CloudTrail Investigation: Who Did What
Configure a CloudTrail trail with management and S3 data events, generate diverse API activity, query the events with CloudTrail Lake SQL, and validate digest signatures to prove logs were not tampered with.

Lab Overview
CloudTrail is the audit log of every AWS account. As a DevOps Engineer Professional you must be able to deploy a trail correctly, capture both management and data events, and use that audit trail to investigate incidents and prove integrity to auditors.
You will:
- Create a CloudTrail trail writing to S3 encrypted with KMS
- Enable management events plus S3 object-level data events on a target bucket
- Enable log file integrity validation
- Generate diverse API activity (IAM user create/delete, policy attach, S3 put/get/delete)
- Create a CloudTrail Lake event data store and query events with SQL
- Use `aws cloudtrail validate-logs` to confirm digest signatures match log file hashes
This lab uses only confirmed-tier services (CloudTrail, S3, KMS, IAM, STS) and runs reliably under a hardened TeKanAid AWS lab IAM policy.
What You'll Learn
Create a CloudTrail trail with KMS-encrypted S3 destination
Enable management events and S3 object-level data events on a target bucket
Turn on log file integrity validation and understand digest files
Generate diverse IAM and S3 API activity to populate the trail
Create a CloudTrail Lake event data store and run SQL queries to investigate activity
Validate CloudTrail digest signatures using aws cloudtrail validate-logs
Prerequisites
aws-cli-familiarity
aws-iam-fundamentals
aws-associate-level-knowledge
Technologies Covered
Part of a Course
This lab is part of the AWS Certified DevOps Engineer - Professional (DOP-C02) course
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