SCS-C02 Security Logging and Monitoring Practice Question
A company uses AWS CloudTrail and wants to ensure that any modification to the trail itself is detected immediately. What should be done?
⚠ Common exam trap
Candidates often confuse monitoring the trail's log files (S3 events) with monitoring the trail's configuration (CloudTrail API calls), leading them to choose Option D instead of the correct CloudWatch Events approach.
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
✓
Create a CloudWatch Events rule that matches the StopLogging or UpdateTrail API calls and sends an alert
CloudWatch Events (now part of Amazon EventBridge) can be configured with a rule that matches specific API calls like StopLogging or UpdateTrail via CloudTrail. When such an API call is made, the rule triggers an action such as sending an SNS notification or invoking a Lambda function, enabling immediate detection of trail modifications. This approach directly monitors the control plane operations that alter the trail's configuration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure Amazon GuardDuty to monitor for trail modifications
Why it's wrong here
Amazon GuardDuty consumes CloudTrail management and S3 data events to detect threats like credential exfiltration or malicious API activity, but it does not inspect or alert on the configuration state of the CloudTrail service itself. An attacker who disables a trail via StopLogging would not generate a GuardDuty finding, because GuardDuty treats CloudTrail's own control-plane calls as data rather than as a signal to act on. Consequently, this approach leaves the trail modification unnoticed.
- ✗
Enable CloudTrail Insights to detect unusual activity
Why it's wrong here
CloudTrail Insights uses machine learning to detect anomalous write API activity by establishing baseline patterns of your account's normal behavior, not to react to administrative configuration changes. A single StopLogging or UpdateTrail call is an expected, low-volume management event that would not be flagged as an anomaly, and Insights must be enabled on the trail itself, so if the trail is stopped, insight monitoring also stops. Thus, it fails to provide the immediate, deterministic alert required for trail integrity.
- ✓
Create a CloudWatch Events rule that matches the StopLogging or UpdateTrail API calls and sends an alert
Why this is correct
The correct solution is a CloudWatch Events rule (now Amazon EventBridge) that matches the management events CloudTrail emits for the StopLogging, UpdateTrail, or DeleteTrail API calls, using an event pattern with source 'aws.cloudtrail' and eventName in the list. When such a call occurs, the rule triggers an SNS topic or Lambda function to notify security teams in near real-time. This works because CloudTrail delivers every management event to CloudWatch Events as a default integration, including the very call that disables logging.
- ✗
Enable S3 event notifications on the trail's S3 bucket
Why it's wrong here
S3 event notifications on the trail's bucket are configured for s3:ObjectCreated and similar object-level events, so they only fire when new log files are delivered, not when a trail's configuration is altered. If an attacker calls StopLogging or UpdateTrail, no new object lands in the bucket, so no notification is sent; moreover, such calls are control-plane operations outside S3's data path. This approach also generates substantial noise from normal log delivery and can be bypassed simply by redirecting the trail to another bucket.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SCS-C02 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 SCS-C02 exam.