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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Security, Governance, and Compliance | 17% | - Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Detect and remediate violations automatically
- 3. Integrate security into CI/CD pipelines
- Implement security controls
- 1. Manage IAM for pipelines and environments
- 2. Secure secrets and credentials
- 3. Encrypt data at rest and in transit
- Enforce governance and compliance
- 1. Implement compliance rules and audits
- 2. Manage access and permissions at scale
- 3. Use AWS Config and AWS Organizations
|
| Resilient Cloud Solutions | 15% | - Ensure reliability and scalability
- 1. Manage capacity and elasticity
- 2. Optimize performance and cost
- 3. Design for fault tolerance
- Implement disaster recovery
- 1. Backup and restore strategies
- 2. Pilot light, warm standby, and active-active
- 3. Test and validate recovery plans
- Design high availability architectures
- 1. Multi-AZ and multi-region deployments
- 2. Use Route 53 for routing and failover
- 3. Implement auto scaling and load balancing
|
| Monitoring and Logging | 15% | - Automate incident response
- 1. Set up event-driven actions with Amazon EventBridge
- 2. Automate remediation and scaling
- 3. Implement alerting and notification workflows
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Use Amazon CloudWatch for metrics and alarms
- 3. Monitor infrastructure, applications, and costs
- Implement logging and analysis
- 1. Analyze logs for troubleshooting and security
- 2. Centralize logs with CloudWatch Logs
- 3. Use AWS X-Ray for tracing
|
| Incident and Event Response | 14% | - Manage incidents and outages
- 1. Troubleshoot complex issues
- 2. Document and learn from events
- 3. Coordinate response and recovery
- Automate event management
- 1. Integrate with ticketing and workflow systems
- 2. Automate common operational tasks
- 3. Classify and prioritize events
- Improve operational processes
- 1. Optimize response time and efficiency
- 2. Update runbooks and playbooks
- 3. Implement feedback loops
|
| SDLC Automation | 22% | - Automate software release processes
- 1. Implement deployment strategies
- 2. Manage artifacts and dependencies
- 3. Automate rollback procedures
- Automate testing and validation
- 1. Unit, integration, and performance testing
- 2. Automate quality gates
- 3. Security and compliance testing
- Implement CI/CD pipelines
- 1. Integrate version control systems
- 2. Automate build, test, and deployment stages
- 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Configuration Management and Infrastructure as Code | 17% | - Manage infrastructure deployments
- 1. Manage multi-account and multi-region environments
- 2. Provision and update resources automatically
- 3. Implement version control for configurations
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Enforce configuration standards
- 3. Use AWS CloudFormation, Terraform, or AWS CDK
- Automate configuration management
- 1. Maintain consistent configurations
- 2. Detect and remediate configuration drift
- 3. Use AWS Systems Manager, Ansible, or Puppet
|
>> DOP-C02 Testantworten <<
DOP-C02 Prüfungsguide: AWS Certified DevOps Engineer - Professional & DOP-C02 echter Test & DOP-C02 sicherlich-zu-bestehen
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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q42-Q47):
42. Frage
A company uses an organization in AWS Organizations to manage multiple AWS accounts in multiple OUs. The company is planning to implement a comprehensive account management solution and wants to ensure consistent baseline configurations.
A DevOps engineer is developing a solution to automatically deploy AWS CloudFormation templates to new AWS accounts. The specific CloudFormation template that the solution deploys must vary based on which organizational unit (OU) each new account is placed in.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Store CloudFormation templates in an Amazon S3 bucket. Create an AWS Lambda function that deploys a specific CloudFormation template to the new AWS accounts based on the OU each new account is in. Create an Amazon EventBridge rule that matches "eventName": "CreateAccountResult" and "state": "SUCCEEDED." Set the Lambda function as the target of the EventBridge rule.
- B. Store the CloudFormation templates in an Amazon S3 bucket by using a separate prefix for each AWS account. Create an AWS Lambda function that deploys a specific CloudFormation template to each new AWS account based on the prefix path that indicates where each template is located in the S3 bucket.
- C. Enable AWS Control Tower. Use Customizations for AWS Control Tower (CfCT) to deploy each CloudFormation template from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU.
- D. Enable AWS Control Tower. Build a pipeline in AWS CodePipeline to deploy the CloudFormation deployment from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU. After the code is updated in GitHub, initiate the pipeline and deploy the CloudFormation templates to the new AWS accounts.
