easyMultiple Choice
AIF-C01 Practice Question: Which AWS service provides managed foundation…
Which AWS service provides managed foundation models from providers like Anthropic, Meta, and Stability AI through a single API?
⚠ Common exam trap
It's easy for candidates to confuse Amazon Bedrock with Amazon SageMaker, thinking SageMaker also provides managed foundation models, but SageMaker is primarily for custom model training and deployment, not for consuming pre-built third-party FMs via a single API.
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 foundation models (FMs) from leading AI companies such as Anthropic (Claude), Meta (Llama), and Stability AI (Stable Diffusion) through a single, unified API. This allows developers to integrate and experiment with multiple FMs without managing underlying infrastructure or dealing with separate provider endpoints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Lambda
Why it's wrong here
AWS Lambda runs event-driven compute functions; it does not broker access to foundation models. It is tempting because it is a serverless AWS service often used to call AI APIs, and would be correct for hosting the glue code that invokes a model rather than providing the models themselves.
- ✓
Amazon Bedrock
Why this is correct
Amazon Bedrock exposes foundation models from Anthropic, Meta, Stability AI and others through one unified API, satisfying the single-API constraint. It is serverless and managed, so no infrastructure provisioning is needed, unlike SageMaker, which requires deploying and hosting each model separately.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker provides the tooling to train, tune and deploy your own models, but it does not broker third-party foundation models through one unified API. It is tempting because SageMaker JumpStart does host some open-weight models, yet the scenario's requirement for Anthropic, Meta and Stability AI via a single managed endpoint points to Amazon Bedrock.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is a pre-trained computer vision service for image and video labelling, face analysis and moderation; it exposes no text foundation models and no single API spanning Anthropic, Meta or Stability AI. It would be the right pick for detecting objects or faces in uploaded media, not for generating text.
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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.