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The AWS Certified DevOps Engineer - Professional certification is recognized globally by many organizations and is considered to be a valuable asset for professionals in the IT industry. AWS Certified DevOps Engineer - Professional certification provides professionals with the necessary skills and knowledge to manage and implement DevOps practices in an efficient and effective manner. It also helps professionals demonstrate their expertise in managing and implementing AWS services.

The DOP-C01 exam is a professional-level certification exam that requires candidates to have at least two years of experience working with AWS, as well as experience with DevOps practices and continuous delivery. Candidates should be able to demonstrate their ability to design, deploy, and manage AWS-based applications using DevOps practices.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q201-Q206):

NEW QUESTION # 201
You set up a scalable continuous integration platform on AWS.
The platform consists of a master node that can delegate project build jobs to multiple slave nodes, all running on Amazon EC2.
The build output will be stored in Amazon S3.
You always have five slave nodes deployed. Each slave node can handle 10 build jobs simultaneously.
Your master node publishes a custom Amazon CloudWatch metric with the name
"RunningBuildiobs" that Slows you to programmatically track how many build jobs are running across your platform.
Which two configuration options will allow you to flexibly scale your platform to support more than
50 simultaneous build jobs while minimizing costs? Choose 2 answers

A. Place your fleet of slave nodes in an Auto Scaling group.
Configure a CloudWatch alarm that triggers an Auto Scaling policy to terminate Amazon EC2 instances when "RunningBuildJobs" is less than 40 for more than five minutes.
B. Run your fleet of slave nodes in an Auto Scaling group.
Configure a Cloudwatch alarm that launches new Amazon EC2 Dedicated Instances when
"RunningBuildJobs" is less than 40 for more than five minutes.
C. Configure a CloudWatch alarm that sends an alert when "RunningBuildJobs" is greater than 45 for more than five minutes.
Use Amazon Simple Queue Service to process additional build jobs when the CloudWatch alarm is triggered.
D. Configure your fleet of slave nodes to fully utilize all of your purchased Amazon EC2 Heavy Utilization Reserved Instances.
Configure a CloudWatch alarm that launches new Amazon EC2 instances when
"RunningBuildJobs" is less than 40 for more than five minutes.
E. Place your fleet of slave nodes in an Auto Scaling group.
Configure a CloudWatch alarm that triggers an Auto Scaling policy to launch Amazon EC2 Instances when "RunningBuildJobs" is greater than 45 for more than five minutes.

Answer: A,E

NEW QUESTION # 202
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers.
You have a 3-tier, mission-critical system.
Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?

A. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
B. Parametrize the template and use <code>Mappings</code> to ensure your template works in multiple Regions.
C. Use the AWS CloudFormation <code>ValidateTemplate</code> call before publishing changes to AWS.
D. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.

Answer: A

Explanation:
Putting all resources in one stack is a bad idea, since different tiers have different life cycles and frequencies of change. For additional guidance about organizing your stacks, you can use two common frameworks: a multi-layered architecture and service-oriented architecture (SOA).
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/best-
practices.html#organizingstack s

NEW QUESTION # 203
A development team manages website deployments using AWS CodeDeploy blue/green deployments. The application is running on Amazon EC2 instances behind an Application Load Balancer in an Auto Scaling group.
When deploying a new revision, the team notices the deployment eventually fails, but it takes a long time to fail. After further inspection, the team discovers the AllowTrafflc lifecycle event ran for an hour and eventually failed without providing any other information. The team wants to ensure failure notices are delivered more quickly while maintaining application availability even upon failure.
Which combination of actions should be taken to meet these requirements? (Select TWO.)

A. Use the appspec.yml file to run a script on the AllowTraffic hook to perform lighter health checks on the application instead of making CodeDeploy wait for the target group health checks to pass.
B. Reduce the HealthChecklntervalSeconds and UnhealthyThresholdCount values within the target group health checks to decrease the amount of time it takes for the application to be considered unhealthy.
C. Create a CodeDeploy trigger for the deployment failure event and make the deployment fail as soon as a single health check failure is detected.
D. Change the deployment configuration to CodeDeployDefault.AIIAtOnce to speed up the deployment process by deploying to all of the instances at the same time.
E. Use the appspec.yml file to run a script on the BeforeAllowTraffic hook to perform health checks on the application and fail the deployment if the health checks performed by the script are not successful.

Answer: A,C

NEW QUESTION # 204
Your company is using an Autoscaling Group to scale out and scale in instances. There is an expectation of a peak in traffic every Monday at 8am. The traffic is then expected to come down before the weekend on Friday
5pm. How should you configure Autoscaling in this?

A. Create a scheduled policy to scale up on Fridayand scale down on Monday
B. Manuallyadd instances to the Autoscaling Group on Monday and remove them on Friday
C. Createdynamic scaling policies to scale up on Monday and scale down on Friday
D. CreateascheduledpolicytoscaleuponMondayandscaledownonFriday

Answer: D

Explanation:
Explanation
The AWS Documentation mentions the following for Scheduled scaling
Scaling based on a schedule allows you to scale your application in response to predictable load changes. For example, every week the traffic to your web application starts to increase on Wednesday, remains high on Thursday, and starts to decrease on Friday. You can plan your scaling activities based on the predictable traffic patterns of your web application.
For more information on scheduled scaling for Autoscaling, please visit the below URL
* http://docs.aws.amazon.com/autoscaling/latest/userguide/sched
ule_time.html

NEW QUESTION # 205
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application due to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS CloudFormation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 due to the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, while memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?

A. Signinto the AWS Management Console and update the existing launch configurationwith the new C3 instance type. Add an UpdatePolicy attribute to your AutoScaling group that specifies an AutoScaling RollingUpdate.
B. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Run a stack update with the new template. Auto Scalingwill then update the instances with the new instance type.
C. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies an AutoScalingRollingUpdate. Run a stack update with thenew template
D. Signin to the AWS Management Console, copy the old launch configuration, and createa new launch configuration that specifies the C3 instances. Update the AutoScaling group with the new launch configuration. Auto Scaling will then updatethe instance type of all running instances

Answer: C

Explanation:
Explanation
The AWS Documentation mentions the below
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to define how an Auto Scaling group resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified.
For more information on Rolling Updates for Autoscaling please see the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION # 206
......

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