AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A company wants to log all model invocation requests in Amazon Bedrock for audit and troubleshooting. Which TWO destinations can they configure for invocation logging? (Choose 2)
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 CloudWatch Logs
Amazon Bedrock invocation logging supports two destination types: Amazon CloudWatch Logs (option A) and Amazon S3 (option B). Option A is correct because Bedrock can deliver text and image invocation logs to a CloudWatch Logs log group, enabling real-time monitoring and troubleshooting via CloudWatch. Option B is correct because Bedrock can also deliver invocation logs to an S3 bucket for durable, long-term audit storage and later analysis. Option C is incorrect because DynamoDB is not a supported invocation logging destination for Bedrock. Option D is incorrect because CloudTrail records API activity/management events, not the model invocation request/response payloads that invocation logging captures. Option E is incorrect because Kinesis Data Firehose is not a configurable destination for Bedrock invocation logging.
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 CloudWatch Logs
Why this is correct
Amazon CloudWatch Logs is a supported destination for Bedrock model invocation logging, satisfying the audit and troubleshooting requirement. It captures text, image, and embedding invocation data as log events, enabling near-real-time querying and retention policies for compliance reviews.
- ✓
Amazon S3
Why this is correct
Amazon S3 is one of the two supported destinations for Bedrock model invocation logging, storing the request and response payloads as objects for later audit and troubleshooting. Configuring it satisfies the stem's requirement to log all invocation requests to a durable, queryable location.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a key-value database, not a supported Bedrock invocation logging destination; Bedrock writes to CloudWatch Logs or Amazon S3 only. DynamoDB would be correct where structured records need low-latency lookups, such as storing conversation state or session metadata.
- ✗
AWS CloudTrail
Why it's wrong here
CloudTrail records control-plane API activity such as management events, not the request and response bodies of model invocations. It would be correct for auditing who called Bedrock APIs. Invocation logging itself delivers payloads to CloudWatch Logs or Amazon S3.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Bedrock invocation logging supports only Amazon CloudWatch Logs and Amazon S3 as destinations; Kinesis Data Firehose is not configurable for it. Firehose suits streaming data into analytics or storage pipelines, and would be the right answer for a question about streaming ingestion rather than Bedrock's native logging targets.
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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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.