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

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs to an Amazon S3 bucket Logs are rarely accessed after 90 days and must be retained tor 10 years.

Which combination of steps should a DevOps engineer take to meet these requirements? (Select TWO.)

Options:

A.

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

B.

Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.

C.

Configure a CloudWatch Logs subscription fitter to stream all logs to an S3 bucket.

D.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.

E.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.

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Question 2

A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs to an Amazon S3 bucket. Logs are rarely accessed after 90 days and must be retained for 10 years.

Which combination of steps should a DevOps engineer take to meet these requirements? (Select TWO.)

Options:

A.

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

B.

Configure a CloudWatch Logs subscription filter to use Amazon Data Firehose to stream all logs to an S3 bucket.

C.

Configure a CloudWatch Logs subscription filter to stream all logs to an S3 bucket.

D.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier Instant Retrieval after 90 days and to expire logs after 3,650 days.

E.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3,650 days.

Question 3

A company wants to run a containerized application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that has private access enabled. The company needs to create a pipeline in AWS CodePipeline to deploy the application to the EKS cluster.

Which solution will meet this requirement?

Options:

A.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

B.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

C.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store the aws-auth ConfigMap to authenticate into the cluster.

D.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use the Amazon EKS cluster access management (CAM) API with the CodePipeline service role as an access entry.