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The AWS-DevOps-Engineer-Professional certification exam consists of multiple-choice and multiple-response questions, as well as a hands-on lab component. AWS-DevOps exam covers a range of topics, including software development processes, continuous integration and delivery, infrastructure as code, monitoring and logging, and security and compliance.
Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Exam is a professional-level certification that validates the candidate's expertise in DevOps practices and principles on the AWS platform. AWS Certified DevOps Engineer - Professional certification exam is designed for experienced DevOps engineers who have a deep understanding of the AWS services and can design, deploy, and manage highly scalable and fault-tolerant systems on the cloud. AWS-DevOps Exam covers a range of topics, including continuous integration and delivery, infrastructure as code, monitoring and logging, security and compliance, and automation.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q128-Q133):
NEW QUESTION # 128
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight. The team noted that the policy used for AWS Auto Scaling is NetworkOut. Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically.
Following AWS recommendations, how should this automation be implemented?
- A. Using ebextensions, create a custom resource that modifies the AWSEBAutoScalingScaleUpPolicy and AWSEBAutoScalingScaleDownPolicy resources to use CPUUtilization as a metric to scale for the Auto Scaling group.
- B. Using ebextensions, place a command within the container_commands key to perform an API call to modify the scaling metric to CPUUtilization for the Auto Scaling configuration. Use leader_only to execute this command in only the first instance launched within the environment.
- C. Using ebextensions, configure the option setting MeasureName to CPUUtilization within the aws:autoscaling:trigger namespace.
- D. Using ebextensions, place a script within the files key and place it in
/opt/elasticbeanstalk/hooks/appdeploy/pre to perform an API call to modify the scaling metric to CPUUtilization for the Auto Scaling configuration. Use leader_only to place this script in only the first instance launched within the environment.
Answer: B
NEW QUESTION # 129
A DevOps Engineer just joined a new company that is already running workloads on Amazon EC2 instances. AWS has been adopted incrementally with no central governance. The Engineer must now assess how well the existing deployments comply with the following requirements: *EC2 instances are running only approved AMIs. *Amazon EBS volumes are encrypted. *EC2 instances have an Owner tag. *Root login over SSH is disabled on EC2 instances. Which services should the Engineer use to perform this assessment with the LEAST amount of effort? (Select TWO.)
- A. AWS Config
- B. Amazon GuardDuty
- C. AWS System Manager
- D. Amazon Inspector
- E. AWS Directory Service
Answer: A,D
Explanation:
https://docs.aws.amazon.com/ja_jp/inspector/latest/userguide/inspector_security-best-practices.html
NEW QUESTION # 130
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. Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.
- B. 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. - C. 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.
- D. 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.
Answer: A
Explanation:
You cannot include parameters, pseudo parameters, or intrinsic functions in the Mappings section.
Answer B sounds to me as if they want to put parameters in the mappings to use within the template.
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/mappings-section- structure.html
NEW QUESTION # 131
A retail company has adopted AWS OpsWorks for managing its deployments. In the last three months, the company has discovered that some production instances have been restarting without reason. Upon inspection of the AWS CloudTrail logs, a DevOps Engineer determined that those instances were restarted by OpsWorks.
The Engineer now wants automated email notifications whenever OpsWorks restarts an instance when the instance is deemed unhealthy or unable to communicate with the service endpoint.
How can the Engineer meet this requirement?
- A. Create an Amazon SNS topic and create a subscription for this topic that contains the destination email address. Create an Amazon CloudWatch rule: specify aws . opsworks as a source and specify auto-healing in the initiated_by details. Use the SNS topic as a target.
- B. Create an Amazon SNS topic and create a subscription for this topic that contains the destination email address. Create an Amazon CloudWatch rule specify aws. opsworks as a source and specify instance-replacement in the initiated_by details. Use the SNS topic as a target.
- C. Create a Chef recipe to place a cron to run a custom script within the Amazon EC2 instances that sends an email to the team by using Amazon SES if the OpsWorks agent detects an instance failure.
- D. Create a subscription for this topic that contains the email address. Enable instance restart notifications within the OpsWorks layer and indicate the destination email address for the notification.
Answer: B
NEW QUESTION # 132
You are building out a layer in a software stack on AWS that needs to be able to scale out to react to increased demand as fast as possible. You are running the code on EC2 instances in an Auto Scaling Group behind an ELB. Which application code deployment method should you use?
- A. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest code at all times.
- B. SSH into new instances that come online, and deploy new code onto the system by pulling it from an S3 bucket, which is populated by code that you refresh from source control on new pushes.
- C. Create a Dockerfile when preparing to deploy a new version to production and publish it to S3.
Use UserData in the Auto Scaling Launch configuration to pull down the Dockerfile from S3 and run it when new instances launch. - D. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch Configuration.
Answer: D
Explanation:
... 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.
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
NEW QUESTION # 133
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