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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Policies and Standards Automation	10%	- Design and implement governance strategies 1. Implement tagging policies and resource grouping 2. Design cost optimization through policies 3. Implement approval workflows and automation - Design and implement preventive and detective controls 1. Implement drift detection and remediation 2. Design and implement security baselines 3. Implement AWS Organizations and SCPs
Incident and Event Response	18%	- Design and implement chaos engineering practices 1. Design resilience testing strategies 2. Analyze system behavior under failure conditions 3. Implement fault injection experiments (AWS Fault Injection Simulator) - Design and implement event and incident management 1. Design event aggregation and correlation 2. Implement automated incident detection 3. Implement automated response playbooks
SDLC Automation	22%	- Design and implement CI/CD pipelines 1. Determine appropriate CI/CD pipeline architecture 2. Develop CI/CD pipelines considering testing and security requirements 3. Implement deployment strategies (blue-green, canary, rolling) 4. Design failure handling strategies - Design build and test environments 1. Implement build environments (isolated, reproducible) 2. Integrate security scanning and compliance checks 3. Design test automation frameworks - Design and implement source code management strategies 1. Determine branching strategies 2. Implement repository configurations and hooks 3. Design code review and approval processes
High Availability and Disaster Recovery	16%	- Implement data backup and restore strategies 1. Implement validation testing for backups 2. Implement cross-region replication 3. Design point-in-time recovery solutions - Design and implement high availability and scalability 1. Implement auto scaling strategies 2. Design multi-AZ and multi-region architectures 3. Implement load balancing and traffic management - Design and implement disaster recovery strategies 1. Implement multi-region active-active architectures 2. Implement backup and restore mechanisms 3. Design RTO and RPO based DR solutions 4. Implement pilot light and warm standby architectures
Monitoring and Logging	12%	- Design and implement monitoring and observability strategies 1. Implement distributed tracing (AWS X-Ray) 2. Implement log aggregation and analysis 3. Design custom metrics and alarms (Amazon CloudWatch) - Design and implement alerting and incident management 1. Implement automated incident response 2. Design runbook automation 3. Create alarm notification strategies
Configuration Management and Infrastructure as Code	22%	- Design and implement infrastructure as code 1. Implement modular and reusable infrastructure components 2. Design for scalability and repeatability 3. Develop IaC templates (AWS CloudFormation, Terraform) - Implement compliance and configuration monitoring 1. Design remediation automation 2. Implement AWS CloudTrail for auditing 3. Use AWS Config for compliance monitoring - Design and implement configuration management 1. Design patch management strategies 2. Implement parameter management (AWS Parameter Store, Secrets Manager) 3. Implement AWS Systems Manager for configuration management - Design and implement data management strategies 1. Implement data lifecycle management 2. Design backup and recovery solutions 3. Implement database migration strategies

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q113-Q118):

NEW QUESTION # 113
A company has deployed an application in a production VPC in a single AWS account. The application is popular and is experiencing heavy usage. The company's security team wants to add additional security, such as AWS WAF, to the application deployment. However, the application's product manager is concerned about cost and does not want to approve the change unless the security team can prove that additional security is necessary.
The security team believes that some of the application's demand might come from users that have IP addresses that are on a deny list. The security team provides the deny list to a DevOps engineer. If any of the IP addresses on the deny list access the application, the security team wants to receive automated notification in near real time so that the security team can document that the application needs additional security. The DevOps engineer creates a VPC flow log for the production VPC.
Which set of additional steps should the DevOps engineer take to meet these requirements MOST cost-effectively?

