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The DOP-C02 certification exam consists of 75 multiple-choice and multiple-response questions, which must be completed within 180 minutes. DOP-C02 exam is designed to test the candidate's knowledge across several domains, including Configuration Management and Infrastructure as Code, Monitoring and Logging, Security, Compliance, and Deployment and Provisioning. DOP-C02 exam is computer-based and can be taken at an AWS test center or remotely.

Amazon DOP-C02 Certification can help professionals advance their careers in the field of DevOps engineering and demonstrate their expertise in managing and operating distributed application systems using AWS tools and services. With the increasing demand for skilled DevOps engineers, earning this certification can open up new career opportunities and increase earning potential.

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The DOP-C02 Certification Exam is a valuable certification for professionals who want to advance their careers in DevOps on the AWS platform. It is recognized by companies worldwide and is a prerequisite for several AWS partner programs. AWS Certified DevOps Engineer - Professional certification demonstrates the candidate's commitment to excellence and their ability to design, deploy, and manage highly available, fault-tolerant, and scalable AWS systems.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q316-Q321):

NEW QUESTION # 316
A company has a file-reading application that saves files to a database running on Amazon EC2 instances.
Regulations require daily file deletions from EC2 instances and deletion of database records older than 60 days. Database record deletion must occur after file deletion. The company needs email notifications for any deletion script failures.
Which solution will meet these requirements with the LEAST development effort?

A. Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SNS.
B. Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially via run command. Create an EventBridge rule to send failure notifications to Amazon SNS.
C. Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SES.
D. Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially. Add a conditional check for errors as the last step and send failure notifications via Amazon SES.

Answer: B

Explanation:
* Systems Manager State Manager with Automation documents allows running scriptssequentially and reliablywith built-in retry and status tracking.
* Using EventBridge with SNS for notifications leverages managed services with minimal custom development.
* Using SES (Options B, D) requires more setup and custom logic for email formatting and sending.
* Lambda (Options C, D) can run scripts but might have limitations on execution time and complexity compared to Systems Manager Automation.
References:
AWS Systems Manager Automation
Monitoring Automation Execution and Notifications

NEW QUESTION # 317
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.
What solution meets all the requirements, ensuring the MOST developer velocity?

A. Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval
B. Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.
C. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version.Use an interval in the Lambda function to deploy the code over time at the required percentage
D. Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-configurations.html

NEW QUESTION # 318
A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS accounts. All accounts are in an organization in AWS Organizations.
Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.
A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that allows the application teams to modify the main branch of only the repositories that they manage.
Which combination of steps will meet these requirements? (Select THREE.)

A. Create an IAM permissions boundary in each account. Include the following statement:
A computer screen shot of text Description automatically generated
B. Update the SAML assertion to pass the user's team name. Update the IAM role's trust policy to add an access-team session tag that has the team name.
C. Attach an SCP to the accounts. Include the following statement:
D. For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
E. Create an approval rule template for each account. Associate the template with all repositories. Add the
"aws:ResourceTag/access-team":"$ ;{aws:PrincipaITag/access-team}" condition to the approval rule template.
F. Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Answer: A,B,D

Explanation:
Explanation
Short Explanation: To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user's team name, update the IAM role's trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
References:
* Updating the SAML assertion to pass the user's team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user's team membership1.
* Updating the IAM role's trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.
* Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity's permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.
* For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.
* The other options are incorrect because:
* Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.
* Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.
* Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization's account9.

NEW QUESTION # 319
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 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.
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 Spot Instances.
C. 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.
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 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.

Answer: D,E

Explanation:
For the critical data, using a warm pool1 can reduce the scale-out latency by having pre-initialized EC2 instances ready to serve the application traffic. Using On-Demand Instances can ensure that the instances are always available and not interrupted by Spot interruptions2.
For the noncritical data, using a second Auto Scaling group with Spot Instances can reduce the cost and leverage the unused capacity of EC23. Using a launch template with the CloudWatch agent4 can enable the collection of memory utilization metrics, which can be used to scale the group based on the memory demand.
Adding the second group as a target group for the ALB and modifying the application to use two target groups can enable routing the traffic based on the data type.
1: Warm pools for Amazon EC2 Auto Scaling 2: Amazon EC2 On-Demand Capacity Reservations 3: Amazon EC2 Spot Instances 4: Metrics collected by the CloudWatch agent

NEW QUESTION # 320
A company has multiple member accounts that are part of an organization in AWS Organizations. The security team needs to review every Amazon EC2 security group and their inbound and outbound rules. The security team wants to programmatically retrieve this information from the member accounts using an AWS Lambda function in the management account of the organization.
Which combination of access changes will meet these requirements? (Choose three.)

A. Create an I AM role in the management account that allows the sts:AssumeRole action against the member account IAM role's ARN.
B. Create an IAM role in the management account that has access to the AmazonEC2ReadOnlyAccess managed policy.
C. Create a trust relationship that allows users in the management account to assume the IAM roles of the member accounts.
D. Create an I AM role in each member account to allow the sts:AssumeRole action against the management account IAM role's ARN.
E. Create an IAM role in each member account that has access to the AmazonEC2ReadOnlyAccess managed policy.
F. Create a trust relationship that allows users in the member accounts to assume the management account IAM role.

Answer: A,C,E

NEW QUESTION # 321
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