Antwort: C
Begründung:
The requirement is to automatically apply different baseline CloudFormation templates based on OU placement when new AWS accounts are created, while keeping operational overhead as low as possible. Because the company is already using AWS Organizations and is planning a comprehensive account management strategy, the most AWS-native and efficient solution is AWS Control Tower with Customizations for AWS Control Tower (CfCT).
CfCT is specifically designed to extend Control Tower's baseline by allowing administrators to deploy OU-scoped CloudFormation templates automatically. The solution uses a manifest file to map CloudFormation templates to specific OUs, ensuring that each new account receives the correct baseline configuration immediately after provisioning. Templates and configuration are stored in a version-controlled Git repository, providing auditability, change tracking, and rollback capabilities.
Option B adds unnecessary operational complexity by introducing a custom CodePipeline that must be manually triggered and maintained. This duplicates functionality that CfCT already provides natively. Options C and D rely on custom Lambda logic and EventBridge rules, which increase maintenance burden, reduce transparency, and lack built-in OU-aware governance features.
AWS documentation explicitly recommends Customizations for AWS Control Tower for OU-based, scalable, and automated baseline deployments. Therefore, Option A delivers the required functionality with the least operational overhead and aligns with AWS best practices for multi-account governance.
43. Frage
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 timeso 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 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.
- C. 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.
- D. 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.
Antwort: B
44. Frage
A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.
- B. Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.
- C. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.
- D. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern.Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.
Antwort: A
Begründung:
* Step 1: Sending AWS WAF Logs to CloudWatch LogsAWS WAF allows you to log requests that are evaluated against your web ACLs. These logs can be sent directly to CloudWatch Logs, which enables real-time monitoring and analysis.
* Action:Configure the AWS WAF web ACL to send log messages to a CloudWatch Logs log group.
* Why:This allows the operations team to view the logs in real time and analyze patterns using CloudWatch metric filters.
45. Frage
A company's organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance's credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.
Which solution will meet these requirements?
- A. Create an SCP that includes a list of acceptable VPC values and checks whether the value of the aws:
SourceVpc condition key is in the list. In the same SCP check, define a list of acceptable IP address values and check whether the value of the aws:VpcSourcelp condition key is in the list. Deny access if either condition is false. Apply the SCP to each account in the organization. - B. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:VpcSourcelp condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatolPv4 and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. Apply the SCP to each account in the organization.
- C. Create an SCP that specifies the VPC CIDR block. Configure the SCP to check whether the value of the aws:VpcSourcelp condition key is in the specified block. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and aws:SourceVpc condition keys are the same.
Deny access if either condition is false. Apply the SCP to the OU. - D. Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and awsVpcSourcelp condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.
Antwort: D
Begründung:
Step 1: Using Service Control Policies (SCPs) for EC2 SecurityTo limit the use of EC2 instance credentials to the specific EC2 instance they are assigned to, you can create a Service Control Policy (SCP) that verifies specific conditions, such as whether the EC2 instance's source VPC and private IP match expected values.
Action: Create an SCP that checks whether the values of the aws:EC2InstanceSourceVPC and aws:
SourceVpc condition keys are the same. Deny access if they are not.
Why: This ensures that credentials cannot be used outside the designated EC2 instance or VPC.
Step 2: Further Validation with Private IPsThe SCP should also verify that the EC2 instance's private IP matches the IP range specified for the VPC. If the instance's private IP does not match, access should be denied.
Action: In the same SCP, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:
VpcSourceIP condition keys are the same. Deny access if they are not.
Why: This ensures that the credentials are only used within the specific EC2 instance and its associated VPC.
Reference: AWS documentation on Service Control Policies (SCPs).
This corresponds to Option B: Create an SCP that checks whether the values of the aws:
EC2InstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2InstanceSourcePrivateIP and aws:
VpcSourceIP condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.
46. Frage
A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.
When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.
Which solution will meet these requirements?
- A. Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.
- B. Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.
- C. Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.
- D. Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.
Antwort: B
Begründung:
In CodePipeline's execution mode,
* PARALLEL mode for pull_request pipelines ensures that multiple feature branches can be tested simultaneously for quick feedback.
* QUEUED mode for main_branch ensures deployments run sequentially - each must finish before the next begins, preventing overlap. This configuration aligns with AWS CodePipeline best practices for trunk-based development and concurrent test pipelines.
47. Frage
......
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