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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 uses AWS Systems Manager to manage a fleet of Amazon Linux EC2 instances that have SSM Agent installed. All EC2 instances are configured to use Instance Metadata Service Version 2 (IMDSv2) and are running in the same AWS account and AWS Region. Company policy requires developers to use only Amazon Linux.

The company wants to ensure that all new EC2 instances are automatically managed by Systems Manager after creation.

Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Create an IAM role that has a trust policy that allows Systems Manager to assume the role. Attach the AmazonSSMManagedEC2InstanceDefaultPolicy policy to the role. Configure the default-ec2-instance-management-role SSM service setting to use the role.

B.

Ensure that AWS Config is set up. Create an AWS Config rule that validates if an EC2 instance has SSM Agent installed. Configure the rule to run on EC2 configuration changes. Configure automatic remediation for the rule to run the AWS-InstallSSMAgent SSM document to install SSM Agent.

C.

Configure Systems Manager Patch Manager. Create a patch baseline that automatically installs SSM Agent on all new EC2 instances. Create a patch group for all EC2 instances. Attach the patch baseline to the patch group. Create a maintenance window and maintenance window task to start installing SSM Agent daily.

D.

Create an EC2 instance role that has a trust policy that allows Amazon EC2 to assume the role. Attach the AmazonSSMManagedInstanceCore policy to the role. Ensure that AWS Config is set up. Use the ec2-instance-profile-attached managed AWS Config rule to validate if an EC2 instance has the role attached. Configure the rule to run on EC2 configuration changes. Configure automatic remediation for the rule to run the AWS-SetupManagedRoleOnEc2In

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Question 2

A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.

After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired R TO.

Which solution will meet these requirements?

Options:

A.

Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

B.

Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.

C.

Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to O. Update the distribution ' s origin to use the new record set.

D.

Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution ' s default behavior to send origin responses to the function.

Question 3

A DevOps engineer manages a Java-based application that runs in an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate. Auto scaling has not been configured for the application. The DevOps engineer has determined that the Java Virtual Machine (JVM) thread count is a good indicator of when to scale the application. The application serves customer traffic on port 8080 and makes JVM metrics available on port 9404. Application use has recently increased. The DevOps engineer needs to configure auto scaling for the application. Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure the CloudWatch agent to retrieve JVM metrics from port 9404. Create CloudWatch alarms on the JVM thread count metric to scale the application. Add a step scaling policy in Fargate to scale up and scale down based on the CloudWatch alarms.

B.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure a metric filter for the JVM thread count metric on the CloudWatch log group for the CloudWatch agent. Add a target tracking policy in Fargate. Select the metric from the metric filter as a scale target.

C.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to publish the JVM metrics from port 9404 to the Prometheus workspace. Configure rules for the workspace to use the JVM thread count metric to scale the application. Add a step scaling policy in Fargate. Select the Prometheus rules to scale up and scaling down.

D.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to retrieve JVM metrics from port 9404 to publish the JVM metrics from port 9404 to the Prometheus workspace. Add a target tracking policy in Fargate. Select the Prometheus metric as a scale target.