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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
SDLC Automation22%- Automate software release processes
  • 1. Automate rollback procedures
  • 2. Manage artifacts and dependencies
  • 3. Implement deployment strategies
- Implement CI/CD pipelines
  • 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 2. Integrate version control systems
  • 3. Automate build, test, and deployment stages
- Automate testing and validation
  • 1. Security and compliance testing
  • 2. Automate quality gates
  • 3. Unit, integration, and performance testing
Resilient Cloud Solutions15%- Implement disaster recovery
  • 1. Test and validate recovery plans
  • 2. Backup and restore strategies
  • 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. Optimize performance and cost
  • 2. Manage capacity and elasticity
  • 3. Design for fault tolerance
Configuration Management and Infrastructure as Code17%- Implement infrastructure as code
  • 1. Manage templates and stacks
  • 2. Use AWS CloudFormation, Terraform, or AWS CDK
  • 3. Enforce configuration standards
- Manage infrastructure deployments
  • 1. Manage multi-account and multi-region environments
  • 2. Implement version control for configurations
  • 3. Provision and update resources automatically
- Automate configuration management
  • 1. Detect and remediate configuration drift
  • 2. Use AWS Systems Manager, Ansible, or Puppet
  • 3. Maintain consistent configurations
Security, Governance, and Compliance17%- Enforce governance and compliance
  • 1. Use AWS Config and AWS Organizations
  • 2. Implement compliance rules and audits
  • 3. Manage access and permissions at scale
- Automate security and compliance
  • 1. Use AWS Security Hub and AWS Shield
  • 2. Integrate security into CI/CD pipelines
  • 3. Detect and remediate violations automatically
- Implement security controls
  • 1. Encrypt data at rest and in transit
  • 2. Secure secrets and credentials
  • 3. Manage IAM for pipelines and environments
Incident and Event Response14%- Manage incidents and outages
  • 1. Document and learn from events
  • 2. Troubleshoot complex issues
  • 3. Coordinate response and recovery
- Automate event management
  • 1. Automate common operational tasks
  • 2. Classify and prioritize events
  • 3. Integrate with ticketing and workflow systems
- Improve operational processes
  • 1. Implement feedback loops
  • 2. Optimize response time and efficiency
  • 3. Update runbooks and playbooks
Monitoring and Logging15%- Implement logging and analysis
  • 1. Analyze logs for troubleshooting and security
  • 2. Use AWS X-Ray for tracing
  • 3. Centralize logs with CloudWatch Logs
- Automate incident response
  • 1. Automate remediation and scaling
  • 2. Implement alerting and notification workflows
  • 3. Set up event-driven actions with Amazon EventBridge
- Implement monitoring solutions
  • 1. Create dashboards and insights
  • 2. Use Amazon CloudWatch for metrics and alarms
  • 3. Monitor infrastructure, applications, and costs

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q50-Q55):

NEW QUESTION # 50
A company deploys an API by using an Application Load Balancer (ALB) that targets an AWS Lambda function. The API takes a list of tasks as an input and typically processes the tasks in 40 seconds. The API is CPU intensive and performs writes to an Amazon Aurora PostgreSQL DB cluster. The API also performs frequent large-scale Amazon S3 object PUT requests to the same prefix of an S3 bucket.
The API usage and the number of input tasks is increasing significantly. The increased demand is causing the API response time to increase, and some API requests fail because the database connection quota is being exceeded. A DevOps engineer must improve the performance of the API.
Which combination of solutions will meet this requirement? (Select THREE.)

Answer: A,B,F

Explanation:
The failures come from three separate pressure points: database connection exhaustion, CPU-bound Lambda execution, and high-volume S3 writes to one prefix. RDS Proxy is designed to improve database connection management, scalability, availability, and security, so it addresses the Aurora connection quota issue.
Increasing Lambda memory is also correct because AWS allocates CPU proportionally with memory; CPU- bound functions can improve dramatically when memory is increased. For S3, AWS documents at least 3,500 PUT/COPY/POST/DELETE requests per second per partitioned prefix and notes that write performance can be scaled by writing across multiple prefixes. NLB in front of ALB adds no value, API Gateway does not solve the listed bottlenecks, and an Aurora read replica does not help a write-heavy workload.


NEW QUESTION # 51
A company deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeCommit repository. When code is merged to the main branch, an AWS Lambda function invokes an AWS CodeBuild project. The CodeBuild project packages the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances.
Previous deployments have resulted in defects, EC2 instances that are not running the latest version of the packaged code, and inconsistencies between instances.
Which combination of actions should a DevOps engineer take to implement a more reliable deployment solution? (Select TWO.)

Answer: A,B

Explanation:
To implement a more reliable deployment solution, a DevOps engineer should take the following actions:
Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action. This action will improve the deployment reliability by automating the entire process from code commit to deployment, reducing human errors and inconsistencies. By running the build and test stages in parallel, the pipeline can also speed up the delivery time and provide faster feedback. By using CodeDeploy as the deployment action, the pipeline can leverage the features of CodeDeploy, such as traffic shifting, health checks, rollback, and deployment configuration123 Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group. This action will improve the deployment reliability by using CodeDeploy to orchestrate the deployment across multiple EC2 instances behind an ALB. CodeDeploy can perform blue/green deployments or in-place deployments with traffic shifting, which can minimize downtime and reduce risks. CodeDeploy can also monitor the health of the instances during and after the deployment, and automatically roll back if any issues are detected. By configuring the ALB for the deployment group, CodeDeploy can register and deregister instances from the load balancer as needed, ensuring that only healthy instances receive traffic45 The other options are not correct because they do not improve the deployment reliability or follow best practices. Creating separate pipeline stages that run a CodeBuild project to build and then test the application is not a good option because it will increase the pipeline execution time and delay the feedback loop. Creating individual Lambda functions that use CodeDeploy instead of Systems Manager to run build, test, and deploy actions is not a valid option because it will add unnecessary complexity and cost to the solution. Lambda functions are not designed for long-running tasks such as building or deploying applications. Creating an Amazon S3 bucket and modifying the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact is not a necessary option because it will not affect the deployment reliability. CodeArtifact is a secure, scalable, and cost-effective package management service that can store and share software packages for application development67 References:
1: What is AWS CodePipeline? - AWS CodePipeline
2: Create a pipeline in AWS CodePipeline - AWS CodePipeline
3: Deploy an application with AWS CodeDeploy - AWS CodePipeline
4: What is AWS CodeDeploy? - AWS CodeDeploy
5: Configure an Application Load Balancer for your blue/green deployments - AWS CodeDeploy
6: What is AWS Lambda? - AWS Lambda
7: What is AWS CodeArtifact? - AWS CodeArtifact


NEW QUESTION # 52
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company's internal auditors have administrative access to a single audit account within the organization. A DevOps engineer needs to provide a solution to give the auditors read-only access to all accounts within the organization, including new accounts created in the future. Which solution will meet these requirements?

Answer: B


NEW QUESTION # 53
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?

Answer: C

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 # 54
A media company has several thousand Amazon EC2 instances in an AWS account. The company is using Slack and a shared email inbox for team communications and important updates. A DevOps engineer needs to send all AWS-scheduled EC2 maintenance notifications to the Slack channel and the shared inbox. The solution must include the instances' Name and Owner tags.
Which solution will meet these requirements?

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/health/latest/ug/cloudwatch-events-health.html


NEW QUESTION # 55
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