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Amazon DOP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q399-Q404):

NEW QUESTION # 399
A company manages multiple AWS accounts in AWS Organizations. The company's security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.
A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization's root level that will prevent the root user in member accounts from making any AWS service API calls.
Which SCP will meet these requirements?

Answer: A

NEW QUESTION # 400
A company uses AWS CodePipeline pipelines to automate releases of its application A typical pipeline consists of three stages build, test, and deployment. The company has been using a separate AWS CodeBuild project to run scripts for each stage. However, the company now wants to use AWS CodeDeploy to handle the deployment stage of the pipelines.
The company has packaged the application as an RPM package and must deploy the application to a fleet of Amazon EC2 instances. The EC2 instances are in an EC2 Auto Scaling group and are launched from a common AMI.
Which combination of steps should a DevOps engineer perform to meet these requirements? (Choose two.)

A. Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.
B. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.
C. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.
D. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.
E. Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.

Answer: A,C

NEW QUESTION # 401
A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.
The company's DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.
Which solution will meet these requirements?

A. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a new Amazon S3 bucket. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of HTML in the phases section. In the reports section, upload the test reports to the S3 bucket.
B. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a CodeBuild report group. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of JUNITXML in the build phase section. Configure the test reports to be uploaded to the new CodeBuild report group.
C. Create a new AWS CodeArtifact repository. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create an appspec.yml file in the original CodeCommit repository. In the appspec.yml file, define the actions to run the unit tests with an output of CUCUMBERJSON in the build phase section. Configure the tests reports to be sent to the new CodeArtifact repository.
D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run a CodeGuru review.

Answer: B

Explanation:
The correct answer is B. Creating a new AWS CodeBuild project and configuring a test stage in the AWS CodePipeline pipeline that uses the new CodeBuild project is the best way to integrate the unit tests into the existing pipeline. Creating a CodeBuild report group and uploading the test reports to the new CodeBuild report group will produce reports about the unit tests for the company to view. Using JUNITXML as the output format for the unit tests is supported by CodeBuild and will generate a valid report.
Option A is incorrect because Amazon CodeGuru Reviewer is a service that provides automated code reviews and recommendations for improving code quality and performance. It is not a tool for running unit tests or producing test reports. Therefore, option A will not meet the requirements.
Option C is incorrect because AWS CodeArtifact is a service that provides secure, scalable, and cost-effective artifact management for software development. It is not a tool for running unit tests or producing test reports. Moreover, option C uses CUCUMBERJSON as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.
Option D is incorrect because uploading the test reports to an Amazon S3 bucket is not the best way to produce reports about the unit tests for the company to view. CodeBuild has a built-in feature to create and manage test reports, which is more convenient and efficient than using S3. Furthermore, option D uses HTML as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.

NEW QUESTION # 402
A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company's email address to the topic What should the DevOps engineer do next to meet the requirements?

A. Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.
B. Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.
C. Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.
D. Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic

Answer: B

Explanation:
* Option A is incorrect because creating an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval is not a valid solution. EventBridge rules can only trigger Lambda functions based on events, not on time intervals. Moreover, querying the applications on a 5-minute interval might incur unnecessary costs and network overhead, and might not detect performance issues in real time.
* Option B is correct because creating an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval is a valid solution. CloudWatch Synthetics canaries are configurable scripts that monitor endpoints and APIs by simulating customer behavior.
Canaries can run as often as once per minute, and can measure the latency and availability of theapplications. Canaries can also send notifications to an Amazon SNS topic when they detect errors or performance issues1.
* Option C is incorrect because creating an Amazon CloudWatch alarm that uses the AWS
/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution. The RequestCountPerTarget metric measures the number of requests completed or connections made per target in a target group2. This metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports is not a valid way to measure the application performance, as it depends on the application design and implementation.
* Option D is incorrect because creating an Amazon CloudWatch alarm that uses the AWS
/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution, for the same reason as option C. The RequestCountPerTarget metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports is not a valid way to measure the application performance, as it does not account for variability or outliers in the response time distribution.
References:
* 1: Using synthetic monitoring
* 2: Application Load Balancer metrics

NEW QUESTION # 403
A company has 20 service learns Each service team is responsible for its own microservice. Each service team uses a separate AWS account for its microservice and a VPC with the 192 168 0 0/22 CIDR block. The company manages the AWS accounts with AWS Organizations.
Each service team hosts its microservice on multiple Amazon EC2 instances behind an Application Load Balancer. The microservices communicate with each other across the public internet. The company's security team has issued a new guideline that all communication between microservices must use HTTPS over private network connections and cannot traverse the public internet.
A DevOps engineer must implement a solution that fulfills these obligations and minimizes the number of changes for each service team Which solution will meet these requirements?

A. Create a new AWS account in AWS Organizations Create a VPC in this account and use AWS Resource Access Manager to share the private subnets of this VPC with the organization Instruct the service teams to launch a new. Network Load Balancer (NLB) and EC2 instances that use the shared private subnets Use the NLB DNS names for communication between microservices.
B. Create a new AWS account in AWS Organizations Create a transit gateway in this account and use AWS Resource Access Manager to share the transit gateway with the organization. In each of the microservice VPCs. create a transit gateway attachment to the shared transit gateway Update the route tables of each VPC to use the transit gateway Create a Network Load Balancer (NLB) in each of the microservice VPCs Use the NLB DNS names for communication between microservices.
C. Create a Network Load Balancer (NLB) in each of the microservice VPCs Create VPC peering connections between each of the microservice VPCs Update the route tables for each VPC to use the peering links Use the NLB DNS names for communication between microservices.
D. Create a Network Load Balancer (NLB) in each of the microservice VPCs Use AWS PrivateLink to create VPC endpoints in each AWS account for the NLBs Create subscriptions to each VPC endpoint in each of the other AWS accounts Use the VPC endpoint DNS names for communication between microservices.

Answer: D

Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/connecting-networks-with-overlapping-ip-ranges/ Private link is the best option because Transit Gateway doesn't support overlapping CIDR ranges.

NEW QUESTION # 404
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