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NEW QUESTION 28
You have deployed an application to AWS which makes use of Autoscaling to launch new instances. You now want to change the instance type for the new instances. Which of the following is one of the action items to achieve this deployment?

A. Use Elastic Beanstalk to deploy the new application with the new instance typeB. Use Cloudformation to deploy the new application with the new instance typeC. Create new EC2 instances with the new instance type and attach it to the Autoscaling GroupD. Create a new launch configuration with the new instance type

Answer: D

Explanation:
Explanation
The ideal way is to create a new launch configuration, attach it to the existing Auto Scaling group, and terminate the running instances.
Option A is invalid because Clastic beanstalk cannot launch new instances on demand. Since the current scenario requires Autoscaling, this is not the ideal option Option B is invalid because this will be a maintenance overhead, since you just have an Autoscaling Group.
There is no need to create a whole Cloudformation
template for this.
Option D is invalid because Autoscaling Group will still launch CC2 instances with the older launch configuration For more information on Autoscaling Launch configuration, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/l_aunchConfiguration.html

 

NEW QUESTION 29
A retail company is currently hosting a Java-based application in its on-premises data center.
Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible.
Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.
What option requires the LEAST amount of management overhead to meet these requirements?

A. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in- place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.B. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.C. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in- place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.D. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

Answer: C

 

NEW QUESTION 30
An Application team has three environments for their application: development, pre-production, and production. The team recently adopted AWS CodePipeline. However, the team has had several deployments of misconfigured or nonfunctional development code into the production environment, resulting in user disruption and downtime. The DevOps Engineer must review the pipeline and add steps to identify problems with the application before it is deployed.
What should the Engineer do to identify functional issues during the deployment process?
(Choose two.)

A. Use Amazon Inspector to add a test action to the pipeline. Use the Amazon Inspector Runtime Behavior Analysis Inspector rules package to check that the deployed code complies with company security standards before deploying it to production.B. Add an AWS CodeDeploy action in the pipeline to deploy the latest version of the development code to pre-production. Add a manual approval action in the pipeline so that the QA team can test and confirm the expected functionality. After the manual approval action, add a second CodeDeploy action that deploys the approved code to the production environment.C. After the deployment process is complete, run a testing activity on an Amazon EC2 instance in a different region that accesses the application to simulate user behavior if unexpected results occur, the testing activity sends a warning to an Amazon SNS topic. Subscribe to the topic to get updates.D. Using AWS CodeBuild to add a test action to the pipeline to replicate common user activities and ensure that the results are as expected before progressing to production deployment.E. Create an AWS CodeDeploy action in the pipeline with a deployment configuration that automatically deploys the application code to a limited number of instances. The action then pauses the deployment so that the QA team can review the application functionality. When the review is complete, CodeDeploy resumes and deploys the application to the remaining production Amazon EC2 instances.

Answer: A,E

 

NEW QUESTION 31
A company is beginning to move to the AWS Cloud. Internal customers are classified into two groups according to their AWS skills: beginners and experts. The DevOps Engineer needs to build a solution to allow beginners to deploy a restricted set of AWS architecture blueprints expresses as AWS CloudFormation templates. Deployment should only be possible on predetermined Virtual Private Clouds (VPCs). However, expert users should be able to deploy blueprints without constraints. Experts should also be able to access other AWS services, as needed. How can the Engineer implement a solution to meet these requirements with the LEAST amount of overhead?

A. Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Apply template constraints to the products with rules limiting VPCs available for deployments. Create an IAM group for beginners giving them access to the portfolio. Create a separate group for experts giving them access to the templates, CloudFormation, and other AWS services.B. Create two templates for each architecture blueprint where only one of them limits the VPC available for deployments. Store the templates in Amazon DynamoDB. Create an IAM group for beginners giving them access to the constrained templates and CloudFormation. Create a separate group for experts giving them access to the unconstrained templates, CloudFormation, and other AWS services.C. Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Create an IAM role restricting VPCs available for creation of AWS resources. Apply a launch constraint to the products using this role. Create an IAM group for beginners giving them access to the portfolio. Create a separate group for experts giving them access to the portfolio and other AWS services.D. Apply constraints to the parameters in the templates, limiting the VPCs available for deployments. Store the templates on Amazon S3. Create an IAM group for beginners and give them access to the templates and CloudFormation. Create a separate group for experts, giving them access to the templates, CloudFormation, and other AWS services.

Answer: A

 

NEW QUESTION 32
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