AIF-C01 Applications of Foundation Models Practice Question
A company wants to classify customer emails into categories (e.g., complaint, inquiry, feedback) using a foundation model. Which approach is MOST efficient?
⚠ Common exam trap
AWS often tests the misconception that any NLP task requires a large language model or custom training in SageMaker, when in fact managed services like Comprehend are optimized for common classification tasks and are more efficient.
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 for custom classification
Amazon Comprehend provides a managed custom classification API that is purpose-built for text classification tasks like categorizing emails. It requires only a small set of labeled data to train a custom classifier, eliminating the need to manage infrastructure or fine-tune large models, making it the most efficient choice for this specific use case.
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 for custom classification
Why this is correct
Comprehend provides a ready-to-use classification API.
- ✗
Train a custom model using Amazon SageMaker
Why it's wrong here
SageMaker requires more effort than using Comprehend.
- ✗
Fine-tune a large language model on labeled emails
Why it's wrong here
Fine-tuning is resource-intensive for simple classification.
- ✗
Use Amazon Lex with a classifier intent
Why it's wrong here
Lex is designed for chatbots, not document classification.
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JA
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.