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DOP-C02 Exam Dumps - AWS Certified DevOps Engineer - Professional

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Question # 105

A company uses AWS Key Management Service (AWS KMS) keys and manual key rotation to meet regulatory compliance requirements. The security team wants to be notified when any keys have not been rotated after 90 days.

Which solution will accomplish this?

A.

Configure AWS KMS to publish to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.

B.

Configure an Amazon EventBridge event to launch an AWS Lambda function to call the AWS Trusted Advisor API and publish to an Amazon Simple Notification Service (Amazon SNS) topic.

C.

Develop an AWS Config custom rule that publishes to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.

D.

Configure AWS Security Hub to publish to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.

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Question # 106

A company runs a data processing pipeline on AWS every day. The pipeline downloads data from an Amazon S3 bucket to Amazon EC2 instances. The company runs a batch analysis process on the downloaded data by manually running a custom Python script. The batch process usually takes 10 to 30 minutes to complete the analysis.

A DevOps engineer wants to modernize the data processing pipeline. The DevOps engineer needs to set up a new event-driven pipeline that sends notifications to company management when the batch process is finished.

Which solution will meet these requirements with the LEAST operational overhead?

A.

Invoke a Python shell job in AWS Glue to run the custom Python script in response to an Amazon EventBridge rule when a new file is uploaded to the S3 bucket. Use EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the AWS Glue job finishes running.

B.

Run the custom Python script on an EC2 instance when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

C.

Invoke an AWS Lambda function by using AWS Step Functions with a retry mechanism that is based on an S3 event notification when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Lambda function finishes running.

D.

Run the custom Python script on an EC2 instance by creating a new custom API that points to the Python script. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

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Question # 107

A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.

The company ' s DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.

Which solution will meet these requirements?

A.

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run a CodeGuru review.

B.

Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a CodeBuild report group. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of JUNITXML in the build phase section. Configure the test reports to be uploaded to the new CodeBuild report group.

C.

Create a new AWS CodeArtifact repository. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create an appspec.yml file in the original CodeCommit repository. In the appspec.yml file, define the actions to run the unit tests with an output of CUCUMBERJSON in the build phase section. Configure the tests reports to be sent to the new CodeArtifact repository.

D.

Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a new Amazon S3 bucket. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of HTML in the phases section. In the reports section, upload the test reports to the S3 bucket.

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Question # 108

A company is examining its disaster recovery capability and wants the ability to switch over its daily operations to a secondary AWS Region. The company uses AWS CodeCommit as a source control tool in the primary Region.

A DevOps engineer must provide the capability for the company to develop code in the secondary Region. If the company needs to use the secondary Region, developers can add an additional remote URL to their local Git configuration.

Which solution will meet these requirements?

A.

Create a CodeCommit repository in the secondary Region. Create an AWS CodeBuild project to perform a Git mirror operation of the primary Region ' s CodeCommit repository to the secondary Region ' s CodeCommit repository. Create an AWS Lambda function that invokes the CodeBuild project. Create an Amazon EventBridge rule that reacts to merge events in the primary Region ' s CodeCommit repository. Configure the EventBridge rule to invoke the L

B.

Create an Amazon S3 bucket in the secondary Region. Create an AWS Fargate task to perform a Git mirror operation of the primary Region ' s CodeCommit repository and copy the result to the S3 bucket. Create an AWS Lambda function that initiates the Fargate task. Create an Amazon EventBridge rule that reacts to merge events in the CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.

C.

Create an AWS CodeArtifact repository in the secondary Region. Create an AWS CodePipeline pipeline that uses the primary Region ' s CodeCommit repository for the source action. Create a Cross-Region stage in the pipeline that packages the CodeCommit repository contents and stores the contents in the CodeArtifact repository when a pull request is merged into the CodeCommit repository.

D.

Create an AWS Cloud9 environment and a CodeCommit repository in the secondary Region. Configure the primary Region ' s CodeCommit repository as a remote repository in the AWS Cloud9 environment. Connect the secondary Region ' s CodeCommit repository to the AWS Cloud9 environment.

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Question # 109

A company uses a pipeline in AWS CodePipeline to deploy an application. The company created an AWS Fault Injection Service (AWS FIS) experiment template to test the resiliency of the application. A DevOps engineer needs to integrate the experiment into the pipeline.

Which solution will meet this requirement?

A.

Configure a new stage in the pipeline that includes an AWS FIS action. Configure the action to reference the AWS FIS experiment template. Grant the pipeline access to start the experiment.

B.

Create an Amazon EventBridge scheduler. Grant the scheduler permission to start the AWS FIS experiment. Configure a new stage in the pipeline that includes an action to invoke the EventBridge scheduler.

C.

Create an AWS Lambda function to start the AWS FIS experiment. Grant the Lambda function permission to start the experiment. Create a new stage in the pipeline that has a Lambda action. Set the action to invoke the Lambda function.

D.

Export the AWS FIS experiment template to an Amazon S3 bucket. Create an AWS CodeBuild unit test project that has a buildspec that starts the AWS FIS experiment. Grant the CodeBuild project access to start the experiment. Configure a new stage in the pipeline that includes an action to run the CodeBuild unit test project.

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Question # 110

A company has a web application that is hosted on Amazon EC2 instances. The company is deploying the application into multiple AWS Regions. The application consists of dynamic content such as WebSocket-based real-time product updates. The company uses Amazon Route 53 to manage all DNS records. Which solution will provide multi-Region access to the application with the LEAST latency?

A.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Create a Route 53 A record with a latency-based routing policy. Add IP addresses of the ALBs as the value of the record.

B.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Deploy an Amazon CloudFront distribution with an origin group that contains the ALBs as origins. Create a Route 53 alias record that points to the CloudFront distribution ' s DNS address.

C.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Create a Route 53 A record with a multivalue answer routing policy. Add IP addresses of the NLBs as the value of the record.

D.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Deploy an AWS Global Accelerator standard accelerator with an endpoint group for each NLB. Create a Route 53 alias record that points to the accelerator ' s DNS address.

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Question # 111

A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to deploy its web applications on containers. The web applications contain confidential data that cannot be decrypted without specific credentials.

A DevOps engineer has stored the credentials in AWS Secrets Manager. The secrets are encrypted by an AWS Key Management Service (AWS KMS) customer managed key. A Kubernetes service account for a third-party tool makes the secrets available to the applications. The service account assumes an IAM role that the company created to access the secrets.

The service account receives an Access Denied (403 Forbidden) error while trying to retrieve the secrets from Secrets Manager.

What is the root cause of this issue?

A.

The IAM role that is attached to the EKS cluster does not have access to retrieve the secrets from Secrets Manager.

B.

The key policy for the customer managed key does not allow the Kubernetes service account IAM role to use the key.

C.

The key policy for the customer managed key does not allow the EKS cluster IAM role to use the key.

D.

The IAM role that is assumed by the Kubernetes service account does not have permission to access the EKS cluster.

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Question # 112

A company ' s application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.

The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.

Which combination of steps will meet these requirements? (Select TWO.)

A.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.

B.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.

C.

For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

D.

For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

E.

For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

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