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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Configuration Management and Infrastructure as Code	17%	- Manage infrastructure deployments 1. Implement version control for configurations 2. Manage multi-account and multi-region environments 3. Provision and update resources automatically - Automate configuration management 1. Maintain consistent configurations 2. Detect and remediate configuration drift 3. Use AWS Systems Manager, Ansible, or Puppet - Implement infrastructure as code 1. Enforce configuration standards 2. Use AWS CloudFormation, Terraform, or AWS CDK 3. Manage templates and stacks
Resilient Cloud Solutions	15%	- Implement disaster recovery 1. Backup and restore strategies 2. Test and validate recovery plans 3. Pilot light, warm standby, and active-active - Design high availability architectures 1. Implement auto scaling and load balancing 2. Multi-AZ and multi-region deployments 3. Use Route 53 for routing and failover - Ensure reliability and scalability 1. Manage capacity and elasticity 2. Optimize performance and cost 3. Design for fault tolerance
SDLC Automation	22%	- Automate software release processes 1. Implement deployment strategies 2. Automate rollback procedures 3. Manage artifacts and dependencies - 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
Incident and Event Response	14%	- Automate event management 1. Automate common operational tasks 2. Integrate with ticketing and workflow systems 3. Classify and prioritize events - Manage incidents and outages 1. Document and learn from events 2. Coordinate response and recovery 3. Troubleshoot complex issues - Improve operational processes 1. Update runbooks and playbooks 2. Implement feedback loops 3. Optimize response time and efficiency
Security, Governance, and Compliance	17%	- Implement security controls 1. Encrypt data at rest and in transit 2. Manage IAM for pipelines and environments 3. Secure secrets and credentials - Enforce governance and compliance 1. Manage access and permissions at scale 2. Use AWS Config and AWS Organizations 3. Implement compliance rules and audits - Automate security and compliance 1. Integrate security into CI/CD pipelines 2. Use AWS Security Hub and AWS Shield 3. Detect and remediate violations automatically
Monitoring and Logging	15%	- Implement monitoring solutions 1. Use Amazon CloudWatch for metrics and alarms 2. Monitor infrastructure, applications, and costs 3. Create dashboards and insights - Implement logging and analysis 1. Analyze logs for troubleshooting and security 2. Centralize logs with CloudWatch Logs 3. Use AWS X-Ray for tracing - Automate incident response 1. Set up event-driven actions with Amazon EventBridge 2. Implement alerting and notification workflows 3. Automate remediation and scaling

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q138-Q143):

NEW QUESTION # 138
A company is launching an application. The application must use only approved AWS services. The account that runs the application was created less than 1 year ago and is assigned to an AWS Organizations OU.
The company needs to create a new Organizations account structure. The account structure must have an appropriate SCP that supports the use of only services that are currently active in the AWS account.
The company will use AWS Identity and Access Management (IAM) Access Analyzer in the solution.
Which solution will meet these requirements?

A. Create an SCP that denies the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OIJ. Attach the new SCP to the new OU.
B. Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the management account. Detach the default FullAWSAccess SCP from the new OU.
C. Create an SCP that allows the services that IAM Access Analyzer identifies. Attach the new SCP to the organization's root.
D. Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU.

Answer: D

Explanation:
Explanation
To meet the requirements of creating a new Organizations account structure with an appropriate SCP that supports the use of only services that are currently active in the AWS account, the company should use the following solution:
Create an SCP that allows the services that IAM Access Analyzer identifies. IAM Access Analyzer is a service that helps identify potential resource-access risks by analyzing resource-based policies in the AWS environment. IAM Access Analyzer can also generate IAM policies based on access activity in the AWS CloudTrail logs. By using IAM Access Analyzer, the company can create an SCP that grants only the permissions that are required for the application to run, and denies all other services. This way, the company can enforce the use of only approved AWS services and reduce the risk of unauthorized access12 Create an OU for the account. Move the account into the new OU. An OU is a container for accounts within an organization that enables you to group accounts that have similar business or security requirements. By creating an OU for the account, the company can apply policies and manage settings for the account as a group. The company should move the account into the new OU to make it subject to the policies attached to the OU3 Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU. An SCP is a type of policy that specifies the maximum permissions for an organization or organizational unit (OU). By attaching the new SCP to the new OU, the company can restrict the services that are available to all accounts in that OU, including the account that runs the application. The company should also detach the default FullAWSAccess SCP from the new OU, because this policy allows all actions on all AWS services and might override or conflict with the new SCP45 The other options are not correct because they do not meet the requirements or follow best practices. Creating an SCP that denies the services that IAM Access Analyzer identifies is not a good option because it might not cover all possible services that are not approved or required for the application. A deny policy is also more difficult to maintain and update than an allow policy. Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the organization's root is not a good option because it might affect other accounts and OUs in the organization that have different service requirements or approvals.
Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the management account is not a valid option because SCPs cannot be attached directly to accounts, only to OUs or roots.
References:
1: Using AWS Identity and Access Management Access Analyzer - AWS Identity and Access Management
2: Generate a policy based on access activity - AWS Identity and Access Management
3: Organizing your accounts into OUs - AWS Organizations
4: Service control policies - AWS Organizations
5: How SCPs work - AWS Organizations

