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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q31-Q36):

NEW QUESTION # 31
A company runs a production application workload in a single AWS account that uses Amazon Route 53, AWS Elastic Beanstalk, and Amazon RDS. In the event of a security incident, the Security team wants the application workload to fail over to a new AWS account. The Security team also wants to block all access to the original account immediately, with no access to any AWS resources in the original AWS account, during forensic analysis.
What is the most cost-effective way to prepare to fail over to the second account prior to a security incident?

A. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Mirror the Elastic Beanstalk configuration in a different account. Enable RDS Database Read Replicas in a different account.
B. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Save/copy the Elastic Beanstalk configuration files in a different AWS account. Copy snapshots of the RDS Database to a different account.
C. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident.
Mirror the configuration of Elastic Beanstalk in a different account. Copy snapshots of the RDS database to a different account.
D. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident.
Save/copy Elastic Beanstalk configuration files to a different account. Enable the RDS database read replica in a different account.

Answer: B

Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environment-configuration- savedconfig.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/hosted-zones-migrating.html

NEW QUESTION # 32
You have an I/O and network-intensive application running on multiple Amazon EC2 instances that cannot handle a large ongoing increase in traffic. The Amazon EC2 instances are using two Amazon EBS PIOPS volumes each, and each instance is identical.
Which of the following approaches should be taken in order to reduce load on the instances with the least disruption to the application?

A. Stopeach instance and change each instance to a larger Amazon EC2 instance typethat has enhanced networking enabled and is Amazon EBS-optimized. Ensure thatRAID striping is also set up on each instance.
B. Createan AMI from each instance, and set up Auto Scaling groups with a largerinstance type that has enhanced networking enabled and is Amazon EBS-optimized.
C. Addan instance-store volume for each running Amazon EC2 instance and implementRAID striping to improve I/O performance.
D. Addan Amazon EBS volume for each running Amazon EC2 instance and implement RAIDstripingto improve I/O performance.
E. Createan AMI from an instance, and set up an Auto Scaling group with an instance typethat has enhanced networking enabled and is Amazon EBS-optimized.

Answer: E

Explanation:
Explanation
The AWS Documentation mentions the following on AMI's
An Amazon Machine Image (AMI) provides the information required to launch an instance, which is a virtual server in the cloud. You specify an AM I when you launch an instance, and you can launch as many instances from the AMI as you need. You can also launch instances from as many different AMIs as you need.
For more information on AMI's, please visit the link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/AMIs.html

NEW QUESTION # 33
You currently have EC2 Instances hosting an application. These instances are part of an Autoscaling Group.
You now want to change the instance type of the EC2 Instances. How can you manage the deployment with
the least amount of downtime

A. Use the Rolling Update feature which is available for EC2 Instances.
B. Manually terminate the instances, launch new instances with the new instance type and attach them to
the Autoscaling group
C. Terminate the existing Auto Scalinggroup. Create a new launch configuration with the new Instance
type. Attach that to the new Autoscaing Group.
D. Use the AutoScalingRollingUpdate policy on CloudFormation Template Auto Scalinggroup

Answer: D

Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to
define how an Auto Scalinggroup resource is updated when
an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to
perform a rolling update, which is done by specifying the
AutoScalingRollingUpdate policy. This retains the same Auto Scalinggroup and replaces old instances with
new ones, according to the parameters specified.
For more information on AutoScaling Rolling Update, please refer to the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION # 34
A vendor needs access to your AWS account. They need to be able to read protected messages in a private S3 bucket. They have a separate AWS account. Which of the solutions below is the best way to do this?

A. Allowthe vendor to ssh into your EC2 instance and grant them an 1AM role with fullaccess to the bucket.
B. Createan S3 bucket policy that allows the vendor to read from the bucket from theirAWS account.
C. Createa cross-account 1AM role with permission to access the bucket, and grantpermission to use the role to the vendor AWS account.
D. Createan 1AM User with API Access Keys. Give the vendor the AWS Access Key ID and AWSSecret Access Key for the user.

Answer: C

Explanation:
Explanation
The AWS Documentation mentions the following on cross account roles
You can use AWS Identity and Access Management (I AM) roles and AWS Security Token Service (STS) to set up cross-account access between AWS accounts. When you assume an 1AM role in another AWS account to obtain cross-account access to services and resources in that account, AWS CloudTrail logs the cross-account activity. For more information on Cross account roles, please visit the below URL
* http://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.htmI
* https://docs.aws.amazon.com/AmazonS3/latest/dev/example-walkthroughs-managing-access-example2.htm

NEW QUESTION # 35
A company is using Docker containers for an application deployment and wants to move its application to AWS. The company currently manages its own clusters on premises to manage the deployment of these containers. It wants to deploy its application to a managed service in AWS and wants the entire flow of the deployment process to be automated. In addition, the company has the following requirements:
- Focus first on the development workload.
- The environment must be easy to manage.
- Deployment should be repeatable and reusable for new environments.
- Store the code in a GitHub repository.
Which solution will meet these requirements?

A. Use AWS CodePipeline that triggers on a commit from the GitHub repository, build the container images with AWS CodeBuild, and publish the container images to Amazon ECR. In the final stage, use AWS CloudFormation to create an Amazon ECS environment that gets the container images from the ECR repository.
B. Create a Kubernetes Cluster on Amazon EC2. Use AWS CodePipeline to create a pipeline that is triggered when the code is committed to the repository. Create the container images with a Jenkins server on EC2 and store them in the Docker Hub. Use AWS Lambda from the pipeline to trigger the deployment to the Kubernetes Cluster.
C. Set up an Amazon ECS environment. Use AWS CodePipeline to create a pipeline that is triggered on a commit to the GitHub repository. Use AWS CodeBuild to create the container and store it in the Docker Hub. Use an AWS Lambda function to trigger a deployment and pull the new container image from the Docker Hub.
D. Set up an Amazon ECS environment. Use AWS CodePipeline to create a pipeline that is triggered on a commit to the GitHub repository. Use AWS CodeBuild to create the container images and AWS CodeDeploy to publish the container image to the ECS environment.

Answer: D

NEW QUESTION # 36
......

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David Harris David Harris

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