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Pass the Amazon Web Services AWS Certified Professional DOP-C02 Questions and answers with Dumpstech

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Viewing questions 61-70 out of questions
Questions # 61:

A DevOps administrator is responsible for managing the security of a company's Amazon CloudWatch Logs log groups. The company’s security policy states that employee IDs must not be visible in logs except by authorized personnel. Employee IDs follow the pattern of Emp-XXXXXX, where each X is a digit.

An audit discovered that employee IDs are found in a single log file. The log file is available to engineers, but the engineers are not authorized to view employee IDs. Engineers currently have an AWS IAM Identity Center permission that allows logs:* on all resources in the account.

The administrator must mask the employee ID so that new log entries that contain the employee ID are not visible to unauthorized personnel.

Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Create a new data protection policy on the log group. Add an Emp-\d{6} custom data identifier configuration. Create an IAM policy that has a Deny action for the "Action":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

B.

Create a new data protection policy on the log group. Add managed data identifiers for the personal data category. Create an IAM policy that has a Deny action for the "NotAction":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

C.

Create an AWS Lambda function to parse a log file entry, remove the employee ID, and write the results to a new log file. Create a Lambda subscription filter on the log group and select the Lambda function. Grant the lambda:InvokeFunction permission to the log group.

D.

Create an Amazon Data Firehose delivery stream that has an Amazon S3 bucket as the destination. Create a Firehose subscription filter on the log group that uses the Firehose delivery stream. Remove the "logs:*" permission on the engineering accounts. Create an Amazon Macie job on the S3 bucket that has an Emp-\d{6} custom identifier.

Questions # 62:

A company has a workflow that generates a file for each of the company's products and stores the files in a production environment Amazon S3 bucket. The company's users can access the S3 bucket.

Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.

The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.

Which solution will meet these requirements?

Options:

A.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

B.

Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.

C.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

D.

Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.

Questions # 63:

A company runs an Amazon EKS cluster and must implement comprehensive logging for the control plane and nodes. The company must analyze API requests and monitor container performance.

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

Options:

A.

Enable AWS CloudTrail for control plane logging and deploy Logstash on nodes.

B.

Enable control plane logging to CloudWatch and use CloudWatch Container Insights for node and pod metrics.

C.

Enable API server logging to S3 and deploy Kubernetes Event Exporter to nodes.

D.

Use AWS Distro for OpenTelemetry and stream logs to Amazon Redshift.

Questions # 64:

A development team wants to use AWS CloudFormation stacks to deploy an application. However, the developer IAM role does not have the required permissions to provision the resources that are specified in the AWS CloudFormation template. A DevOps engineer needs to implement a solution that allows the developers to deploy the stacks. The solution must follow the principle of least privilege.

Which solution will meet these requirements?

Options:

A.

Create an IAM policy that allows the developers to provision the required resources. Attach the policy to the developer IAM role.

B.

Create an IAM policy that allows full access to AWS CloudFormation. Attach the policy to the developer IAM role.

C.

Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role a cloudformation:* action. Use the new service role during stack deployments.

D.

Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role the iam:PassRole permission. Use the new service role during stack deployments.

Questions # 65:

A company uses an Amazon Aurora PostgreSQL global database that has two secondary AWS Regions. A DevOps engineer has configured the database parameter group to guarantee an RPO of 60 seconds. Write operations on the primary cluster are occasionally blocked because of the RPO setting.

The DevOps engineer needs to reduce the frequency of blocked write operations.

Which solution will meet these requirements?

Options:

A.

Add an additional secondary cluster to the global database.

B.

Enable write forwarding for the global database.

C.

Remove one of the secondary clusters from the global database.

D.

Configure synchronous replication for the global database.

Questions # 66:

A company runs a website by using an Amazon Elastic Container Service (Amazon ECS) service that is connected to an Application Load Balancer (ALB). The service was in a steady state with tasks responding to requests successfully. A DevOps engineer updated the task definition with a new container image and deployed the new task definition to the service. The DevOps engineer noticed that the service is frequently stopping and starting new tasks because the ALB health checks are failing. What should the DevOps engineer do to troubleshoot the failed deployment?

Options:

A.

Ensure that a security group associated with the service allows traffic from the ALB.

B.

Increase the ALB health check grace period for the service.

C.

Increase the service minimum healthy percent setting.

D.

Decrease the ALB health check interval.

Questions # 67:

A company wants to ensure that their EC2 instances are secure. They want to be notified if any new vulnerabilities are discovered on their instances and they also want an audit trail of all login activities on the instances.

Which solution will meet these requirements'?

Options:

A.

Use AWS Systems Manager to detect vulnerabilities on the EC2 instances Install the Amazon Kinesis Agent to capture system logs and deliver them to Amazon S3.

B.

Use AWS Systems Manager to detect vulnerabilities on the EC2 instances Install the Systems Manager Agent to capture system logs and view login activity in the CloudTrail console.

C.

Configure Amazon CloudWatch to detect vulnerabilities on the EC2 instances Install the AWS Config daemon to capture system logs and view them in the AWS Config console.

D.

Configure Amazon Inspector to detect vulnerabilities on the EC2 instances Install the Amazon CloudWatch Agent to capture system logs and record them via Amazon CloudWatch Logs.

Questions # 68:

A company uses AWS CDK and CodePipeline with CodeBuild to deploy applications. The company wants to enforce unit tests before deployment; deployment proceeds only if tests pass.

Which steps enforce this? (Select TWO.)

Options:

A.

Update CodeBuild build commands to run tests then deploy, set OnFailure to ABORT.

B.

Update CodeBuild commands to run tests then deploy, add --rollback true to cdk deploy.

C.

Update CodeBuild commands to run tests then deploy, add --require-approval any-change flag.

D.

Create tests with AWS CDK assertions module, using template.hasResourceProperties assertions.

E.

Create tests that use cdk diff and fail if any resource changes are detected.

Questions # 69:

A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?

Options:

A.

Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.

B.

Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.

C.

Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.

D.

Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.

Questions # 70:

A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks. Changes to application resources outside of CloudFormation stack updates are not allowed.

The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update: [AutoScalingGroup]."

The stack remains in a status of UPDATE_ROLLBACK_FAILED. *

Which solution will resolve this issue?

Options:

A.

Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.

B.

Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.

C.

Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.

D.

Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

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Viewing questions 61-70 out of questions