Online Access Free Amazon.AWS-DevOps-Engineer-Professional.v2022-01-20.q245 Practice Test (Page 10)

AWS-DevOps-Engineer-Professional Exam Question 41

Your application's Auto Scaling Group scales up too quickly, too much, and stays scaled when traffic decreases. What should you do to fix this?

A.Set a longer cooldown period on the Group, so the system stops overshooting the target capacity.
The issue is that the scaling system doesn't allow enough time for new instances to begin servicing requests before measuring aggregate load again.

B.Calculate the bottleneck or constraint on the compute layer, then select that as the new metric, and set the metric thresholds to the bounding values that begin to affect response latency.

C.Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes more of an increase in demand before beginning.

D.Use larger instances instead of lots of smaller ones, so the Group stops scaling out so much and wasting resources as the OS level, since the OS uses a higher proportion of resources on smaller instances.

AWS-DevOps-Engineer-Professional Exam Question 42

A DevOps Engineer must ensure all IAM entity configurations across multiple AWS accounts in AWS Organizations are compliant with corporate IAM policies.
Which combination of steps will accomplish this? (Choose two.)

A.Enable AWS Trusted Advisor in Organizations for all accounts to report on noncompliant IAM entities.

B.Configure an AWS Config aggregator in the Organizations master account for all accounts.

C.Deploy AWS Config rules to the master account in Organizations that match corporate IAM policies.

D.Apply an SCP in Organizations to ensure compliance of IAM entities.

E.Deploy AWS Config rules to all accounts in Organizations that match the corporate IAM policies.

AWS-DevOps-Engineer-Professional Exam Question 43

You were just hired as a DevOps Engineer for a startup. Your startup uses AWS for 100% of their infrastructure. They currently have no automation at all for deployment, and they have had many failures while trying to deploy to production. The company has told you deployment process risk mitigation is the most important thing now, and you have a lot of budget for tools and AWS resources.
Their stack:
2-tier API
Data stored in DynamoDB or S3, depending on type
Compute layer is EC2 in Auto Scaling Groups
They use Route53 for DNS pointing to an ELB
An ELB balances load across the EC2 instances
The scaling group properly varies between 4 and 12 EC2 servers. Which of the following approaches, given this company's stack and their priorities, best meets the company's needs?

A.Model the stack in AWS Elastic Beanstalk as a single Application with multiple Environments. Use Elastic Beanstalk's Rolling Deploy option to progressively roll out application code changes when promoting across environments.

B.Model the stack in 3 CloudFormation templates: Data layer, compute layer, and networking layer.
Write stack deployment and integration testing automation following Blue-Green methodologies.

C.Model the stack in AWS OpsWorks as a single Stack, with 1 compute layer and its associated ELB.
Use Chef and App Deployments to automate Rolling Deployment.

D.Model the stack in 1 CloudFormation template, to ensure consistency and dependency graph resolution. Write deployment and integration testing automation following Rolling Deployment methodologies.

AWS-DevOps-Engineer-Professional Exam Question 44

Customers have recently been complaining that your web application has randomly stopped responding.
During a deep dive of your logs, the team has discovered a major bug in your new Java web application.
This bug is causing a memory leak that eventually causes the application to crash.
Your web application runs on Amazon EC2 and was built with AWS CloudFormation.
Which techniques should you use to help detect these problems faster, as well as help eliminate the server's unresponsiveness? Choose 2 answers

A.Create a custom CloudWatch metric that you push your JVM memory usage to.
Create a Cloudwatch alarm that triggers an Amazon SNS notification to page your team when the application memory usage becomes too large.

B.Update your CloudWatch metric granularity config for all Amazon EC2 memory metrics to support five- second granularity.
Create a CloudWatch alarm that triggers an Amazon SNS notification to page your team when the application memory becomes too large.

C.Update your AWS CloudFormation configuration and enable a CustomResource that uses cfn- signal to detect memory leaks.

D.Update your AWS CloudFormation configuration to take advantage of CloudWatch metrics Agent.
Configure the CloudWatch Metrics Agent to monitor memory usage and trigger an Amazon SNS alarm.

E.Update your AWS CloudFormation configuration to take advantage of Auto Scaling groups.
Configure an Auto Scaling group policy to trigger off your custom CloudWatch metrics.

AWS-DevOps-Engineer-Professional Exam Question 45

A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?

A.Build a pipeline in AWS CodePipeline to download and save the latest operating system Open Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.

B.Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.

C.Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.

D.Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.

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AWS-DevOps-Engineer-Professional Exam Question 41

AWS-DevOps-Engineer-Professional Exam Question 42

AWS-DevOps-Engineer-Professional Exam Question 43

AWS-DevOps-Engineer-Professional Exam Question 44

AWS-DevOps-Engineer-Professional Exam Question 45

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