easyMultiple Choice
AIF-C01 Practice Question: Which AWS service allows teams to collaborate on…
Which AWS service allows teams to collaborate on building generative AI applications with a visual interface, share prompts, and manage prompt versions?
⚠ Common exam trap
AWS exams often test the distinction between a single-user testing tool (Playground) and a collaborative development environment (Studio), leading candidates to mistakenly choose Amazon Bedrock Playground because they overlook the 'team collaboration' and 'version management' keywords.
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 Studio
Amazon Bedrock Studio is the correct service because it provides a visual interface specifically designed for teams to collaborate on building generative AI applications. It allows users to share prompts, manage prompt versions, and iterate on foundation model configurations in a team-based environment, directly matching the question's requirements.
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 Playground
Why it's wrong here
The Playground offers a console for experimenting with foundation models and comparing outputs, but it does not provide shared prompt libraries, version control, or team collaboration workspaces. It is tempting because it is the visual Bedrock interface, yet Amazon Bedrock Studio is the service that adds collaborative prompt management.
- ✓
Amazon Bedrock Studio
Why this is correct
Amazon Bedrock Studio provides a browser-based visual workspace where teams build generative AI applications, experiment with and share prompts, and manage prompt versions collaboratively. This directly satisfies the stem's requirements for a visual interface, prompt sharing and version management.
- ✗
AWS CodeCommit
Why it's wrong here
CodeCommit is a managed Git repository for storing and versioning source code, not prompts or generative AI application components. It is tempting because it does version artefacts and supports team collaboration, but it lacks a visual generative AI builder and prompt-sharing interface, which the scenario requires.
- ✗
Amazon SageMaker Studio
Why it's wrong here
SageMaker Studio is an IDE for notebooks, training and model development, not a visual generative AI builder with prompt sharing and versioning. It is tempting because it hosts generative AI work, and it would be correct for developing and deploying custom models rather than managing prompts collaboratively.
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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.