Data Events
Data events provide information about resource-level operations performed on or within Amazon S3 and AWS Lambda. They are higher in volume and are typically used for more granular auditing, providing a record of API actions performed on the data plane, such as reading or writing data, and can help ensure that any unauthorized access is detected and addressed. By recording and monitoring data events, you can trace the flow of data through your organization and ensure compliance with data protection regulations, as well as evaluate and analyze the performance of your AWS resources.
AWS Solution Architect: Understanding AWS CloudTrail Data Events
AWS CloudTrail Data Events refer to file-level logging of S3 operations and AWS Lambda function invoke operations that are performed, or that a user initiates.
Why it is important: Data Events help perform security analysis, track the changes to contents of S3 buckets, and achieve compliance. They provide insights into the resource operations performed on or within the resource.
What it is: CloudTrail Data Events provide detailed information about data plane activities, and are delivered directly to the Amazon S3 bucket or CloudWatch Logs log group you specified when you configured trail.
How it works: CloudTrail Data Events are recorded in JSON format. When these events are delivered, they're written to CloudWatch Events. From there, they can be fetched and analyzed for any suspicious activity.
Answering Questions: Questions related to Data Events in an exam might typically be situation-based involving its configuration, working, or troubleshooting. Understanding its end-to-end lifecycle would be key in answering such questions.
Exam Tips: Focus on understanding AWS CloudTrail primarily for governance, compliance, operational auditing, and risk auditing of your AWS account. Deep Dive into understanding how AWS CloudTrail works with Amazon S3 and AWS Lambda for the data plane API call reporting.
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