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DOP-C01 Exam Dumps - AWS Certified DevOps Engineer - Professional

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Question # 25

A DevOps Engineer at a startup cloud-based gaming company has the task formalizing deployment strategies. The strategies must meet the following requirements:

Use standard Git commands, such as git clone and git push for the code repository.

Management tools should maximize the use of platform solutions where possible.

Deployment packages must be immutable and in the form of Docker images.

How can the Engineer meet these requirements?

Use AWS CodePipeline to trigger a build process when software is pushed to a self-hosted GitHub repository. CodePipeline will use a Jenkins build server to build new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

Use AWS CodePipeline to trigger a build process when software is pushed to a private GitHub repository. CodePipeline will use AWS CodeBuild to build new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

Use a Jenkins pipeline to trigger a build process when software is pushed to a private GitHub repository. AWS CodePipeline will use AWS CodeBuild new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

Use AWS CodePipeline to trigger a build process when software is pushed to an AWS CodeCommit repository CodePipeline will use an AWS CodeBuild build server to build new Docker images. CodePipeline will deploy into a second target group in a Kubernetes Cluster hosted on Amazon EC2 behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

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Question # 26

A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to

AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.

What option requires the LEAST amount of management overhead to meet these requirements?

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

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Question # 27

A company runs a three-tier web application in its production environment, which is built on a single AWS CloudFormation template made up of Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones. Data is stored in an

Amazon RDS Multi-AZ DB instance with read replicas. Amazon Route 53 manages the application's public DNS record.

A DevOps Engineer must create a workflow to mitigate a failed software deployment by rolling back changes in the production environment when a software cutover occurs for new application software.

What steps should the Engineer perform to meet these requirements with the LEAST amount of downtime?

Use CloudFormation to deploy an additional staging environment and configure the Route 53 DNS with weighted records. During cutover, change the Route 53 A record weights to achieve an even traffic distribution between the two environments. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

Use a single AWS Elastic Beanstalk environment to deploy the staging and production environments. Update the environment by uploading the ZIP file with the new application code. Swap the Elastic Beanstalk environment CNAME. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

Use a single AWS Elastic Beanstalk environment and an AWS OpsWorks environment to deploy the staging and production environments. Update the environment by uploading the ZIP file with the new application code into the Elastic Beanstalk environment deployed with the OpsWorks stack. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

Use AWS CloudFormation to deploy an additional staging environment, and configure the Route 53 DNS with weighted records. During cutover, increase the weight distribution to have more traffic directed to the new staging environment as workloads are successfully validated. Keep the old production environment in place until the new staging environment handles all traffic.

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Question # 28

A company has built a web service that runs on Amazon EC2 instances behind an Application Load Balancer (ALB) the company has deployed the application in us-east-1 Amazon Route 53 provides an external DNS that routes traffic from example.com to the application, created with appropriate health checks.

The company has deployed a second environment for the application in eu-west-1 the company wants traffic to be routed to whichever environment results m the best response time for each user. If there is an outage in one Region, traffic should be directed to the other environment.

Which configuration will achieve this requirements?

â€¢A subdomain us example com with weighted routing the US ALB with weight 2 and the EU ALB with weight 1

â€¢Another subdomain eu.example.com with weighted routing the EU ALB with weight 2 and the US ALU with weight 1

â€¢Geolocation routing records for example.com North America aliased to us example.com and Europe aliased to eu.example.com

â€¢A subdomain us example com with latency-based routing the US ALB as the first target and the EU ALB as the second target.

â€¢Another subdomain eu.example.com with latency-based routing. The EU ALB as the first target and the US ALB as the second target.

â€¢Failover routing records for example.com aliased to us.example.com as the first target and eu.example.com as the second target.

â€¢A subdomain us.example.com with failover routing the US ALB as primary and the EU ALB as secondary

â€¢Another subdomain eu.example.com with failover routing the EU ALB as primary and the US ALB as secondary

â€¢Latency-based routing records for example com that are aliased to us example com and eu.example.com

â€¢A subdomain us.example.com with multivalue answer routing. the US ALB as first and the EU ALB as second

â€¢Another subdomain eu.example.com with failover routing the EU ALB as first and the US ALB as second

â€¢Failover routing records for example.com that are aliased to us.example.com and eu.example.com

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Question # 29

A DevOps Engineer has several legacy applications that all generate different log formats. The Engineer must standardize the formats before writing them to Amazon S3 for querying and analysis.

How can this requirement be met at the LOWEST cost?

Have the application send its logs to an Amazon EMR cluster and normalize the logs before sending them to Amazon S3

Have the application send its logs to Amazon QuickSight then use the Amazon QuickSight SPICE engine to normalize the logs Do the analysis directly from Amazon QuickSight.

Keep the logs in Amazon S3 and use Amazon Redshift Spectrum to normalize the logs in place

Use Amazon Kinesis Agent on each server to upload the logs and have Amazon Kinesis Data Firehose use an AWS Lambda function to normalize the logs before writing them to Amazon S3

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Question # 30

You are responsible for your company's large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer. While reviewing metrics, you've started noticing an upwards trend for slow customer page load time. Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second. Which technique would you use to solve this issue?

Re-deploy your infrastructure usingan AWS CloudFormation template. Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.

Re-deploy your infrastructure using an AWS CloudFormation template. Spin up a second AWS CloudFormation stack. Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.

Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling. Set up your Auto Scalinggroup policies to scale based on the number of requests per second as well as the current customer load time. â€¢>/

D- Re-deploy your application using an Auto Scaling template. Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.

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Question # 31

You have an application running a specific process that is critical to the application's functionality, and have added the health check process to your Auto Scaling Group. The instances are showing healthy but the application itself is not working as it should. What could be the issue with the health check, since it is still showing the instances as healthy.

You do not have the time range in the health check properly configured

It is not possible for a health check to monitor a process that involves the application

The health check is not configured properly

The health check is not checking the application process

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Question # 32

A Security team requires all Amazon EBS volumes that are attached to an Amazon EC2 instance to have AWS Key Management Service (AWS KMS) encryption enabled. If encryption is not enabled, the company's policy requires the EBS volume to be detached and deleted. A DevOps Engineer must automate the detection and deletion of unencrypted EBS volumes. Which method should the Engineer use to accomplish this with the LEAST operational effort?

Create an Amazon CloudWatch Events rule that invokes an AWS Lambda function when an EBS volume is created. The Lambda function checks the EBS volume for encryption. If encryption is not enabled and the volume is attached to an instance, the function deletes the volume.

Create an AWS Lambda function to describe all EBS volumes in the region and identify volumes that are attached to an EC2 instance without encryption enabled. The function then deletes all non-compliant volumes. The AWS Lambda function is invoked every 5 minutes by an Amazon CloudWatch Events scheduled rule.

Create a rule in AWS Config to check for unencrypted and attached EBS volumes. Subscribe an AWS Lambda function to the Amazon SNS topic that AWS Config sends change notifications to. The Lambda function checks the change notification and deletes any EBS volumes that are non-compliant.

Launch an EC2 instance with an IAM role that has permissions to describe and delete volumes. Run a script on the EC2 instance every 5 minutes to describe all EBS volumes in all regions and identify volumes that are attached without encryption enabled. The script then deletes those volumes.

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