Amazon Web Services AWS Certified AI Practitioner Exam AIF-C01 Question # 80 Topic 9 Discussion
AIF-C01 Exam Topic 9 Question 80 Discussion:
Question #: 80
Topic #: 9
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
A.
Configure AWS CloudTrail as the logs destination for the model.
B.
Enable model invocation logging in Amazon Bedrock.
C.
Configure AWS Audit Manager as the logs destination for the model.
D.
Configure model invocation logging in Amazon EventBridge.
The correct answer is B – Enable model invocation logging in Amazon Bedrock. AWS Bedrock provides native functionality to log all model invocations, including input prompts, parameters, and generated outputs, to Amazon CloudWatch Logs or S3. According to AWS documentation, this feature helps developers monitor model usage, analyze errors, and audit for compliance. Unlike CloudTrail or Audit Manager, which record API events and compliance data respectively, invocation logging captures real inference transactions. EventBridge is used for event routing, not persistent log storage. Bedrock’s logging feature ensures complete traceability for debugging, usage analytics, and governance in accordance with Responsible AI principles.
Referenced AWS AI/ML Documents and Study Guides:
Amazon Bedrock Developer Guide – Model Invocation Logging
AWS Responsible AI Documentation – Monitoring and Auditability
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