- A
Amazon Bedrock
Amazon Bedrock provides access to foundation models that can summarize text.
- B
Amazon Rekognition
Why wrong: Amazon Rekognition is for image and video analysis.
- C
Amazon Polly
Why wrong: Amazon Polly converts text to speech.
- D
Amazon Comprehend
Why wrong: Amazon Comprehend performs entity extraction, sentiment analysis, etc., not general summarization.
Question 755 of 1,000
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to automatically summarize customer support tickets into a short paragraph. Which AWS service is MOST appropriate for this task?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Bedrock
Amazon Bedrock provides access to foundation models (FMs) from providers like Anthropic and AI21 that excel at natural language generation tasks, including summarization. By invoking a model such as Claude or Jurassic-2 via Bedrock's API, you can pass the customer support ticket text and receive a concise paragraph summary. This makes Bedrock the most appropriate service for generative summarization.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon Bedrock
Why this is correct
Amazon Bedrock provides access to foundation models that can summarize text.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Rekognition
Why it's wrong here
Amazon Rekognition is for image and video analysis.
- ✗
Amazon Polly
Why it's wrong here
Amazon Polly converts text to speech.
- ✗
Amazon Comprehend
Why it's wrong here
Amazon Comprehend performs entity extraction, sentiment analysis, etc., not general summarization.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Amazon Comprehend's text analysis features (like key phrase extraction) with generative summarization, but Comprehend cannot produce new text; it only extracts or classifies existing content.
Detailed technical explanation
How to think about this question
Amazon Bedrock offers a serverless experience where you can choose from multiple FMs and fine-tune them with your own data. For summarization, you typically use a prompt engineering approach, providing the ticket text and instructing the model to output a short paragraph. Under the hood, the model uses a transformer architecture with attention mechanisms to identify key points and generate coherent, condensed text.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Bedrock — Amazon Bedrock provides access to foundation models (FMs) from providers like Anthropic and AI21 that excel at natural language generation tasks, including summarization. By invoking a model such as Claude or Jurassic-2 via Bedrock's API, you can pass the customer support ticket text and receive a concise paragraph summary. This makes Bedrock the most appropriate service for generative summarization.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.
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