DOP-C01: AWS DevOps Engineer - Professional - Free download from Exam Files

To run an application, a DevOps Engineer launches an Amazon EC2 instances with public IP addresses in a public subnet. A user data script obtains the application artifacts and installs them on the instances upon launch. A change to the security classification of the application now requires the instances to run with no access to the Internet. While the instances launch successfully and show as healthy, the application does not seem to be installed.

Which of the following should successfully install the application while complying with the new rule?

Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.
Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.
Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3. Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket.
Create a security group for the application instances and whitelist only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.

Correct answer: C

Explanation:

https://aws.amazon.com/pt/blogs/aws/new-vpc-endpoint-for-amazon-s3/

An IT department manages a portfolio with Windows and Linux (Amazon and Red Hat Enterprise Linux) servers both on-premises and on AWS. An audit reveals that there is no process for updating OS and core application patches, and that the servers have inconsistent patch levels.

Which of the following provides the MOST reliable and consistent mechanism for updating and maintaining all servers at the recent OS and core application patch levels?

Install AWS Systems Manager agent on all on-premises and AWS servers. Create Systems Manager Resource Groups. Use Systems Manager Patch Manager with a preconfigured patch baseline to run scheduled patch updates during maintenance windows.
Install the AWS OpsWorks agent on all on-premises and AWS servers. Create an OpsWorks stack with separate layers for each operating system, and get a recipe from the Chef supermarket to run the patch commands for each layer during maintenance windows.
Use a shell script to install the latest OS patches on the Linux servers using yum and schedule it to run automatically using cron. Use Windows Update to automatically patch Windows servers.
Use AWS Systems Manager Parameter Store to securely store credentials for each Linux and Windows server. Create Systems Manager Resource Groups. Use the Systems Manager Run Command to remotely deploy patch updates using the credentials in Systems Manager Parameter Store

Correct answer: A

Explanation:

https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-patch-patchgroups.html

A DevOps Engineer is implementing a mechanism for canary testing an application on AWS. The application was recently modified and went through security, unit, and functional testing. The application needs to be deployed on an AutoScaling group and must use a Classic Load Balancer.

Which design meets the requirement for canary testing?

Create a different Classic Load Balancer and Auto Scaling group for blue/green environments. Use Amazon Route 53 and create weighted A records on Classic Load Balancer.
Create a single Classic Load Balancer and an Auto Scaling group for blue/green environments. Use Amazon Route 53 and create A records for Classic Load Balancer IPs. Adjust traffic using A records.
Create a single Classic Load Balancer and an Auto Scaling group for blue/green environments. Create an Amazon CloudFront distribution with the Classic Load Balancer as the origin. Adjust traffic using CloudFront.
Create a different Classic Load Balancer and Auto Scaling group for blue/green environments. Create an Amazon API Gateway with a separate stage for the Classic Load Balancer. Adjust traffic by giving weights to this stage.

Correct answer: A

Explanation:

https://aws.amazon.com/route53/faqs/

An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer.

The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.

When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.

How should the company meet these requirements with the LEAST amount of application changes?

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases
Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

Correct answer: C

A company has a hybrid architecture solution in which some legacy systems remain on-premises, while a specific cluster of servers is moved to AWS. The company cannot reconfigure the legacy systems, so the cluster nodes must have a fixed hostname and local IP address for each server that is part of the cluster. The DevOps Engineer must automate the configuration for a six-node cluster with high availability across three Availability Zones (AZs), placing two elastic network interfaces in a specific subnet for each AZ. Each node's hostname and local IP address should remain the same between reboots or instance failures.

Which solution involves the LEAST amount of effort to automate this task?

Create an AWS Elastic Beanstalk application and a specific environment for each server of the cluster. For each environment, give the hostname, elastic network interface, and AZ as input parameters. Use the local health agent to name the instance and attach a specific elastic network interface based on the current environment.
Create a reusable AWS CloudFormation template to manage an Amazon EC2 Auto Scaling group with a minimum size of 1 and a maximum size of 1. Give the hostname, elastic network interface, and AZ as stack parameters. Use those parameters to set up an EC2 instance with EC2 Auto Scaling and a user data script to attach to the specific elastic network interface. Use CloudFormation nested stacks to nest the template six times for a total of six nodes needed for the cluster, and deploy using the master template.
Create an Amazon DynamoDB table with the list of hostnames, subnets, and elastic network interfaces to be used. Create a single AWS CloudFormation template to manage an Auto Scaling group with a minimum size of 6 and a maximum size of 6. Create a programmatic solution that is installed in each instance that will lock/release the assignment of each hostname and local IP address, depending on the subnet in which a new instance will be launched.
Create a reusable AWS CLI script to launch each instance individually, which will name the instance, place it in a specific AZ, and attach a specific elastic network interface. Monitor the instances, and in the event of failure, replace the missing instance manually by running the script again.

Correct answer: B

Explanation:

https://aws.amazon.com/pt/blogs/devops/use-nested-stacks-to-create-reusable-templates-and-support-role-specialization/

A financial institution provides security-hardened AMIs of Red Hat Enterprise Linux 7.4 and Windows Server 2016 for its application teams to use in deployments. A DevOps Engineer needs to implement an automated daily check of each AMI to monitor for the latest CVE.

