100% PASS ACCURATE AMAZON - AWS-DEVOPS-ENGINEER-PROFESSIONAL - ONLINE AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL TRAINING

100% Pass Accurate Amazon - AWS-DevOps-Engineer-Professional - Online AWS Certified DevOps Engineer - Professional Training

100% Pass Accurate Amazon - AWS-DevOps-Engineer-Professional - Online AWS Certified DevOps Engineer - Professional Training

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q446-Q451):

NEW QUESTION # 446
A company wants to migrate a legacy application to AWS and develop a deployment pipeline that uses AWS services only. A DevOps engineer is migrating all of the application code from a Git repository to AWS CodeCommit while preserving the history of the repository. The DevOps engineer has set all the permissions within CodeCommit, installed the Git client and the AWS CLI on a local computer, and is ready to migrate the repository.
Which actions will follow?

  • A. Create the CodeCommit repository using the AWS Management Console or the AWS CLI.
    Clone the Git repository with a mirror argument to the local computer and push the repository to CodeCommit.
    Validate that the files were migrated, and share the CodeCommit repository.
  • B. Create the CodeCommit repository using the AWS CLI.
    Clone the Git repository directly to CodeCommit using the AWS CLI.
    Validate that the files were migrated, and publish the CodeCommit repository.
  • C. Create the CodeCommit repository using the AWS Management Console.
    Use the console to clone the Git repository into the CodeCommit repository.
    Validate that the files were migrated, and publish the CodeCommit repository.
  • D. Create the CodeCommit repository using the AWS Management Console.
    Clone both the Git and CodeCommit repositories to the local computer.
    Copy the files from the Git repository to the CodeCommit repository on the local computer.
    Commit the CodeCommit repository. Validate that the files were migrated, and share the CodeCommit repository.

Answer: A


NEW QUESTION # 447
The operations team and the development team want a single place to view both operating system and application logs.
How should you implement this using AWS services? Choose 2 answers

  • A. Using AWS CloudFormation, merge the application logs with the operating system logs, and use IAM Roles to allow both teams to have access to view console output from Amazon EC2.
  • B. Using AWS CloudFormation and configuration management, set up remote logging to send events via UDP packets to CloudTrail.
  • C. Using configuration management, set up remote logging to send events to Amazon Kinesis and insert these into Amazon CloudSearch or Amazon Redshift, depending on available analytic tools.
  • D. Using AWS CloudFormation, create a CloudWatch Logs LogGroup.
    Because the Cloudwatch Log agent automatically sends all operating system logs, you only have to configure the application logs for sending off-machine.
  • E. Using AWS CloudFormation, create a CloudWatch Logs LogGroup and send the operating system and application logs of interest using the CloudWatch Logs Agent.

Answer: C,E


NEW QUESTION # 448
A DevOps Engineer is architecting a continuous development strategy for a company's software as a service (SaaS) web application running on AWS. For application and security reasons, users subscribing to this application are distributed across multiple Application Load Balancers (ALBs), each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances. The application does not require a build stage, and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs, Auto Scaling groups, and EC2 fleets.
Which architecture will meet these requirements with the LEAST amount of configuration?

  • A. Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.
  • B. Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB- Auto Scaling group pair.
  • C. Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.
  • D. Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.

Answer: B


NEW QUESTION # 449
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Event Management (SIEM) system.
How can this be accomplished?

  • A. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehose, which will push the findings to the S3 bucket.
  • B. Enable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.
  • C. Enable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write an application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.
  • D. Enable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehose, which should push the findings to the S3 bucket.

Answer: A


NEW QUESTION # 450
A company wants to adopt a methodology for handling security threats from leaked and compromised IAM access keys. The DevOps Engineer has been asked to automate the process of acting upon compromised access keys, which includes identifying users, revoking their permissions, and sending a notification to the Security team.
Which of the following would achieve this goal?

  • A. Use the AWS Trusted Advisor generated security report for access keys. Use Amazon EMR to run analytics on the report. Identify compromised IAM access keys and delete them. Use Amazon CloudWatch with an EMR Cluster State Change event to notify the Security team.
  • B. Use AWS Trusted Advisor to identify compromised access keys. Create an Amazon CloudWatch Events rule with Trusted Advisor as the event source, and AWS Lambda and Amazon SNS as targets. Use AWS Lambda to delete compromised IAM access keys and Amazon SNS to notify the Security team.
  • C. Use AWS Lambda with a third-party library to scan for compromised access keys. Use scan result inside AWS Lambda and delete compromised IAM access keys. Create Amazon CloudWatch custom metrics for compromised keys. Create a CloudWatch alarm on the metrics to notify the Security team.
  • D. Use the AWS Trusted Advisor generated security report for access keys. Use AWS Lambda to scan through the report. Use scan result inside AWS Lambda and delete compromised IAM access keys. Use Amazon SNS to notify the Security team.

Answer: B

Explanation:
Explanation/Reference:
Reference https://d0.awsstatic.com/whitepapers/aws-security-whitepaper.pdf


NEW QUESTION # 451
......

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