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 is available in all regions and allows full control over data residency.
- ✗
Wait for Bedrock to become available in their region; there is no alternative.
Why it's wrong here
SageMaker is a viable alternative.
- ✗
Use Amazon Bedrock in the nearest available region with cross-region inference.
Why it's wrong here
Cross-region inference would move data out of the country.
- ✗
Use an API from a third-party generative AI provider with AWS PrivateLink.
Why it's wrong here
Third-party API still sends data to external servers.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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