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| Section | Weight | Objectives |
|---|
| Topic 1: SDLC Automation | 22% | - Automate testing and validation
- 1. Security and compliance testing
- 2. Automate quality gates
- 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Integrate version control systems
- 3. Automate build, test, and deployment stages
- Automate software release processes
- 1. Implement deployment strategies
- 2. Automate rollback procedures
- 3. Manage artifacts and dependencies
|
| Topic 2: 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. Manage IAM for pipelines and environments
- 2. Encrypt data at rest and in transit
- 3. Secure secrets and credentials
- Enforce governance and compliance
- 1. Use AWS Config and AWS Organizations
- 2. Manage access and permissions at scale
- 3. Implement compliance rules and audits
|
| Topic 3: 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. Test and validate recovery plans
- 2. Pilot light, warm standby, and active-active
- 3. Backup and restore strategies
- Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Manage capacity and elasticity
- 3. Design for fault tolerance
|
| Topic 4: Incident and Event Response | 14% | - Automate event management
- 1. Classify and prioritize events
- 2. Integrate with ticketing and workflow systems
- 3. Automate common operational tasks
- Manage incidents and outages
- 1. Troubleshoot complex issues
- 2. Coordinate response and recovery
- 3. Document and learn from events
- Improve operational processes
- 1. Implement feedback loops
- 2. Optimize response time and efficiency
- 3. Update runbooks and playbooks
|
| Topic 5: 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
- Automate configuration management
- 1. Detect and remediate configuration drift
- 2. Use AWS Systems Manager, Ansible, or Puppet
- 3. Maintain consistent configurations
- Implement infrastructure as code
- 1. Use AWS CloudFormation, Terraform, or AWS CDK
- 2. Enforce configuration standards
- 3. Manage templates and stacks
|
| Topic 6: Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Use AWS X-Ray for tracing
- 2. Centralize logs with CloudWatch Logs
- 3. Analyze logs for troubleshooting and security
- 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. 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 (Q342-Q347):
NEW QUESTION # 342
A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps engineer update the CloudFormation template to resolve this issue?
- A. Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.
- B. Reference the ECS cluster in the AWS: CloudFormation: CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
- C. Reference the ECS cluster in the AWS:EC2: lnstance resource of the UserData property.
- D. Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.
Answer: A
Explanation:
Explanation
The UserData property of the AWS: AutoScaling: LaunchConfiguration resource can be used to specify a script that runs when the EC2 instances are launched. This script can include the ECS cluster name as an environment variable for the ECS agent running on the EC2 instances. This way, the EC2 instances will register with the correct ECS cluster. Option A is incorrect because the AWS: ECS: Cluster resource does not have a property to reference the EC2 instances. Option C is incorrect because the EC2 instances are launched by the Auto Scaling group, not by the AWS: EC2: Instance resource. Option D is incorrect because using a custom resource and a Lambda function is unnecessary and overly complex for this scenario. References: AWS::AutoScaling::LaunchConfiguration, Amazon ECS Container Agent Configuration
NEW QUESTION # 343
A company is implementing AWS CodePipeline to automate its testing process The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon EventBridge:

Which type of events will match this event pattern?
- A. All the events across all pipelines
- B. Failed deploy and build actions across all the pipelines
- C. Approval actions across all the pipelines
- D. All rejected or failed approval actions across all the pipelines
Answer: D
Explanation:
Action-level states in events
Action state Description
STARTED The action is currently running.
SUCCEEDED The action was completed successfully.
FAILED For Approval actions, the FAILED state means the action was either rejected by the reviewer or failed due to an incorrect action configuration.
CANCELED The action was canceled because the pipeline structure was updated.
NEW QUESTION # 344
A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host its machine learning (ML) application. As the ML model and the container image size grow, the time that new pods take to start up has increased to several minutes.
A DevOps engineer needs to reduce the startup time to seconds. The solution must also reduce the startup time to seconds when the pod runs on nodes that were recently added to the cluster.
The DevOps engineer creates an Amazon EventBridge rule that invokes an automation in AWS Systems Manager. The automation prefetches the container images from an Amazon Elastic Container Registry (Amazon ECR) repository when new images are pushed to the repository. The DevOps engineer also configures tags to be applied to the cluster and the node groups.
What should the DevOps engineer do next to meet the requirements?
- A. Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's control plane nodes. Create a Systems Manager State Manager association that uses the nodes' tags to prefetch corresponding container images.
