DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

 Create an Amazon EventBridge Rule Using an AWS CloudTrail Event Pattern:

AWS CloudTrail logs API calls made in your account, including actions performed by roles.

Create an EventBridge rule that matches CloudTrail events where the AssumeRole API call is made to assume the administrator role.

 Invoke an AWS Lambda Function:

Configure the EventBridge rule to trigger a Lambda function whenever the rule's conditions are met.

The Lambda function will handle the logic to send a notification.

 Publish a Message to an Amazon SNS Topic:

The Lambda function will publish a message to an SNS topic to notify the security team.

Subscribe the security team’s email address to this SNS topic to receive real-time notifications.

Example EventBridge rule pattern:

{

"source": ["aws.cloudtrail"],

"detail-type": ["AWS API Call via CloudTrail"],

"detail": {

"eventSource": ["sts.amazonaws.com"],

"eventName": ["AssumeRole"],

"requestParameters": {

"roleArn": ["arn:aws:iam:::role/AdministratorRole"]

}

}

}

Example Lambda function (Node.js) to publish to SNS:

const AWS = require('aws-sdk');

const sns = new AWS.SNS();

exports.handler = async (event) => {

const params = {

Message: `Administrator role assumed: ${JSON.stringify(event.detail)}`,

TopicArn: 'arn:aws:sns:::'

};

await sns.publish(params).promise();

};

To restore the functionality of the Auto Scaling group after the AMI was deleted, the DevOps engineer needs to create a new AMI and update the Auto Scaling group to use it. The DevOps engineer can create a new AMI by copying the most recent public AMI of the operating system that the EC2 instances use. This will ensure that the new AMI has the same operating system as the custom AMI that was deleted. The DevOps engineer can then create a new launch template that uses the new AMI and update the Auto Scaling group to use the new launch template. This will allow the Auto Scaling group to launch new instances with the new AMI.

Option A is the most cost-effective solution. By configuring a warm pool of EC2 instances in the Stopped state, the company can reduce the time it takes for new instances to be ready to serve requests. When the Auto Scaling group launches a new instance, it can attach the stopped EC2 instance from the warm pool. The instance can then be started up immediately, rather than having to wait for the data to be downloaded and processed. This reduces the overall startup time for the application.