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NEW QUESTION 27
A global company with distributed Development teams built a web application using a microservices architecture running on Amazon ECS. Each application service is independent and runs as a service in the ECS cluster. The container build files and source code reside in a private GitHub source code repository.
Separate ECS clusters exist for development, testing, and production environments.
Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster.
What should the DevOps Engineer recommend as an automated solution to these requirements?
- A. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
- B. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment.
- C. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the ECS cluster to build and push images to Amazon ECR, based on the container build files in S3.
- D. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
Answer: C
NEW QUESTION 28
Your system automatically provisions EIPs to EC2 instances in a VPC on boot. The system provisions the whole VPC and stack at once. You have two of them per VPC. On your new AWS account, your attempt to create a Development environment failed, after successfully creating Staging and Production environments in the same region. What happened?
- A. You didn't choose the Development version of the AMI you are using.
- B. You didn't set the Development flag to true when deploying EC2 instances.
- C. You hit the soft limit of 2 VPCs per region and requested a 3rd.
- D. You hit the soft limit of 5 EIPs per region and requested a 6th.
Answer: D
Explanation:
There is a soft limit of 5 EIPs per Region for VPC on new accounts. The third environment could not allocate the 6th EIP.
http://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html#limits_vpc
NEW QUESTION 29
For AWS CloudFormation, which stack state refuses UpdateStack calls?
- A. <code>UPDATE_ROLLBACK_FAILED</code>
- B. <code>UPDATE_COMPLETE</code>
- C. <code>UPDATE_ROLLBACK_COMPLETE</code>
- D. <code>CREATE_COMPLETE</code>
Answer: A
Explanation:
When a stack is in the UPDATE_ROLLBACK_FAILED state, you can continue rolling it back to return it to a working state (to UPDATE_ROLLBACK_COMPLETE). You cannot update a stack that is in the UPDATE_ROLLBACK_FAILED state. However, if you can continue to roll it back, you can return the stack to its original settings and try to update it again.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks- continueu pdaterollback.html
NEW QUESTION 30
A company indexes all of its Amazon CloudWatch Logs on Amazon ES and uses Kibana to view a dashboard for actionable insight. The company wants to restrict user access to Kibana by user.
Which actions can a DevOps Engineer take to meet this requirement? (Choose two.)
- A. Use AWS SSO to offer user name and password protection for Kibana.
- B. Create a proxy server with user authentication in an Auto Scaling group, and restrict access of the Amazon ES endpoint to an Auto Scaling group tag.
- C. Create a proxy server with AWS IAM user, and restrict access of the Amazon ES endpoint to the IAM user.
- D. Create a proxy server with user authentication and an Elastic IP address, and restrict access of the Amazon ES endpoint to the IP address.
- E. Use Amazon Cognito to offer user name and password protection for Kibana.
Answer: C,E
Explanation:
Explanation/Reference: https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-cognito-auth.html
NEW QUESTION 31
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