- B. Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's control plane nodes. Create a Systems Manager State Manager association that uses the control plane nodes' tags to prefetch corresponding container images.
- C. Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's nodes. Create a Systems Manager State Manager association that uses the nodes' tags to prefetch corresponding container images.
- D. Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster's nodes. Create a Systems Manager State Manager association that uses the nodes' machine size to prefetch corresponding container images.
Answer: C
Explanation:
The startup delay occurs because large container images must be pulled from Amazon ECR when pods are scheduled, especially on newly added nodes that do not have cached images. To consistently reduce pod startup time to seconds, container images must be prefetched directly onto the worker nodes that run the pods, not the EKS control plane.
Amazon EKS control plane nodes are fully managed by AWS and cannot be accessed or modified using AWS Systems Manager. Therefore, any solution that attempts to run Systems Manager commands on control plane nodes is invalid. Prefetching must target the EKS worker nodes (EC2 instances in managed node groups) where container images are actually stored and used.
Option C correctly creates an IAM role that allows Amazon EventBridge to invoke AWS Systems Manager to run commands on the EKS worker nodes. By using Systems Manager State Manager associations with node tags, the automation dynamically targets both existing nodes and newly added nodes that inherit the same tags. This ensures that container images are pulled immediately when a new image is pushed to ECR or when new nodes join the cluster.
Option B incorrectly targets nodes based on machine size, which is not reliable for lifecycle automation. Options A and D incorrectly reference control plane nodes, which cannot be managed with Systems Manager.
Therefore, Option C is the correct and AWS-aligned solution to ensure fast pod startup times across all nodes.
NEW QUESTION # 345
A company requires its developers to tag all Amazon Elastic Block Store (Amazon EBS) volumes in an account to indicate a desired backup frequency. This requirement Includes EBS volumes that do not require backups. The company uses custom tags named Backup_Frequency that have values of none, dally, or weekly that correspond to the desired backup frequency. An audit finds that developers are occasionally not tagging the EBS volumes.
A DevOps engineer needs to ensure that all EBS volumes always have the Backup_Frequency tag so that the company can perform backups at least weekly unless a different value is specified.
Which solution will meet these requirements?
- A. Set up AWS Config in the account. Create a custom rule that returns a compliance failure for all Amazon EC2 resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.
- B. Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.
- C. Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events or EBS ModifyVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.
- D. Set up AWS Config in the account. Use a managed rule that returns a compliance failure for EC2::Volume resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.
Answer: D
Explanation:
The following are the steps that the DevOps engineer should take to ensure that all EBS volumes always have the Backup_Frequency tag so that the company can perform backups at least weekly unless a different value is specified:
Set up AWS Config in the account.
Use a managed rule that returns a compliance failure for EC2::Volume resources that do not have a Backup Frequency tag applied.
Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.
The managed rule AWS::Config::EBSVolumesWithoutBackupTag will return a compliance failure for any EBS volume that does not have the Backup_Frequency tag applied. The remediation action will then use the Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly to the EBS volume.
NEW QUESTION # 346
A company uses AWS Organizations to manage multiple accounts. Information security policies require that all unencrypted Amazon EBS volumes be marked as non-compliant. A DevOps engineer needs to automatically deploy the solution and ensure that this compliance check is always present.
Which solution will accomplish this?
- A. Create an AWS Config organizational rule to check whether EBS encryption is enabled and deploy the rule using the AWS CLI. Create and apply an SCP to prohibit stopping and deleting AWS Config across the organization.
- B. Create an SCP in Organizations. Set the policy to prevent the launch of Amazon EC2 instances without encryption on the EBS volumes using a conditional expression. Apply the SCP to all AWS accounts.
Use Amazon Athena to analyze the AWS CloudTrail output, looking for events that deny an ec2:
RunInstances action. - C. Create an AWS CloudFormation template that defines an AWS Inspector rule to check whether EBS encryption is enabled. Save the template to an Amazon S3 bucket that has been shared with all accounts within the company. Update the account creation script pointing to the CloudFormation template in Amazon S3.
- D. Deploy an IAM role to all accounts from a single trusted account. Build a pipeline with AWS CodePipeline with a stage in AWS Lambda to assume the IAM role, and list all EBS volumes in the account. Publish a report to Amazon S3.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/config/latest/developerguide/ec2-ebs-encryption-by-default.html
NEW QUESTION # 347
......
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