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

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company is optimizing its AWS costs. Most of the company’s AWS spend is for Amazon EC2. When the company analyzes its EC2 usage metrics in Amazon CloudWatch, the company observes that most of its EC2 instances are in an idle state.

The company considers an instance idle if it has a maximum CPU utilization of less than 2% in the previous 24 hours. The company evaluates metrics for instances based on 1-hour intervals. The company decides to configure a CloudWatch alarm for each EC2 instance in the account. The company wants the alarm to activate when an instance is idle.

How should the company configure the CloudWatch alarm?

Options:

A.

Select anomaly detection as the threshold type. Set the anomaly detection threshold to 2. Set Datapoints to Alarm to 24 out of 24.

B.

Select static as the threshold type. Set the threshold value to 2. Set Datapoints to Alarm to 24 out of 24.

C.

Select anomaly detection as the threshold type. Set the anomaly detection threshold to 2. Set Datapoints to Alarm to 1 out of 24.

D.

Select static as the threshold type. Set the threshold value to 2. Set Datapoints to Alarm to 1 out of 24.

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Question 2

A company has an application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue.

A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to Amazon CloudWatch Logs.

The DevOps engineer needs to ensure that the queue is processed quickly.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scal

B.

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that

C.

Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.

D.

Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.

Question 3

A company uses an organization in AWS Organizations that has all features enabled to manage multiple AWS accounts. The company has enabled AWS Config in all accounts. The company requires developers to create AWS CloudFormation stacks in a new AWS account to test features for a new application that the developers are building.

The company wants to ensure that the developers can use only approved Amazon EC2 instance types for the application.

Which solution will meet these requirements?

Options:

A.

Create an AWS Lambda function that returns SUCCESS when the EC2 instance type property matches a value from a list of approved instance types. Activate a CloudFormation Guard Hook in the new AWS account to run the Lambda function.

B.

Create an AWS Config rule that uses the desired-instance-type rule in the new AWS account. Provide the list of approved instance types in the rule configuration. Create a remediation for the AWS Config rule that uses the AWS-StopEC2Instance remediation action.

C.

Create an SCP that includes a Deny effect for ec2:RunInstances when the ec2:InstanceType property does not match a value from a list of approved instance types. Attach the SCP to the root of the organization.

D.

Create a CloudFormation Guard rule to ensure that the EC2 instance type matches a value from a list of approved instance types. Activate a Guard Hook in the new AWS account to run the Guard rule.