Amazon Web Services examstrust amazon Web Services Dop-c02 Online Access by Zayna q75 vce pdf

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Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Code:	DOP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	419 Q&A's	Shared By:	zayna

Question 28

A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host its machine learning (ML) application. As the ML model and the container image size grow, the time that new pods take to start up has increased to several minutes.

A DevOps engineer needs to reduce the startup time to seconds. The solution must also reduce the startup time to seconds when the pod runs on nodes that were recently added to the cluster.

The DevOps engineer creates an Amazon EventBridge rule that invokes an automation in AWS Systems Manager. The automation prefetches the container images from an Amazon Elastic Container Registry (Amazon ECR) repository when new images are pushed to the repository. The DevOps engineer also configures tags to be applied to the cluster and the node groups.

What should the DevOps engineer do next to meet the requirements?

Options:

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's control plane nodes. Create a Systems Manager State Manager association that uses the control plane nodes' tags to prefetch corresponding container images.

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's nodes. Create a Systems Manager State Manager association that uses the nodes' machine size to prefetch corresponding container images.

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's control plane nodes. Create a Systems Manager State Manager association that uses the nodes' tags to prefetch corresponding container images.

Discussion

Question 29

A company manages AWS accounts for application teams in AWS Control Tower. Individual application teams are responsible for securing their respective AWS accounts.

A DevOps engineer needs to enable Amazon GuardDuty for all AWS accounts in which the application teams have not already enabled GuardDuty. The DevOps engineer is using AWS CloudFormation StackSets from the AWS Control Tower management account.

How should the DevOps engineer configure the CloudFormation template to prevent failure during the StackSets deployment?

Options:

Create a CloudFormation custom resource that invokes an AWS Lambda function. Configure the Lambda function to conditionally enable GuardDuty if GuardDuty is not already enabled in the accounts.

Use the Conditions section of the CloudFormation template to enable GuardDuty in accounts where GuardDuty is not already enabled.

Use the CloudFormation Fn. GetAtt intrinsic function to check whether GuardDuty is already enabled If GuardDuty is not already enabled use the Resources section of the CloudFormation template to enable GuardDuty.

Manually discover the list of AWS account IDs where GuardDuty is not enabled Use the CloudFormation Fn: ImportValue intrinsic function to import the list of account IDs into the CloudFormation template to skip deployment for the listed AWS accounts.

Discussion

Question 30

A company has a legacy application A DevOps engineer needs to automate the process of building the deployable artifact for the legacy application. The solution must store the deployable artifact in an existing Amazon S3 bucket for future deployments to reference

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

Create a custom Docker image that contains all the dependencies tor the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.

Launch a new Amazon EC2 instance Install all the dependencies (or the legacy application on the EC2 instance Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.

Create a custom EC2 Image Builder image Install all the dependencies for the legacy application on the image Launch a new Amazon EC2 instance from the image Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.

Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones Create a custom Docker image that contains all the dependencies for the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 buc

Discussion

Question 31

A company’s web app runs on EC2 with a relational database. The company wants highly available multi-Region architecture with latency-based routing for global customers.

Which solution meets these requirements?

Options:

ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.

Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.

Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.

Discussion

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