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AWS Certified Professional DOP-C02 Passing Score

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Total 425 questions
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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 53

A company deploys its corporate infrastructure on AWS across multiple AWS Regions and Availability Zones. The infrastructure is deployed on Amazon EC2 instances and connects with AWS loT Greengrass devices. The company deploys additional resources on on-premises servers that are located in the corporate headquarters.

The company wants to reduce the overhead involved in maintaining and updating its resources. The company ' s DevOps team plans to use AWS Systems Manager to implement automated management and application of patches. The DevOps team confirms that Systems Manager is available in the Regions that the resources are deployed m Systems Manager also is available in a Region near the corporate headquarters.

Which combination of steps must the DevOps team take to implement automated patch and configuration management across the company ' s EC2 instances loT devices and on-premises infrastructure? (Select THREE.)

Options:

A.

Apply tags lo all the EC2 instances. AWS loT Greengrass devices, and on-premises servers. Use Systems Manager Session Manager to push patches to all the tagged devices.

B.

Use Systems Manager Run Command to schedule patching for the EC2 instances AWS loT Greengrass devices and on-premises servers.

C.

Use Systems Manager Patch Manager to schedule patching loT the EC2 instances AWS loT Greengrass devices and on-premises servers as a Systems Manager maintenance window task.

D.

Configure Amazon EventBridge to monitor Systems Manager Patch Manager for updates to patch baselines. Associate Systems Manager Run Command with the event lo initiate a patch action for all EC2 instances AWS loT Greengrass devices and on-premises servers.

E.

Create an IAM instance profile for Systems Manager Attach the instance profile to all the EC2 instances in the AWS account. For the AWS loT Greengrass devices and on-premises servers create an IAM service role for Systems Manager.

F.

Generate a managed-instance activation Use the Activation Code and Activation ID to install Systems Manager Agent (SSM Agent) on each server in the on-premises environment Update the AWS loT Greengrass IAM token exchange role Use the role to deploy SSM Agent on all the loT devices.

Question 54

A company has a web application that is hosted on Amazon EC2 instances. The company is deploying the application into multiple AWS Regions. The application consists of dynamic content such as WebSocket-based real-time product updates. The company uses Amazon Route 53 to manage all DNS records. Which solution will provide multi-Region access to the application with the LEAST latency?

Options:

A.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Create a Route 53 A record with a latency-based routing policy. Add IP addresses of the ALBs as the value of the record.

B.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Deploy an Amazon CloudFront distribution with an origin group that contains the ALBs as origins. Create a Route 53 alias record that points to the CloudFront distribution ' s DNS address.

C.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Create a Route 53 A record with a multivalue answer routing policy. Add IP addresses of the NLBs as the value of the record.

D.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Deploy an AWS Global Accelerator standard accelerator with an endpoint group for each NLB. Create a Route 53 alias record that points to the accelerator ' s DNS address.

Question 55

A company ' s application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.

The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

A.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.

B.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.

C.

For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

D.

For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

E.

For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

Question 56

A DevOps engineer uses AWS CodeBuild to frequently produce software packages. The CodeBuild project builds large Docker images that the DevOps engineer can use across multiple builds. The DevOps engineer wants to improve build performance and minimize costs. Which solution will meet these requirements?

Options:

A.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

B.

Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.

C.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.

D.

Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.

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Total 425 questions
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