AIF-C01 Applications of Foundation Models Practice Question
A company wants to automatically summarize customer support tickets into a short paragraph. Which AWS service is MOST appropriate for this task?
⚠ Common exam trap
Candidates often 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.
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.
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 offers access to foundation models that perform abstractive summarisation, condensing ticket text into a short paragraph. It provides a managed, serverless API without infrastructure management, making it the most appropriate service for this natural language generation task.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition analyses images and video for objects, faces, and labels; it cannot process ticket text into a summary. It is tempting as an AI service, but it is the right choice for content moderation or facial analysis on visual media, not for summarising written support tickets.
- ✗
Amazon Polly
Why it's wrong here
Polly converts text into lifelike speech, producing audio rather than condensed text, so it cannot generate a summary paragraph. It is tempting because it is a text-oriented AI service, but it is the right choice when the requirement is voice output for accessibility or narration.
- ✗
Amazon Comprehend
Why it's wrong here
Comprehend performs entity, sentiment, and key-phrase extraction, but it does not generate abstractive summaries of ticket text. It is tempting because it analyses natural-language documents, yet it is correct for classification and insight extraction, not for producing a short rewritten paragraph.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.