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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q457-Q462):

NEW QUESTION # 457
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 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%.
B. 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.
C. 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%.
D. 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.

Answer: D

Explanation:
Rolling with batches keep 100% up yoiu need 50%. With rolling deployments, Elastic Beanstalk splits the environment's EC2 instances into batches and deploys the new version of the application to one batch at a time, leaving the rest of the instances in the environment running the old version of the application. https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html

NEW QUESTION # 458
You have just been assigned to take care of the Automated resources which have been setup by your company in AWS. You are looking at integrating some of the company's chef recipes to be used for the existing Opswork stacks already setup in AWS. But when you go to the recipes section, you cannot see the option to add any recipes. What could be the reason for this?

A. Onceyou create layers in the stack, you cannot assign custom recipe's, this needsto be done when the layers are created.
B. Onceyou create a stack, you cannot assign custom recipe's, this needs to be donewhen the stack is created.
C. Thestacks were created without the custom cookbooks option. Just change the stacksettings accordingly.
D. Thestack layers were created without the custom cookbooks option. Just change thelayer settings accordingly.

Answer: C

Explanation:
Explanation
The AWS Documentation mentions the below
To have a stack install and use custom cookbooks, you must configure the stack to enable custom cookbooks, if it is not already configured. You must then provide the repository URL and any related information such as a password.
For more information on Custom cookbooks for Opswork, please visit the below URL:
* http://docs.aws.amazon.com/opsworks/latest/userguide/workingcookbook-i nstallingcustom-enable.html

NEW QUESTION # 459
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has 200 licenses and is planning to run 200 server nodes concurrently at most. The company has requested the following features: " A mechanism to automate the use of the licenses at scale. " Creation of a dashboard to use in the future to verify which licenses are available at any moment. What is the MOST effective way to accomplish these requirements?

A. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
B. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
C. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.
D. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.

Answer: C

NEW QUESTION # 460
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 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.
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 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.
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: A

NEW QUESTION # 461
You need to store a large volume of data. The data needs to be readily accessible for a short period, but then needs to be archived indefinitely after that. What is a cost-effective solution?

A. Storeyour data in Amazon S3, and use lifecycle policies to archive to Amazon Glacier
B. Storeyour data in Amazon S3, and use lifecycle policies to archive toS3-lnfrequently Access
C. Storeall the data in S3 so that it can be more cost effective
D. Storeyour data in an EBS volume, and use lifecycle policies to archive to AmazonGlacier.

Answer: A

Explanation:
Explanation
The AWS documentation mentions the following on Lifecycle policies
Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The configuration is a set of one or more rules, where each rule defines an action for Amazon S3 to apply to a group of objects. These actions can be classified as follows:
Transition actions - In which you define when objects transition to another storage class. For example, you may choose to transition objects to the STANDARDJ A (IA, for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
Expiration actions - In which you specify when the objects expire. Then Amazon S3 deletes the expired objects on your behalf. For more information on S3 Lifecycle policies, please visit the below URL
* http://docs.aws.a
mazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html

NEW QUESTION # 462
......

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Exam DOP-C01 Course Exam Reliable Amazon Certifications | Exam DOP-C01 Certification Cost

Exam DOP-C01 Certification Cost & Reliable DOP-C01 Test Review

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q457-Q462):

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