule-based system to flag at-risk employees

Use a clustering algorithm to group employees

Use a traditional ML model, but be aware of bias and data quality issues

Use a foundation model to generate predictions

AWSCertified AI Practitioner

Domain 1Objective 2

Task Statement 1.2: Identify Practical Use Cases for AI. AIF-C01 Practice Questions (Page 6)

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 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

6concepts

Questions 26–30

26application · medium
A financial services company must calculate the exact interest accrued on each customer account daily. The calculation is defined by regulatory formulas and must be identical every time. Should they use machine learning?
Select an answer first
27application · easy
A manufacturing company wants to use AI to detect defective products on an assembly line by analyzing images. Which AI application is most appropriate?
Select an answer first
28foundation · easy
A company wants to use AI to assist customer service agents by automatically suggesting relevant responses during live chats. Which benefit does this use case primarily demonstrate?
Select an answer first
29application · medium
A retail company wants to predict next month's sales for each store based on historical sales data, seasonality, and local economic indicators. Which ML technique is most appropriate?
Select an answer first
30expert · hard
A company wants to use AI to predict which employees are likely to leave within the next year. They have HR data including performance reviews, tenure, and salary. However, the data is incomplete and biased. What should they consider?
Select an answer first

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