100% FREE AWS-DEVOPS–100% FREE LATEST TEST REPORT | UPDATED AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL VCE DOWNLOAD

100% Free AWS-DevOps–100% Free Latest Test Report | Updated AWS Certified DevOps Engineer - Professional Vce Download

100% Free AWS-DevOps–100% Free Latest Test Report | Updated AWS Certified DevOps Engineer - Professional Vce Download

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Tags: AWS-DevOps Latest Test Report, AWS-DevOps Vce Download, Valid AWS-DevOps Test Camp, Exam Dumps AWS-DevOps Zip, Exam AWS-DevOps Overviews

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Amazon DOP-C01 exam covers a wide range of topics related to DevOps engineering, including continuous delivery and automation, monitoring and logging, security and compliance, infrastructure as code, and deployment and provisioning. AWS-DevOps Exam consists of multiple-choice questions and simulations designed to test the practical skills of the candidates. AWS-DevOps exam is timed and requires a thorough understanding of the AWS platform and its services.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q502-Q507):

NEW QUESTION # 502
Which of the following tools does not directly support AWS OpsWorks, for monitoring your stacks?

  • A. AWSConfig
  • B. Amazon CloudWatch Logs
  • C. Amazon CloudWatch Metrics
  • D. AWSCIoudTrail

Answer: A

Explanation:
Explanation
You can monitor your stacks in the following ways.
* AWS OpsWorks Stacks uses Amazon CloudWatch to provide thirteen custom metrics with detailed
monitoring for each instance in the stack.
* AWS OpsWorks Stacks integrates with AWS CloudTrail to log every AWS OpsWorks Stacks API call and
store the data in an Amazon S3 bucket.
* You can use Amazon CloudWatch Logs to monitor your stack's system, application, and custom logs.
For more information on Opswork monitoring, please visit the below URL:
* http://docs.aws.a
mazon.com/opsworks/latest/userguide/monitoring.html


NEW QUESTION # 503
A Development team is working on a serverless application in AWS. To quickly identify and remediate potential production issues, the team decides to roll out changes to a small number of users as a test before the full release. The DevOps Engineer must develop a solution to minimize downtime and impact.
Which of the following solutions should be used to meet the requirements? (Select TWO.)

  • A. In Amazon API Gateway, create a canary release deployment by adding canary settings to the stage of a regular deployment. Configure API Gateway to route 10% of the incoming traffic to the canary release.
    As the canary release is considered stable, promote it to a production release
  • B. Create an alias for an AWS Lambda function pointing to both the current and new versions. Configure the alias to route 10% of incoming traffic to the new version. As the new version is considered stable, update the alias to route all traffic to the new version.
  • C. Create an ELB Network Load Balancer with two target groups. Set up the Network Load Balancer for Amazon API Gateway private integration Associate one target group with the current version and the other target group with the new version. Configure the load balancer to route 10% of incoming traffic to the new version. As the new version becomes stable, detach the old version from the load balancer.
  • D. Create a rollover record set in AWS Route 53 pointing to the AWS Lambda endpoints for the old and new versions. Configure Route 53 to route 10% of incoming traffic to the new version. As the new version becomes stable, update the DNS record to route all traffic to the new version.
  • E. Create an Application Load Balancer with two target groups. Set up the Application Load Balancer for Amazon API Gateway private integration. Associate one target group to the current version and the other target group to the new version. Configure API Gateway to route 10% of incoming traffic to the new version. As the new version becomes stable, configure API Gateway to send all traffic to the new version and detach the old version from the load balancer.

Answer: A,C


NEW QUESTION # 504
What storage driver does Docker generally recommend that you use if it is available?

  • A. aufs
  • B. overlay
  • C. zfs
  • D. btrfs

Answer: A

Explanation:
After you have read the storage driver overview, the next step is to choose the best storage driver for your workloads. In making this decision, there are three high-level factors to consider:
If multiple storage drivers are supported in your kernel, Docker has a prioritized list of which storage driver to use if no storage driver is explicitly configured, assuming that the prerequisites for that storage driver are met:
If aufs is available, default to it, because it is the oldest storage driver. However, it is not universally available.
Reference: https://docs.docker.com/engine/userguide/storagedriver/selectadriver/


NEW QUESTION # 505
You currently have the following setup in AWS
1) An Elastic Load Balancer
2) Auto Scaling Group which launches EC2 Instances
3) AMIs with your code pre-installed
You want to deploy the updates of your app to only a certain number of users. You want to have a cost-effective solution. You should also be able to revert back quickly. Which of the below solutions is the most feasible one?

  • A. Create a full second stack of instances, cut the DNS over to the new stack of instances, and change the DNS back if a rollback is needed.
  • B. Create new AM Is with the new app. Then use the new EC2 instances in half proportion to the older instances.
  • C. Create a second ELB, and a new Auto Scaling Group assigned a new Launch Configuration. Create a new AMI with the updated app. Use Route53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs.
  • D. Redeploy with AWS Elastic Beanstalk and Elastic Beanstalk versions. Use Route 53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs

Answer: C

Explanation:
The Weighted Routing policy of Route53 can be used to direct a proportion of traffic to your application. The best option is to create a second CLB, attach the new Autoscaling Group and then use Route53 to divert the traffic.
Option B is wrong because just having EC2 instances running with the new code will not help.
Option C is wrong because Clastic beanstalk is good for development environments, and also there is no mention of having 2 environments where environment url's
can be swapped.
Option D is wrong because you still need Route53 to split the traffic.
For more information on Route53 routing policies, please refer to the below link:
http://docs.aws.a mazon.com/Route53/latest/DeveloperGuide/routing-policy. html


NEW QUESTION # 506
A global company with distributed Development teams built a web application using a microservices architecture running on Amazon ECS. Each application service is independent and runs as a service in the ECS cluster. The container build files and source code reside in a private GitHub source code repository. Separate ECS clusters exist for development, testing, and production environments. Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster. What should the DevOps Engineer recommend as an automated solution to these requirements?

  • A. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
  • B. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
  • C. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment.
  • D. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the ECS cluster to build and push images to Amazon ECR, based on the container build files in S3.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-cd-pipeline.html


NEW QUESTION # 507
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