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The DOP-C01 certification exam covers a wide range of topics, including continuous integration and continuous delivery (CI/CD), infrastructure as code (IAC), monitoring and logging, and security best practices. AWS-DevOps-Engineer-Professional Exam also tests the candidate's ability to design and implement highly available and scalable systems on AWS.

The AWS DevOps certification exam covers topics such as automation, monitoring, security, and infrastructure as code. It is a challenging exam that requires candidates to have a thorough understanding of the AWS platform and DevOps principles. AWS Certified DevOps Engineer - Professional certification validates that the individual has the necessary skills and knowledge to design, deploy, and manage DevOps solutions on the AWS platform.

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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is a widely recognized certification that validates a candidate's proficiency in designing, deploying, and operating applications and infrastructure on the AWS platform. AWS Certified DevOps Engineer - Professional certification is ideal for professionals working in the field of DevOps, who are responsible for automating and streamlining the software delivery process.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q11-Q16):

NEW QUESTION # 11
You have deployed an application to AWS which makes use of Autoscaling to launch new instances. You now want to change the instance type for the new instances. Which of the following is one of the action items to achieve this deployment?

A. Create a new launch configuration with the new instance type
B. Use Cloudformation to deploy the new application with the new instance type
C. Create new EC2 instances with the new instance type and attach it to the Autoscaling Group
D. Use Elastic Beanstalk to deploy the new application with the new instance type

Answer: A

Explanation:
The ideal way is to create a new launch configuration, attach it to the existing Auto Scaling group, and terminate the running instances.
Option A is invalid because Clastic beanstalk cannot launch new instances on demand. Since the current scenario requires Autoscaling, this is not the ideal option Option B is invalid because this will be a maintenance overhead, since you just have an Autoscaling Group. There is no need to create a whole Cloudformation template for this.
Option D is invalid because Autoscaling Group will still launch CC2 instances with the older launch configuration For more information on Autoscaling Launch configuration, please refer to the below document link: from AWS
http://docs.aws.amazon.com/autoscaling/latest/userguide/l_a unchConfiguration.html

NEW QUESTION # 12
A new zero-day vulnerability was found in OpenSSL requiring the immediate patching of a production web fleet running on Amazon Linux. Currently, OS updates are performed manually on a monthly basis and deployed using updates to the production Auto Scaling Group's launch configuration. Which method should a DevOps Engineer use to update packages in-place without downtime?

A. Use AWS CodePipline and AWS CodeBuild to generate new copies of these packages, and update the Auto Scaling group's launch configuration.
B. Use Amazon EC2 Run Command to issue a package update command to all running production instances, and update the AMI for future deployments.
C. Define a new AWS OpsWorks layer to match the running production instances, and use a recipe to issue a package update command to all running production instances.
D. Use AWS Inspector to run "yum upgrade" on all running production instances, and manually update the AMI for the next maintenance window.

Answer: B

Explanation:
https://aws.amazon.com/blogs/aws/ec2-run-command-is-now-a-cloudwatch-events-target/ EC2 Run Command is part of EC2 Systems Manager. It allows you to operate on collections of EC2 instances and on-premises servers reliably and at scale, in a controlled and selective fashion. You can run scripts, install software, collect metrics and log files, manage patches, and much more, on both Windows and Linux.

NEW QUESTION # 13
Your company wants to understand where cost is coming from in the company's production AWS account.
There are a number of applications and services running at any given time. Without expending too much initial development time.how best can you give the business a good understanding of which applications cost the most per month to operate?

A. Create an automation script which periodically creates AWS Support tickets requesting detailed intra-month information about your bill.
B. Use AWS Cost Allocation Taggingfor all resources which support it. Use the Cost Explorer to analyze costs throughout the month.
C. Use the AWS Price API and constantly running resource inventory scripts to calculate total price based on multiplication of consumed resources over time.
D. Use custom CloudWatch Metrics in your system, and put a metric data point whenever cost is incurred.

Answer: B

Explanation:
Explanation
A tag is a label that you or AWS assigns to an AWS resource. Each tag consists of a Areyand a value. A key can have more than one value. You can use tags to organize your resources, and cost allocation tags to track your AWS costs on a detailed level. After you activate cost allocation tags, AWS uses the cost allocation tags to organize your resource costs on your cost allocation report, to make it easier for you to categorize and track your AWS costs. AWS provides two types of cost allocation tags, an A WS-generated tagand user-defined tags. AWS defines, creates, and applies the AWS-generated tag for you, and you define, create, and apply user-defined tags. You must activate both types of tags separately before they can appear in Cost Explorer or on a cost allocation report.
For more information on Cost Allocation tags, please visit the below URL:
* http://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloctags.html

NEW QUESTION # 14
A company wants to use Amazon ECS to provide a Docker container runtime environment. For compliance reasons, all Amazon EBS volumes used in the ECS cluster must be encrypted. Rolling updates will be made to the cluster instances and the company wants the instances drained of all tasks before being terminated.
How can these requirements be met? (Choose two.)

A. Copy the default AWS CloudFormation template that ECS uses to deploy cluster instances. Modify the template resource EBS configuration setting to set 'Encrypted: True' and include the AWS KMS alias: 'aws/ ebs' to encrypt the AMI.
B. Use AWS CodePipeline to build a pipeline that discovers the latest Amazon-provided ECS AMI, then copies the image to an encrypted AMI outputting the encrypted AMI ID. Use the encrypted AMI ID when deploying the cluster.
C. Create an Auto Scaling lifecycle hook backed by an AWS Lambda function that uses the AWS SDK to mark a terminating instance as DRAINING. Prevent the lifecycle hook from completing until the running tasks on the instance are zero.
D. Modify the default ECS AMI user data to create a script that executes docker rm -f {id}for all running container instances. Copy the script to the /etc/init.d/rc.d directory and execute chconfigenabling the script to run during operating system shutdown.
E. Create an IAM role that allows the action ECS::EncryptedImage. Configure the AWS CLI and a profile to use this role. Start the cluster using the AWS CLI providing the --use-encrypted-imageand --kms- keyarguments to the create-clusterECS command.

Answer: C,E

NEW QUESTION # 15
Which deployment method, when using AWS Auto Scaling Groups and Auto Scaling Launch Configurations, enables the shortest time to live for individual servers?

A. Pre-baking AMIs with all code and configuration on deploys.
B. Using AWS EC2 Run Commands to dynamically SSH into fleets.
C. Using a Dockerfile bootstrap on instance launch.
D. Using UserData bootstrapping scripts.

Answer: A

Explanation:
Note that the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fleet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling. Prebaking is a process of embedding a significant portion of your application artifacts within your base AMI. During the deployment process you can customize application installations by using EC2 instance artifacts such as instance tags, instance metadata, and Auto Scaling groups.
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf

NEW QUESTION # 16
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The best preparation materials AWS-DevOps-Engineer-Professional Exam Dumps is helpful for you - ActualVCE

AWS-DevOps-Engineer-Professional Exam Related Certifications- High Hit Rate Reliable AWS-DevOps-Engineer-Professional Test Simulator Pass Success

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q11-Q16):

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