How should the Engineer implement these checks using Amazon Inspector?

Install the Amazon Inspector agent in each AMI. Configure AWS Step Functions to launch an Amazon EC2 instance for each operating system from the hardened AMI, and tag the instance with SecurityCheck: True. Once EC2 instances have booted up, Step Functions will trigger an Amazon Inspector assessment for all instances with the tag SecurityCheck: True. Implement a scheduled Amazon CloudWatch Events rule that triggers Step Functions once each day.
Tag each AMI with SecurityCheck: True. Configure AWS Step Functions to first compose an Amazon Inspector assessment template for all AMIs that have the tag SecurityCheck: True and second to make a call to the Amazon Inspector API action StartAssessmentRun. Implement a scheduled Amazon CloudWatch Events rule that triggers Step Functions once each day.
Tag each AMI with SecurityCheck: True. Implement a scheduled Amazon Inspector assessment to run once each day for all AMIs with the tag SecurityCheck: True. Amazon Inspector should automatically launch an Amazon EC2 instance for each AMI and perform a security assessment.
Tag each instance with SecurityCheck: True. Implement a scheduled Amazon Inspector assessment to run once each day for all instances with the tag SecurityCheck: True. Amazon Inspector should automatically perform an in-place security assessment for each AMI.

Correct answer: A

A Development team uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the master branch when they are ready for production. A direct push to the master branch should not be allowed. The team applied the AWS managed policy AWSCodeCommitPowerUser to the Developers’ IAM Rote, but now members are able to push to the master branch directly on every repository in the AWS account.

What actions should be taken to restrict this?

Create an additional policy to include a deny rule for the codecommit:GitPush action, and include a restriction for the specific repositories in the resource statement with a condition for the master reference.
Remove the IAM policy and add an AWSCodeCommitReadOnly policy. Add an allow rule for the codecommit:GitPush action for the specific repositories in the resource statement with a condition for the master reference.
Modify the IAM policy and include a deny rule for the codecommit:GitPush action for the specific repositories in the resource statement with a condition for the master reference.
Create an additional policy to include an allow rule for the codecommit:GitPush action and include a restriction for the specific repositories in the resource statement with a condition for the feature branches reference.

Correct answer: A

Explanation:

https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-conditional-branch.html

A Developer is designing a continuous deployment workflow for a new Development team to facilitate the process for source code promotion in AWS. Developers would like to store and promote code for deployment from development to production while maintaining the ability to roll back that deployment if it fails.

Which design will incur the LEAST amount of downtime?

Create one repository in AWS CodeCommit. Create a development branch to hold merged changes. Use AWS CodeBuild to build and test the code stored in the development branch triggered on a new commit. Merge to the master and deploy to production by using AWS CodeDeploy for a blue/green deployment.
Create one repository for each Developer in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.
Create one repository for development code in AWS CodeCommit and another repository to hold the production code. Use AWS CodeBuild to merge development and production repositories, and deploy to production by using AWS CodeDeploy for a blue/green deployment.
Create a shared Amazon S3 bucket for the Development team to store their code. Set up an Amazon CloudWatch Events rule to trigger an AWS Lambda function that deploys the code to production by using AWS CodeDeploy for a blue/green deployment.

Correct answer: A

A DevOps Engineer discovered a sudden spike in a website's page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call.

Which debug steps should the Engineer take to determine the root cause of the issue?

Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.
Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
Check the application logs being written to Amazon CloudWatch Logs for debug information. Check the ingress security group rules and routing rules for the VPC.

Correct answer: C

Explanation:

An Engineering team manages a Node.js e-commerce application. The current environment consists of the following components:

Amazon S3 buckets for storing content
Amazon EC2 for the front-end web servers
AWS Lambda for executing image processing
Amazon DynamoDB for storing session-related data

The team expects a significant increase in traffic to the site. The application should handle the additional load without interruption. The team ran initial tests by adding new servers to the EC2 front-end to handle the larger load, but the instances took up to 20 minutes to become fully configured. The team wants to reduce this configuration time.

What changes will the Engineering team need to implement to make the solution the MOST resilient and highly available while meeting the expected increase in demand?

Use AWS OpsWorks to automatically configure each new EC2 instance as it is launched. Configure the EC2 instances by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Application Load Balancer.
Deploy a fleet of EC2 instances, doubling the current capacity, and place them behind an Application Load Balancer. Increase the Amazon DynamoDB read and write capacity units. Add an alias record that contains the Application Load Balancer endpoint to the existing Amazon Route 53 DNS record that points to the application.
Configure Amazon CloudFront and have its origin point to Amazon S3 to host the web application. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the CloudFront DNS name.
Use AWS Elastic Beanstalk with a custom AMI including all web components. Deploy the platform by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Elastic Beanstalk load balancer.

Correct answer: D

Vendor:	Amazon
Exam Code:	DOP-C01
Exam Name:	AWS DevOps Engineer - Professional
Date:	Dec 16, 2024
File Size:	997 KB

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