AIF-C01 Applications of Foundation Models Practice Question
A company wants to use a pre-trained foundation model for sentiment analysis without any customization. Which Amazon Machine Learning service provides access to foundation models via API?
⚠ Common exam trap
AWS often tests the distinction between a service that provides access to foundation models (Bedrock) and a service that offers a pre-built, non-customizable ML capability (Comprehend), leading candidates to mistakenly choose Comprehend because it also handles sentiment analysis.
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 is a fully managed service that provides access to a wide range of pre-trained foundation models (FMs) from leading AI providers like Anthropic, Meta, and Amazon via a unified API. For sentiment analysis, you can invoke an FM such as Anthropic Claude or Meta Llama directly through the Bedrock API without any customization, making it the correct choice for this 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.
- ✓
Amazon Bedrock
Why this is correct
Amazon Bedrock supplies serverless API access to pre-trained foundation models from providers such as Anthropic and Amazon, so no model training or hosting is needed. This directly satisfies the stem's constraint of using a foundation model for sentiment analysis without customisation, unlike services requiring you to build or fine-tune your own model.
- ✗
Amazon Textract
Why it's wrong here
Amazon Textract extracts text, forms, and tables from scanned documents via OCR; it offers no foundation-model inference endpoint. It is tempting as a managed document-AI API, and would be correct for digitising invoices or forms, but the stem needs a foundation model serving sentiment predictions, which Amazon Bedrock supplies.
- ✗
Amazon Comprehend
Why it's wrong here
Amazon Comprehend is a pre-built NLP service exposing fixed sentiment, entity, and key-phrase APIs, not a foundation-model endpoint. It is tempting because it performs sentiment analysis directly, and would suit a team wanting turnkey sentiment without model access — but the stem requires foundation models via API, which Amazon Bedrock provides.
- ✗
Amazon Rekognition
Why it's wrong here
Amazon Rekognition analyses images and video for objects, faces, and moderation labels; it exposes no foundation-model text API. It is tempting because it is a managed AI service with simple API calls, and would be correct for image-based content classification, but sentiment analysis of text falls outside its modality.
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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.