AIF-C01 Fundamentals of AI and ML Practice Question
A marketing agency wants to analyze customer feedback from social media posts to gauge sentiment. They have no labeled data and limited ML expertise. The team needs a managed service that provides pre-trained models for sentiment analysis without requiring them to train or manage infrastructure. They also need to process text in multiple languages. Which AWS service should they use?
⚠ Common exam trap
Test-takers frequently confuse Amazon Rekognition (image/video analysis) with text analysis services, or assume that any AWS ML service (like SageMaker or Glue) can handle NLP tasks without recognizing the specific managed service designed for unstructured text.
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
✓
Use Amazon Comprehend with its default sentiment analysis model
Amazon Comprehend is a fully managed natural language processing (NLP) service that provides pre-trained models for sentiment analysis, key phrase extraction, and language detection. It requires no labeled data, no model training, and no infrastructure management, making it ideal for teams with limited ML expertise. Comprehend natively supports multiple languages, including Spanish, French, German, and many others, directly addressing the requirement to process text in multiple languages.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon Comprehend with its default sentiment analysis model
Why this is correct
Comprehend provides pre-trained models that work out of the box for sentiment analysis.
- ✗
Use Amazon SageMaker to train a custom sentiment analysis model
Why it's wrong here
This requires labeled data and ML expertise, which they lack.
- ✗
Use AWS Glue to build a custom NLP pipeline
Why it's wrong here
Glue is an ETL service, not designed for natural language processing.
- ✗
Use Amazon Rekognition for text analysis
Why it's wrong here
Amazon Rekognition is designed for image and video analysis, not text-based sentiment analysis, so it cannot process social media posts for sentiment across multiple languages. It is tempting because its name suggests general-purpose recognition capabilities, and it would be correct for analysing visual content such as customer photos or video feeds to detect objects or faces.
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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.