easyMultiple Choice
AIF-C01 Practice Question: Which AWS service provides access to a wide…
Which AWS service provides access to a wide variety of foundation models from different providers through a single API, without managing underlying infrastructure?
⚠ Common exam trap
Many candidates confuse Amazon Bedrock with Amazon SageMaker, assuming SageMaker's JumpStart or built-in algorithms provide similar multi-model API access, but SageMaker requires explicit model deployment and infrastructure management, whereas Bedrock is purpose-built for serverless foundation model access.
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 variety of foundation models (FMs) from leading AI providers such as Anthropic, Meta, Stability AI, and Amazon itself through a single API. It eliminates the need to manage underlying infrastructure, such as GPU clusters or model hosting, allowing developers to integrate generative AI capabilities directly into applications.
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 SageMaker
Why it's wrong here
SageMaker is a platform for building, training, and deploying your own models, requiring you to manage endpoints and infrastructure rather than offering third-party foundation models through one API. It is tempting because SageMaker does host foundation models, and would be correct when you need custom training or fine-tuning.
- ✗
AWS Lambda
Why it's wrong here
Lambda runs event-driven code and integrates with Bedrock, but it is a compute service, not a catalogue exposing foundation models from multiple providers via a single API. It is tempting because Lambda is serverless and often used to call models, and would be correct for orchestrating inference requests in response to events.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition provides pre-trained computer vision capabilities such as image and video analysis, not text foundation models from multiple providers. It is tempting because it is a managed AI service requiring no infrastructure, and would be correct when the requirement is facial analysis, object detection, or content moderation on images.
- ✓
Amazon Bedrock
Why this is correct
Amazon Bedrock exposes foundation models from multiple providers — including Anthropic, Meta and Amazon — through one unified API, removing the need to provision or manage servers. This directly satisfies the stem's requirement for single-API, multi-provider model access without underlying infrastructure management.
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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.