AIF-C01 Fundamentals of Generative AI Practice Question
A company operates in a region where Amazon Bedrock is not available. They want to use generative AI but must keep data within the country. Which solution should they consider?
⚠ Common exam trap
A common mix-up: candidates assume Bedrock is the only AWS generative AI service, overlooking SageMaker's capability to host open-source models, which is a common misconception tested in the AIF-C01 exam.
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
✓
Use Amazon SageMaker to host an open-source model in the local region.
Amazon SageMaker allows you to host open-source models (e.g., Llama 2, Falcon) in any AWS region, including those where Bedrock is unavailable. This satisfies the data residency requirement because the model and data never leave the local region. SageMaker provides full control over the infrastructure, enabling compliance with local data sovereignty laws.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon SageMaker to host an open-source model in the local region.
Why this is correct
SageMaker lets you host an open-source model on instances inside the local region, so training and inference data never leave the country. This satisfies the data-residency constraint that rules out Amazon Bedrock, which is unavailable there.
- ✗
Wait for Bedrock to become available in their region; there is no alternative.
Why it's wrong here
Waiting indefinitely provides no generative AI capability and ignores available in-country alternatives, so it fails the requirement to deliver a working solution. It is tempting because it avoids any residency risk, and would be correct only if no compliant option existed and the company could defer the project entirely.
- ✗
Use Amazon Bedrock in the nearest available region with cross-region inference.
Why it's wrong here
Cross-region inference routes prompts and data outside the country, breaching the residency requirement. It is tempting because cross-region inference expands model availability and throughput when a model is missing locally, and would be correct if the constraint were capacity or model choice rather than data staying in-country.
- ✗
Use an API from a third-party generative AI provider with AWS PrivateLink.
Why it's wrong here
A third-party provider's API processes prompts on infrastructure outside the country, so data leaves the required jurisdiction regardless of PrivateLink. It is tempting because PrivateLink secures the network path privately, and would be correct if the requirement were private connectivity rather than in-country data residency.
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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.