AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A company uses Amazon Bedrock and needs to log all model invocations for audit purposes. The logs must be stored in a central S3 bucket and also sent to CloudWatch Logs for real-time monitoring. Which configuration should they use?
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
✓
Configure Amazon Bedrock model invocation logging to send logs to both S3 and CloudWatch Logs
Bedrock model invocation logging can be configured to send logs to both S3 and CloudWatch Logs simultaneously. This is a built-in feature of Bedrock logging settings.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable Amazon Macie to monitor Bedrock responses
Why it's wrong here
Macie discovers and classifies sensitive data in S3; it neither captures Bedrock invocations nor forwards logs to CloudWatch. It is tempting because it addresses data visibility and audit-adjacent concerns, but the requirement is invocation logging, which Bedrock's own model invocation logging setting provides to S3 and CloudWatch.
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Enable AWS CloudTrail to capture Bedrock API calls and configure CloudTrail logs to S3 and CloudWatch
Why it's wrong here
CloudTrail records control-plane API calls such as InvokeModel metadata, not the full model invocation payloads and responses the audit requires. It is tempting because it delivers logs to both S3 and CloudWatch, but Bedrock model invocation logging must be enabled directly, with its own S3 and CloudWatch destinations configured.
- ✗
Use AWS Lambda to capture responses and write to S3 and CloudWatch
Why it's wrong here
Using AWS Lambda fails because it doesn't natively capture all Amazon Bedrock model invocations for audit purposes; Bedrock provides direct logging capabilities to CloudWatch Logs and S3 via its own configuration or CloudTrail data events. Lambda is tempting as a versatile compute service for custom data processing and integration. It would be appropriate for transforming existing log data after it has been captured, or for implementing custom logic *around* Bedrock invocations, but not as the primary mechanism for comprehensive invocation logging itself.
- ✓
Configure Amazon Bedrock model invocation logging to send logs to both S3 and CloudWatch Logs
Why this is correct
Bedrock's model invocation logging natively supports dual destinations: you enable it once and specify both an S3 bucket for durable audit storage and a CloudWatch Logs group for real-time monitoring. This satisfies the stem's requirement for centralised S3 retention plus live CloudWatch visibility, without custom pipelines or duplicate instrumentation.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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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.