Data Events

5 minutes 5 Questions

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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Question 1

A gaming company needs to analyze data events generated by their application running on an EC2 instance. Which Amazon Web Services solution should they implement for near-real-time processing and analysis of the data events?

Amazon S3 with AWS Glue Amazon Kinesis Data Streams with Kinesis Data Analytics S3 data event notifications AWS Lambda with CloudWatch Logs

Correct Answer: Amazon Kinesis Data Streams with Kinesis Data Analytics

Amazon Kinesis Data Streams and Kinesis Data Analytics can be used for near-real-time processing and analysis of data events generated by the gaming application. The other options do not specifically focus on near-real-time processing or are not suitable for processing data events from an EC2 instance.

Question 2

A media company wants to process newly uploaded image files in their S3 bucket using AWS Lambda. Which Amazon Web Services feature should be used to trigger the Lambda function based on the data event?

S3 object tagging S3 event notifications CloudTrail data events CloudWatch Events

Correct Answer: S3 event notifications

S3 event notifications can be configured to trigger AWS Lambda functions based on object-level operations which represent data events, such as uploading new files. The other options do not provide direct or specific support for triggering Lambda functions based on data events on S3.

Question 3

A company wants to log and monitor detailed information about AWS Lambda executions triggered by data events on an S3 bucket, including capturing the S3 object-level events themselves. Which Amazon Web Services service can help achieve this?

AWS CloudTrail with data events enabled AWS Config Amazon S3 Access Logs AWS Lambda function logs

Correct Answer: AWS CloudTrail with data events enabled

AWS CloudTrail with data events enabled allows you to log and monitor detailed API activity for S3 object-level operations and AWS Lambda function executions. By enabling data events in CloudTrail, you can capture comprehensive information about the S3 data events that trigger Lambda functions, including who invoked the function, when it was invoked, and what S3 objects were accessed. This is essential for auditing, compliance, and detailed monitoring of the interactions between S3 and Lambda within your AWS environment.

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