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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 deploys an application on on-premises devices in the company ' s on-premises data center. The company uses an AWS Direct Connect connection between the data center and the company ' s AWS account. During initial setup of the on-premises devices and during application updates, the application needs to retrieve configuration files from an Amazon Elastic File System (Amazon EFS) file system. All traffic from the on-premises devices to Amazon EFS must remain private and encrypted. The on-premises devices must follow the principle of least privilege for AWS access. The company ' s DevOps team needs the ability to revoke access from a single device without affecting the access of the other devices. Which combination of steps will meet these requirements? (Select TWO.)

Options:

A.

Create an IAM user that has an access key and a secret key for each device. Attach the AmazonElasticFileSystemFullAccess policy to all IAM users. Configure the AWS CLI on the on-premises devices to use the IAM user ' s access key and secret key.

B.

Generate certificates for each on-premises device in AWS Private Certificate Authority. Create a trust anchor in IAM Roles Anywhere that references an AWS Private CA. Create an IAM role that trusts IAM Roles Anywhere. Attach the AmazonElasticFileSystemClientReadWriteAccess to the role. Create an IAM Roles Anywhere profile for the IAM role. Configure the AWS CLI on the on-premises devices to use the aws_signing_helper command to obtain crede

C.

Create an IAM user that has an access key and a secret key for all devices. Attach the AmazonElasticFileSystemClientReadWriteAccess policy to the IAM user. Configure the AWS CLI on the on-premises devices to use the IAM user ' s access key and secret key.

D.

Use the amazon-efs-utils package to mount the EFS file system.

E.

Use the native Linux NFS client to mount the EFS file system.

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Question 2

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.

Question 3

A SaaS company uses ECS (Fargate) behind an ALB and CodePipeline + CodeDeploy for blue/green deployments. They need automatic, incremental traffic shifting over time with no downtime.

Which solution will meet these requirements?

Options:

A.

Use TimeBasedLinear in appspec.yaml with defined percentage and interval.

B.

Use AllAtOnce deployment configuration.

C.

Use TimeBasedCanary.

D.

Configure weighted routing on ALB manually.