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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Resilient Cloud Solutions15%- 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. Use Route 53 for routing and failover
  • 2. Implement auto scaling and load balancing
  • 3. Multi-AZ and multi-region deployments
- Ensure reliability and scalability
  • 1. Design for fault tolerance
  • 2. Optimize performance and cost
  • 3. Manage capacity and elasticity
Monitoring and Logging15%- Implement monitoring solutions
  • 1. Monitor infrastructure, applications, and costs
  • 2. Create dashboards and insights
  • 3. Use Amazon CloudWatch for metrics and alarms
- Automate incident response
  • 1. Automate remediation and scaling
  • 2. Implement alerting and notification workflows
  • 3. Set up event-driven actions with Amazon EventBridge
- Implement logging and analysis
  • 1. Analyze logs for troubleshooting and security
  • 2. Use AWS X-Ray for tracing
  • 3. Centralize logs with CloudWatch Logs
Security, Governance, and Compliance17%- Implement security controls
  • 1. Secure secrets and credentials
  • 2. Encrypt data at rest and in transit
  • 3. Manage IAM for pipelines and environments
- Enforce governance and compliance
  • 1. Implement compliance rules and audits
  • 2. Manage access and permissions at scale
  • 3. Use AWS Config and AWS Organizations
- 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
Configuration Management and Infrastructure as Code17%- Manage infrastructure deployments
  • 1. Manage multi-account and multi-region environments
  • 2. Provision and update resources automatically
  • 3. Implement version control for configurations
- Automate configuration management
  • 1. Detect and remediate configuration drift
  • 2. Maintain consistent configurations
  • 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
SDLC Automation22%- Automate software release processes
  • 1. Implement deployment strategies
  • 2. Manage artifacts and dependencies
  • 3. Automate rollback procedures
- Implement CI/CD pipelines
  • 1. Automate build, test, and deployment stages
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 3. Integrate version control systems
- Automate testing and validation
  • 1. Automate quality gates
  • 2. Unit, integration, and performance testing
  • 3. Security and compliance testing
Incident and Event Response14%- 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
- Automate event management
  • 1. Integrate with ticketing and workflow systems
  • 2. Classify and prioritize events
  • 3. Automate common operational tasks

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q373-Q378):

NEW QUESTION # 373
A company's DevOps engineer is working in a multi-account environment. The company uses AWS Transit Gateway to route all outbound traffic through a network operations account. In the network operations account all account traffic passes through a firewall appliance for inspection before the traffic goes to an internet gateway.
The firewall appliance sends logs to Amazon CloudWatch Logs and includes event seventies of CRITICAL, HIGH, MEDIUM, LOW, and INFO. The security team wants to receive an alert if any CRITICAL events occur.
What should the DevOps engineer do to meet these requirements?

Answer: D

Explanation:
Explanation
"The firewall appliance sends logs to Amazon CloudWatch Logs and includes event severities of CRITICAL, HIGH, MEDIUM, LOW, and INFO"


NEW QUESTION # 374
A company has configured an Amazon S3 event source on an AWS Lambda function The company needs the Lambda function to run when a new object is created or an existing object IS modified In a particular S3 bucket The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the created or modified S3 object The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.
The Lambda function's execution role has permissions to read from the S3 bucket and to write to the DynamoDB table, During testing, a DevOps engineer discovers that the Lambda function does not run when objects are added to the S3 bucket or when existing objects are modified.
Which solution will resolve this problem?

Answer: B

Explanation:
Explanation
Option A is incorrect because increasing the memory of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source.
Increasing the memory of the Lambda function might improve its performance or reduce its execution time, but it does not affect its invocation. Moreover, increasing the memory of the Lambda function might incur higher costs, as Lambda charges based on the amount of memory allocated to the function.
Option B is correct because creating a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket is a necessary step to configure an S3 event source. A resource policy is a JSON document that defines who can access a Lambda resource and under what conditions. By granting Amazon S3 permission to invoke the Lambda function, the company ensures that the Lambda function runs when a new object is created or an existing object is modified in the S3 bucket1.
Option C is incorrect because configuring an Amazon Simple Queue Service (Amazon SQS) queue as an On-Failure destination for the Lambda function does not help with triggering the Lambda function.
An On-Failure destination is a feature that allows Lambda to send events to another service, such as SQS or Amazon Simple Notification Service (Amazon SNS), when a function invocation fails.
However, this feature only applies to asynchronous invocations, and S3 event sources use synchronous invocations. Therefore, configuring an SQS queue as an On-Failure destination would have no effect on the problem.
Option D is incorrect because provisioning space in the /tmp folder of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Provisioning space in the /tmp folder of the Lambda function might help with processing large files from the S3 bucket, as it provides temporary storage for up to 512 MB of data. However, it does not affect the invocation of the Lambda function.
References:
Using AWS Lambda with Amazon S3
Lambda resource access permissions
AWS Lambda destinations
[AWS Lambda file system]


NEW QUESTION # 375
A company deploys its corporate infrastructure on AWS across multiple AWS Regions and Availability Zones. The infrastructure is deployed on Amazon EC2 instances and connects with AWS loT Greengrass devices. The company deploys additional resources on on-premises servers that are located in the corporate headquarters.
The company wants to reduce the overhead involved in maintaining and updating its resources. The company's DevOps team plans to use AWS Systems Manager to implement automated management and application of patches. The DevOps team confirms that Systems Manager is available in the Regions that the resources are deployed m Systems Manager also is available in a Region near the corporate headquarters.
Which combination of steps must the DevOps team take to implement automated patch and configuration management across the company's EC2 instances loT devices and on-premises infrastructure? (Select THREE.)

Answer: B,C,E

Explanation:
https://aws.amazon.com/blogs/mt/how-to-centrally-manage-aws-iot-greengrass-devices-using-aws-systems-manager/?force_isolation=true


NEW QUESTION # 376
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda function With the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?

Answer: A

Explanation:
Option A is incorrect because S3 event notifications do not support s3.ObjectTagging:Put events. S3 event notifications only support events related to object creation, deletion, replication, and restore. Moreover, enabling bucket versioning on the S3 bucket is not relevant to the tagging requirements, as it only keeps multiple versions of objects in the bucket.
Option B is incorrect because enabling server access logging on the S3 bucket does not help with tagging the resources. Server access logging only records requests for access to the bucket or its objects. It does not capture the user ID or the cost center ID of the resources. Furthermore, creating an S3 event notification on the S3 bucket for s3.ObjectTagging:Put events is not possible, as explained in option A.
Option C is incorrect because creating a recurring hourly Amazon EventBridge scheduled rule that invokes the Lambda function is not efficient or timely. The Lambda function would have to read the logs from the S3 bucket every hour and tag the resources accordingly, which could incur unnecessary costs and delays. A better solution would be to trigger the Lambda function as soon as a resource is created, rather than waiting for an hourly schedule.
Option D is correct because creating an Amazon EventBridge rule that uses Amazon EC2 as the event source and matches events delivered by CloudTrail is a valid way to tag the resources. CloudTrail records all API calls made to AWS services, including EC2, and delivers them as events to EventBridge. The EventBridge rule can filter the events based on the user ID and the resource type, and then target the Lambda function to tag the resources with the cost center ID. This solution meets the tagging requirements in a timely and efficient manner.
Reference:
S3 event notifications
Server access logging
Amazon EventBridge rules
AWS CloudTrail


NEW QUESTION # 377
A DevOps engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?

Answer: C


NEW QUESTION # 378
......

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