- A
AWS Lambda
Why wrong: Lambda is a serverless compute service, not an FM access layer.
- B
Amazon Bedrock
Bedrock provides access to foundation models from multiple providers through a single API.
- C
Amazon SageMaker
Why wrong: SageMaker is a broader ML platform but does not provide a unified API for multiple third-party FMs.
- D
Amazon Rekognition
Why wrong: Rekognition is for image and video analysis, not generative AI.
Question 229 of 1,000
AIF-C01 Generative AI and Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of generative ai and foundation models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which AWS service provides managed foundation models from providers like Anthropic, Meta, and Stability AI through 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Lambda is a serverless compute service, not an FM access layer.
- ✓
Amazon Bedrock
Why this is correct
Bedrock provides access to foundation models from multiple providers through a single API.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker is a broader ML platform but does not provide a unified API for multiple third-party FMs.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is for image and video analysis, not generative AI.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Detailed technical explanation
How to think about this question
Under the hood, Amazon Bedrock uses a serverless architecture where each foundation model is hosted on optimized inference endpoints, and the service abstracts provider-specific APIs into a consistent InvokeModel or InvokeModelWithResponseStream API. This enables seamless model switching, fine-tuning with custom data via the Bedrock console or SDK, and integration with AWS services like Lambda for event-driven workflows. A real-world scenario is a chatbot application that uses Anthropic Claude for text generation and Stability AI's Stable Diffusion for image creation, all called through the same Bedrock API endpoint.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Generative AI and Foundation Models — This question tests Generative AI and Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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.
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