Instant Access Amazon.DOP-C01.v2023-04-10.q208 Actual Practice Test Engine for Free (Page 5)

Question 16

You have a development team that is planning for continuous release cycles for their application. They want to use the AWS services available to be able to deploy a web application and also ensure they can rollback to previous versions fairly quickly. Which of the following options can be used to achieve this requirement.
Choose 2 answers from the options given below

A.Usethe Elastic beanstalk service. Use Application versions and upload therevisions of your application.
Deploy the revisions accordingly and rollback toprior versions accordingly.
B.Usethe Elastic beanstalk service. Create separate environments for eachapplication revision. Revert back to an environment incase the new environmentdoes not work.
C.Usethe Opswork service to deploy the web instances. Deploy the app to the Opsworkweb layer. Rollback using the Deploy app in Opswork.
D.Usethe Cloudformation service. Create separate templates for each applicationrevision and deploy them accordingly.

Correct Answer: A,C

Explanation
The AWS documentation mentions the following
In Elastic Beanstalk, an application version refers to a specific, labeled iteration of deployable code for a web application. An application version points to an Amazon Simple Storage Service (Amazon S3) object that contains the deployable code such as a Java WAR file. An application version is part of an application. Applications can have many versions and each application version is unique. In a running environment, you can deploy any application version you already uploaded to the application or you can upload and immediately deploy a new application version. You might upload multiple application versions to test differences between one version of your web application and another.
For more information on Elastic beanstalk components, please refer to the below link:
http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/concepts.compo nents.html
An AWS OpsWorks Stacks app represents code that you want to run on an application server. The code itself resides in a repository such as an Amazon S3 archive; the app contains the information required to deploy the code to the appropriate application server instances. For more information on Opswork apps, please refer to the below link:
* http://docs.aws.amazon.com/opsworks/latest/userguide/workingapps.html Option B is incorrect. Our scenario is focusing on continuous development and continuous releases of the application versions. Since this is going to be an ongoing process, it is a best practice to upload the revision of your application and if required roll back to previous version.
Option D is incorrect. This question gives importance to the application hosted on the infrastructure.
"They want to use the AWS services available to be able to deploy a web application and also ensure they can rollback to previous versions of the application quickly." In this case, Cloud Formation provides a common language for you to describe and provision all the infrastructure resources in your cloud environment. Cloud Formation allows you to use a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts.
Hence, Cloud Formation is nothing to do with an application hosted on the infrastructure.

Question 17

You need to implement A/B deployments for several multi-tier web applications. Each of them has Its Individual infrastructure:
Amazon Elastic Compute Cloud (EC2) front-end servers, Amazon ElastiCache clusters, Amazon Simple Queue Service (SQS) queues, and Amazon Relational Database (RDS) Instances.
Which combination of services would give you the ability to control traffic between different deployed versions of your application? (Choose one.)

A.Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources (in the same template) for each web application.
New versions would be deployed using AWS CloudFormation templates to create new Elastic Beanstalk environments, and traffic would be balanced between them using weighted Round Robin (WRR) records in Amazon Route53.
B.Create one AWS Elastic Beanstalk application and all AWS resources (using configuration files inside the application source bundle) for each web application.
New versions would be deployed a-eating Elastic Beanstalk environments and using the Swap URLs feature.
C.Create one Elastic Beanstalk application and all AWS resources (using configuration files inside the application source bundle) for each web application.
New versions would be deployed updating the Elastic Beanstalk application version for the current Elastic Beanstalk environment.
D.Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources (in the same template) for each web application.
New versions would be deployed updating a parameter on the CloudFormation template and passing it to the cfn-hup helper daemon, and traffic would be balanced between them using Weighted Round Robin (WRR) records in Amazon Route 53.

Question 18

A company wants 10 use AWS development tools to replace Its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates Me permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.
Which solution will meet these requirements?

A.Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and reregister instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.
B.Use AWS CodePipeline to trigger AWS CodeBuild to test the application Use bash scripts invoked by AWS CodeDeploy's appspec yml file to restart services. Unregister and re-register the
instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.
C.Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.
D.Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB Use the appspec.yml file to update file permissions without a custom script.

Question 19

You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging
any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is
going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very
hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your
CTO?

A.Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as
they come in and flag issues.
B.Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR
clusterjobs to perform adhoc MapReduce analysis and write new queries when needed.
C.Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to
perform at-scale stream processing queries on the log chunks and flag issues.
D.Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elastic search
Service Domain running Kibana 4 and perform log analysis on a search cluster.

Question 20

What are the default memory limit policies for a Docker container?

A.Limited memory, limited kernel memory
B.Unlimited memory, limited kernel memory
C.Limited memory, unlimited kernel memory
D.Unlimited memory, unlimited kernel memory

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