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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 DevOps engineer is working on a member account in an organization in AWS Organizations with all features enabled. The account has sensitive data stored in Amazon S3 buckets.

The DevOps engineer must ensure that all public access to S3 buckets in the account is blocked. If the account-level public access settings change in the future, the changes must be reverted automatically so that all public access is blocked again.

Which solution meets these requirements?

Options:

A.

Enable AWS Security Hub in the account. Enable the Security Hub control to evaluate the account-level block public access settings. Enable automated remediation for the Security Hub control.

B.

Set up AWS Config in the account. Create an AWS Config managed rule that evaluates the S3 block public access settings. Enable automated remediation for the rule by using a predefined AWS Systems Manager runbook to configure S3 block public access settings.

C.

In the organization ' s management account, create an SCP that denies S3 actions from outside the AWS account. Attach the SCP to the member account.

D.

Enable Amazon Macie in the account. Create an Amazon EventBridge rule with an event pattern that matches Macie policy findings. Configure the rule with an EventBridge target to run a predefined AWS Systems Manager runbook to configure S3 block public access settings.

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Question 2

A DevOps engineer manages a Java-based application that runs in an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate. Auto scaling has not been configured for the application. The DevOps engineer has determined that the Java Virtual Machine (JVM) thread count is a good indicator of when to scale the application. The application serves customer traffic on port 8080 and makes JVM metrics available on port 9404. Application use has recently increased. The DevOps engineer needs to configure auto scaling for the application. Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure the CloudWatch agent to retrieve JVM metrics from port 9404. Create CloudWatch alarms on the JVM thread count metric to scale the application. Add a step scaling policy in Fargate to scale up and scale down based on the CloudWatch alarms.

B.

Deploy the Amazon CloudWatch agent as a container sidecar. Configure a metric filter for the JVM thread count metric on the CloudWatch log group for the CloudWatch agent. Add a target tracking policy in Fargate. Select the metric from the metric filter as a scale target.

C.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to publish the JVM metrics from port 9404 to the Prometheus workspace. Configure rules for the workspace to use the JVM thread count metric to scale the application. Add a step scaling policy in Fargate. Select the Prometheus rules to scale up and scaling down.

D.

Create an Amazon Managed Service for Prometheus workspace. Deploy AWS Distro for OpenTelemetry as a container sidecar to retrieve JVM metrics from port 9404 to publish the JVM metrics from port 9404 to the Prometheus workspace. Add a target tracking policy in Fargate. Select the Prometheus metric as a scale target.

Question 3

A company requires its internal business teams to launch resources through pre-approved AWS CloudFormation templates only. The security team requires automated monitoring when resources drift from their expected state.

Which strategy should be used to meet these requirements?

Options:

A.

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use CloudFormation drift detection to detect when resources have drifted from their expected state.

B.

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use AWS Config rules to detect when resources have drifted from their expected state.

C.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a launch constraint. Use AWS Config rules to detect when resources have drifted from their expected state.

D.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a template constraint. Use Amazon EventBridge notifications to detect when resources have drifted from their expected state.