AWS-DEVOPS-ENGINEER-PROFESSIONAL PASS GUIDE, AWS-DEVOPS-ENGINEER-PROFESSIONAL VALID VCE

AWS-DevOps-Engineer-Professional Pass Guide, AWS-DevOps-Engineer-Professional Valid Vce

AWS-DevOps-Engineer-Professional Pass Guide, AWS-DevOps-Engineer-Professional Valid Vce

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The Amazon AWS-DevOps-Engineer-Professional Exam consists of 75 multiple-choice and multiple-response questions that cover various topics such as continuous delivery and deployment, monitoring and logging, security and compliance, infrastructure as code, and automation and optimization. The candidate has 180 minutes to complete the exam.

Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) certification exam is a challenging but rewarding certification for professionals looking to take their AWS DevOps knowledge to the next level. With the increasing demand for DevOps professionals in the industry, this certification can help you stand out from the crowd and advance your career in the field of AWS DevOps.

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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is a professional-level certification that validates an individual's expertise in DevOps practices, tools and technologies on the Amazon Web Services (AWS) platform. AWS-DevOps-Engineer-Professional Exam is designed for experienced DevOps professionals who have a strong understanding of both software development and operations, and who are proficient in using AWS services to design, deploy and manage scalable and fault-tolerant applications.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q164-Q169):

NEW QUESTION # 164
A healthcare provider has a hybrid architecture that includes 120 on-premises VMware servers running RedHat and 50 Amazon EC2 instances running Amazon Linux. The company is in the middle of an all-in migration to AWS and wants to implement a solution for collecting information from the on-premises virtual machines and the EC2 instances for data analysis. The information includes:
- Operating system type and version
- Data for installed applications
- Network configuration information, such as MAC and IP addresses
- Amazon EC2 instance AMI ID and IAM profile
How can these requirements be met with the LEAST amount of administration?

  • A. Write a shell script to run as a cron job on EC2 instances to collect and push the data to Amazon S3.
    For on-premises resources, use VMware vSphere to collect the data and write it into a file gateway for storing the data in S3. Finally, use Amazon Athena on the S3 bucket tor analytics.
  • B. Use AWS Application Discovery Service for deploying Agentless Discovery Connector in the VMware environment and Discovery Agents on the EC2 instances for collecting the data. Then use the AWS Migration Hub Dashboard for analytics.
  • C. Install AWS Systems Manager agents on both the on-premises virtual machines and the EC2 instances. Enable inventory collection and configure resource data sync to an Amazon S3 bucket to analyze the data with Amazon Athena.
  • D. Use a script on the on-premises virtual machines as well as the EC2 instances to gather and push the data into Amazon S3, and then use Amazon Athena for analytics.

Answer: C


NEW QUESTION # 165
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, 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.
  • B. Using ebextensions, configure the option setting MeasureName to CPUUtilization within the aws:autoscaling:trigger namespace.
  • C. 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.
  • D. 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.

Answer: C


NEW QUESTION # 166
A Solutions Architect is designing a web application. The web and application tiers need to access the
Internet, but they cannot be accessed from the Internet.
Which of the following steps is required?

  • A. Launch Amazon EC2 instances in the public subnet and change the security group to allow outbound
    traffic on port 80.
  • B. Launch a NAT gateway in the private subnet and deploy a NAT instance in the private subnet.
  • C. Attach an Elastic IP address to each Amazon EC2 instance and add a route from the private subnet to
    the public subnet.
  • D. Launch a NAT gateway in the public subnet and add a route to it from the private subnet.

Answer: D


NEW QUESTION # 167
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 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.
  • B. 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.
  • C. 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.
  • 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 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.

Answer: A

Explanation:
https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-conditional-branch.html


NEW QUESTION # 168
A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer and then shifting the traffic away using an Amazon Route
53 weighted routing policy
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambda The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base Which deployment strategy will meet these requirements?

  • A. Use AWS CDK to deploy API Gateway and Lambda functions. When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions. Use a Route 53 failover routing policy for the canary release strategy.
  • B. Use AWS Elastic Beanstalk to deploy API Gateway and Lambda functions When code needs to be changed, deploy a new version of the API and Lambda functions. Shift traffic gradually using an Elastic Beanstalk blue/green deployment.
  • C. Use AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer. When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually
  • D. Use AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy Promote the new version when testing is complete.

Answer: D


NEW QUESTION # 169
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