SCS-C02 Management and Security Governance Practice Question
Which THREE are benefits of using AWS CloudTrail for security governance? (Choose three.)
⚠ Common exam trap
SCS-C02 often tests CloudTrail benefits, and candidates may incorrectly select real-time analysis or automatic remediation, which are not native CloudTrail features.
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
✓
Supports compliance audits by providing event history
Option C is correct because CloudTrail retains a searchable history of management and data events that auditors can use to demonstrate who did what and when, satisfying compliance audit requirements. Option D is correct because CloudTrail's core function is to record AWS API activity (management events, and optionally data and insight events) in the account and deliver them as log files to Amazon S3 and/or CloudWatch Logs. Option E is correct because those API activity records include the identity (IAM user, role, federated user) and source IP, enabling security teams to analyze user behavior and detect anomalous or unauthorized actions. Option A is not correct as stated because CloudTrail itself does not perform real-time log analysis; it can deliver events to CloudWatch Logs, but the analysis is done by CloudWatch Logs metric filters/alarms, not by CloudTrail. Option B is not correct because CloudTrail is an auditing and logging service and does not automatically remediate noncompliant resources; remediation requires services such as AWS Config rules with remediation actions or Lambda-based automation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enables real-time log analysis with Amazon CloudWatch Logs
Why it's wrong here
CloudTrail itself does not provide real-time log analysis; it records and stores API activity and can optionally stream events to Amazon CloudWatch Logs. Near-real-time analysis is only possible after an administrator creates CloudWatch Logs metric filters and alarms, or configures Amazon EventBridge rules, to react to specific events. The analysis capability is therefore a result of those integrations, not a feature of CloudTrail itself.
- ✗
Automatically remediates noncompliant resources
Why it's wrong here
CloudTrail is an API logging service, not a remediation engine. It records API calls for governance and security, but acting on noncompliant resources is handled by services such as AWS Config, which can invoke Systems Manager Automation documents to remediate deviations. CloudTrail can only feed events into Amazon EventBridge to trigger a separate automation workflow, so it does not autonomously remediate resources.
- ✓
Supports compliance audits by providing event history
Why this is correct
CloudTrail’s event history is designed as a durable, tamper-evident record of account activity, which auditors can use as evidence for compliance controls. It captures management events for 90 days in the console and can deliver to S3 or CloudTrail Lake for long-term retention, enabling organizations to satisfy audit requirements across frameworks like SOC 2, PCI DSS, and HIPAA. This audit trail is a core reason CloudTrail is considered essential for compliance.
- ✓
Provides a record of API activity in the account
Why this is correct
CloudTrail creates a detailed log entry for every API request made to supported AWS services, including the identity, source IP, timestamp, request parameters, and response elements. This raw API-level record provides a complete account activity trail that can be used to reconstruct exactly what occurred at a specific time. It covers both read and write operations on management events, with data events available for S3 and Lambda when explicitly enabled.
- ✓
Allows security analysis of user activity
Why this is correct
CloudTrail’s captured API events can be filtered and correlated to detect anomalous user behavior, such as repeated failed AssumeRole attempts or unauthorized access to infrastructure. Security teams can query event history or use Amazon Athena against logs in S3 to build an analysis pipeline, identifying compromised credentials or policy violations. This analytical capability is the foundation for threat detection and incident response in the account.
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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