NEW QUESTION # 139
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 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.
B. 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.
C. 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.
D. 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.
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 Spot Instances.

Answer: B,C

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 # 140
A software team is using AWS CodePipeline to automate its Java application release pipeline The pipeline consists of a source stage, then a build stage, and then a deploy stage. Each stage contains a single action that has a runOrder value of 1.
The team wants to integrate unit tests into the existing release pipeline. The team needs a solution that deploys only the code changes that pass all unit tests.
Which solution will meet these requirements?

A. Modify the deploy stage Add a test action that has a runOrder value of 1 Use AWS CodeDeploy as the action provider to run unit tests
B. Modify the build stage Add a test action that has a runOrder value of 2 Use AWS CodeBuild as the action provider to run unit tests
C. Modify the build stage. Add a test action that has a runOrder value of 1. Use AWS CodeDeploy as the action provider to run unit tests.
D. Modify the deploy stage Add a test action that has a runOrder value of 2 Use AWS CodeBuild as the action provider to run unit tests

Answer: B

Explanation:
Modify the Build Stage to Add a Test Action with a RunOrder Value of 2:
* The build stage in AWS CodePipeline can have multiple actions. By adding a test action with a runOrder value of 2, the test action will execute after the initial build action completes.
Use AWS CodeBuild as the Action Provider to Run Unit Tests:
* AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages.
* Using CodeBuild to run unit tests ensures that the tests are executed in a controlled environment and that only the code changes that pass the unit tests proceed to the deploy stage.
Example configuration in CodePipeline:
{
"name": "BuildStage",
"actions": [
{
"name": "Build",
"actionTypeId": {
"category": "Build",
"owner": "AWS",
"provider": "CodeBuild",
"version": "1"
},
"runOrder": 1
},
{
"name": "Test",
"actionTypeId": {
"category": "Test",
"owner": "AWS",
"provider": "CodeBuild",
"version": "1"
},
"runOrder": 2
}
]
}
By integrating the unit tests into the build stage and ensuring they run after the build process, the pipeline guarantees that only code changes passing all unit tests are deployed.
References:
* AWS CodePipeline
* AWS CodeBuild
* Using CodeBuild with CodePipeline

NEW QUESTION # 141
A development team uses AWS CodeCommit for version control for applications. The development team uses AWS CodePipeline, AWS CodeBuild. and AWS CodeDeploy for CI/CD infrastructure. In CodeCommit, the development team recently merged pull requests that did not pass long-running tests in the code base. The development team needed to perform rollbacks to branches in the codebase, resulting in lost time and wasted effort.
A DevOps engineer must automate testing of pull requests in CodeCommit to ensure that reviewers more easily see the results of automated tests as part of the pull request review.
What should the DevOps engineer do to meet this requirement?

A. Create an Amazon EventBridge rule that reacts to the pullRequestCreated event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild test results as a comment on the pull request when the test results are complete.
B. Create an Amazon EventBridge rule that reacts to pullRequestCreated and pullRequestSourceBranchUpdated events. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild badge as a comment on the pull request so that developers will see the badge in their code review.
C. Create an Amazon EventBridge rule that reacts to the pullRequestStatusChanged event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild badge as a comment on the pull request so that developers will see the badge in their code review.
D. Create an Amazon EventBridge rule that reacts to the pullRequestStatusChanged event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild test results as a comment on the pull request when the test results are complete.

Answer: B

Explanation:
https://aws.amazon.com/es/blogs/devops/complete-ci-cd-with-aws-codecommit-aws-codebuild-aws-codedeploy-and-aws-codepipeline/

NEW QUESTION # 142
A company has a web application that publishes logs that contain metadata for transactions, with a status of success or failure for each log. The logs are in JSON format. The application publishes the logs to an Amazon CloudWatch Logs log group.
The company wants to create a dashboard that displays the number of successful transactions.
Which solution will meet this requirement with the LEAST operational overhead?

A. Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.
B. Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function. Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.
C. Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.
D. Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Answer: C

NEW QUESTION # 143
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