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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q116-Q121):

NEW QUESTION # 116
A company is using an AWS CloudFormation template to deploy web applications. The template requires that manual changes be made for each of the three major environments: production, staging, and development. The current sprint includes the new implementation and configuration of AWS CodePipeline for automated deployments.
What changes should the DevOps Engineer make to ensure that the CloudFormation template is reusable across multiple pipelines?

A. Set up a CodePipeline pipeline that has multiple stages, one for each development environment.
Use AWS Lambda functions to trigger CloudFormation deployments to dynamically alter the UserData of the Amazon EC2 instances launched in each environment.
B. Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.
C. Use a CloudFormation custom resource to query the status of the CodePipeline to determine which environment is launched. Dynamically alter the launch configuration of the Amazon EC2 instances.
D. Set up a CodePipeline pipeline for each environment to use input parameters. Use CloudFormation mappings to switch associated UserData for the Amazon EC2 instances to match the environment being launched.

Answer: A

NEW QUESTION # 117
A DevOps Engineer wants to prevent Developers from pushing updates directly to the company's master branch in AWS CodeCommit. These updates should be approved before they are merged.
Which solution will meet these requirements?

A. Configure an IAM role for the Developers with access to CodeCommit and attach an access policy to the CodeCommit repository that denies the Developers role access when the reference is master. Allow Developers to use feature branches and create a pull request when a feature is complete. Allow an approver to use CodeCommit to view the changes and approve the pull requests.
B. Configure an IAM role for the Developers to use feature branches and create a pull request when a feature is complete. Allow CodeCommit to test all code in the feature branches, and dynamically modify the IAM role to allow merging the feature branches into the master. Allow an approver to use CodeCommit to view the changes and approve the pull requests.
C. Configure an IAM role for the Developers with access to CodeCommit and an explicit deny for write actions when the reference is the master. Allow Developers to use feature branches and create a pull request when a feature is complete. Allow an approver to use CodeCommit to view the changes and approve the pull requests.
D. Configure an IAM role for the Developers to use feature branches and create a pull request when a feature is complete. Allow CodeCommit to test all code in the feature branches, and issue a new AWS Security Token Service (STS) token allowing a one-time API call to merge the feature branches into the master.
Allow an approver to use CodeCommit to view the changes and approve the pull requests.

Answer: C

NEW QUESTION # 118
Which services can be used as optional components of setting up a new Trail in CloudTrail?

A. KMS, SNS and SES
B. CloudWatch, S3 and SNS
C. KMS, Cloudwatch and SNS
D. KMS, S3 and CloudWatch

Answer: C

Explanation:
Key Management Service: The use of AWS KMS is an optional element of CloudTrail, but it allows additional encryption to be added to your Log files when stored on S3 Simple Notification Service: Amazon SNS is also an optional component for CloudTrail, but it allows for you to create notifications, for example when a new log file is delivered to S3 SNS could notify someone or a team via an e-mail. Or it could be used in conjunction with CloudWatch when metric thresholds have been reached.
CloudWatch Logs: Again, this is another optional component, but AWS CloudTrail allows you to deliver its logs to AWS Cloudwatch Logs as well as S3 for specific monitoring metrics to take place Reference:
https://cloudacademy.com/amazon-web-services/aws-cloudtrail-introduction-course/how-do es- aws-cloudtrail-work.html

NEW QUESTION # 119
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. Manuallyadd instances to the Autoscaling Group on Monday and remove them on Friday
B. Create a scheduled policy to scale up on Fridayand scale down on Monday
C. CreateascheduledpolicytoscaleuponMondayandscaledownonFriday
D. Createdynamic scaling policies to scale up on Monday and scale down on Friday

Answer: C

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.htm I

NEW QUESTION # 120
A DevOps Engineer is reviewing a system that uses Amazon EC2 instances in an Auto Scaling group. This system uses a configuration management tool that runs locally on each EC2 instance. Because of the volatility of the application load, new instances must be fully functional within 3 minutes of entering a running state.
Current setup tasks include:
* Installing the configuration management agent - 2 minutes
* Installing the application framework - 15 minutes
* Copying configuration data from Amazon S3 - 2 minutes
* Running the configuration management agent to configure instances - 1 minute
* Deploying the application code from Amazon S3 - 2 minutes
How should the Engineer set up system so it meets the launch time requirement?

A. Trigger an AWS Lambda function from an Amazon CloudWatch Events rule when a new EC2 instance launches. Have the function install the configuration management agent and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
B. Build a custom AMI that includes the configuration management agent, application framework, and configuration data. Write a bootstrap script to run the agent to configure the instance and deploy the application from Amazon S3.
C. Build a custom AMI that includes the configuration management agent and application framework.
Write a bootstrap script to pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
D. Write a bootstrap script to install the configuration management agent, install and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.

Answer: D

NEW QUESTION # 121
......

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