A. Create a log group in Amazon CloudWatch Logs. Create an Amazon S3 bucket to hold query results. Configure the VPC flow log to capture all traffic and to send the data to the log group. Deploy an Amazon Athena CloudWatch connector in AWS Lambda. Connect the connector to the log group. Configure Athena to periodically query for all accepted traffic from the IP addresses on the deny list and to store the results in the S3 bucket. Configure an S3 event notification to automatically notify the security team through an Amazon Simple Notification Service (Amazon SNS) topic when new objects are added to the S3 bucket.
B. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture all traffic and to send the data to the S3 bucket. Configure Amazon Athena to return all log files in the S3 bucket for IP addresses on the deny list. Configure Amazon QuickSight to accept data from Athena and to publish the data as a dashboard that the security team can access. Create a threshold alert of 1 for successful access. Configure the alert to automatically notify the security team as frequently as possible when the alert threshold is met.
C. Create a log group in Amazon CloudWatch Logs. Configure the VPC flow log to capture accepted traffic and to send the data to the log group. Create an Amazon CloudWatch metric filter for IP addresses on the deny list. Create a CloudWatch alarm with the metric filter as input. Set the period to 5 minutes and the datapoints to alarm to 1. Use an Amazon Simple Notification Service (Amazon SNS) topic to send alarm notices to the security team.
D. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture accepted traffic and to send the data to the S3 bucket. Configure an Amazon OpenSearch Service cluster and domain for the log files. Create an AWS Lambda function to retrieve the logs from the S3 bucket, format the logs, and load the logs into the OpenSearch Service cluster. Schedule the Lambda function to run every 5 minutes. Configure an alert and condition in OpenSearch Service to send alerts to the security team through an Amazon Simple Notification Service (Amazon SNS) topic when access from the IP addresses on the deny list is detected.

Answer: C

NEW QUESTION # 114
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 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.
B. Attach an SCP to the accounts. Include the following statement:
C. Create an IAM permissions boundary in each account. Include the following statement:
A computer screen shot of text Description automatically generated
D. 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.
E. For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
F. 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.

Answer: C,E,F

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 # 115
A company has deployed a critical application in two AWS Regions. The application uses an Application Load Balancer (ALB) in both Regions. The company has Amazon Route 53 alias DNS records for both ALBs.
The company uses Amazon Route 53 Application Recovery Controller to ensure that the application can fail over between the two Regions. The Route 53 ARC configuration includes a routing control for both Regions. The company uses Route 53 ARC to perform quarterly disaster recovery (DR) tests.
During the most recent DR test, a DevOps engineer accidentally turned off both routing controls. The company needs to ensure that at least one routing control is turned on at all times.
Which solution will meet these requirements?

A. In Route 53 ARC, create a new resource set. Configure the resource set with an AWS: Route53: HealthCheck resource type. Specify the ARNs of the two routing controls as the target resource. Create a new readiness check for the resource set.
B. In Route 53 ARC. create a new assertion safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the ATLEAST type with a threshold of 1.
C. In Route 53 ARC, create a new gating safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the OR type with a threshold of 1.
D. In Route 53 ARC, create a new resource set. Configure the resource set with an AWS: Route53RecoveryReadiness: DNSTargetResource resource type. Add the domain names of the two Route 53 alias DNS records as the target resource. Create a new readiness check for the resource set.

Answer: B

Explanation:
The correct solution is to create a new assertion safety rule in Route 53 ARC and apply it to the two routing controls. An assertion safety rule is a type of safety rule that ensures that a minimum number of routing controls are always enabled. The ATLEAST type of assertion safety rule specifies the minimum number of routing controls that must be enabled for the rule to evaluate as healthy. By setting the threshold to 1, the rule ensures that at least one routing control is always turned on. This prevents the scenario where both routing controls are accidentally turned off and the application becomes unavailable in both Regions.
The other solutions are incorrect because they do not use safety rules to prevent both routing controls from being turned off. A gating safety rule is a type of safety rule that prevents routing control state changes that violate the rule logic. The OR type of gating safety rule specifies that one or more routing controls must be enabled for the rule to evaluate as healthy. However, this rule does not prevent a user from turning off both routing controls manually. A resource set is a collection of resources that are tested for readiness by Route 53 ARC. A readiness check is a test that verifies that all the resources in a resource set are operational. However, these concepts are not related to routing control states or safety rules. Therefore, creating a new resource set and a new readiness check will not ensure that at least one routing control is turned on at all times. References:
Routing control in Amazon Route 53 Application Recovery Controller
Viewing and updating routing control states in Route 53 ARC
Creating a control panel in Route 53 ARC
Creating safety rules in Route 53 ARC

NEW QUESTION # 116
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:

What changes should be recommended to comply with AWS security best practices? (Select THREE.)

A. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
B. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
C. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
D. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
E. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Answer: B,D,E

Explanation:
B). Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable. C. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables. E. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.

NEW QUESTION # 117
A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format.
Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the data. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing.
Which solution will meet these requirements?

A. Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.
B. Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
C. Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.
D. Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application's output location, and remove the messages from the queue.

Answer: B

Explanation:
Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue.
Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.

NEW QUESTION # 118
......

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