A legal firm wants to use AI to summarize large volumes of case documents. The firm has no labeled data and needs the summaries to be in natural language. Which approach is most appropriate?

A foundation model for text summarization

A regression model to predict document length

A traditional classification model to categorize documents

A clustering algorithm to group similar documents

A company wants to build a system that can generate marketing copy for a variety of products with minimal training data. Which approach is most suitable?

A clustering algorithm to group similar marketing copy

A traditional ML model trained on a small dataset of marketing copy

A regression model to predict the best marketing copy

A foundation model that can generate text from prompts

A company wants to automatically transcribe customer service calls and then analyze the sentiment of each call. Which AWS services should they use?

Amazon Polly and Amazon Translate

Amazon Lex and Amazon Rekognition

Amazon Transcribe and Amazon Comprehend

Amazon Textract and Amazon Comprehend

A small business wants to predict whether a customer will churn in the next month. The cost of building and maintaining an ML model is high, and the business has only a few hundred customers. Why might this be an inappropriate use of AI/ML?

The cost-benefit trade-off is unfavorable because the potential savings are low relative to the model's cost

The business lacks a cloud provider to run the model

The data is too structured for ML algorithms

The task requires deterministic outcomes, not predictions

AWSCertified AI Practitioner

Domain 1Objective 2

Task Statement 1.2: Identify Practical Use Cases for AI. AIF-C01 Practice Questions (Page 2)

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 6–10

6application · medium
A bank wants to detect fraudulent credit card transactions in real time. They have historical transaction data labeled as fraudulent or legitimate. Which ML technique is most appropriate?
Select an answer first
7expert · hard
A legal firm wants to use AI to summarize large volumes of case documents. The firm has no labeled data and needs the summaries to be in natural language. Which approach is most appropriate?
Select an answer first
8foundation · easy
A company wants to build a system that can generate marketing copy for a variety of products with minimal training data. Which approach is most suitable?
Select an answer first
9application · medium
A company wants to automatically transcribe customer service calls and then analyze the sentiment of each call. Which AWS services should they use?
Select an answer first
10foundation · easy
A small business wants to predict whether a customer will churn in the next month. The cost of building and maintaining an ML model is high, and the business has only a few hundred customers. Why might this be an inappropriate use of AI/ML?
Select an answer first

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