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| Section | Weight | Objectives |
|---|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Implement distributed tracing (AWS X-Ray)
- 3. Design custom metrics and alarms (Amazon CloudWatch)
- Design and implement alerting and incident management
- 1. Design runbook automation
- 2. Implement automated incident response
- 3. Create alarm notification strategies
|
| Policies and Standards Automation | 10% | - Design and implement preventive and detective controls
- 1. Implement drift detection and remediation
- 2. Design and implement security baselines
- 3. Implement AWS Organizations and SCPs
- Design and implement governance strategies
- 1. Implement tagging policies and resource grouping
- 2. Design cost optimization through policies
- 3. Implement approval workflows and automation
|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
- 1. Design resilience testing strategies
- 2. Implement fault injection experiments (AWS Fault Injection Simulator)
- 3. Analyze system behavior under failure conditions
- Design and implement event and incident management
- 1. Implement automated response playbooks
- 2. Implement automated incident detection
- 3. Design event aggregation and correlation
|
| SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Determine branching strategies
- 2. Implement repository configurations and hooks
- 3. Design code review and approval processes
- Design and implement CI/CD pipelines
- 1. Implement deployment strategies (blue-green, canary, rolling)
- 2. Determine appropriate CI/CD pipeline architecture
- 3. Design failure handling strategies
- 4. Develop CI/CD pipelines considering testing and security requirements
- Design build and test environments
- 1. Implement build environments (isolated, reproducible)
- 2. Design test automation frameworks
- 3. Integrate security scanning and compliance checks
|
| High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
- 1. Implement auto scaling strategies
- 2. Design multi-AZ and multi-region architectures
- 3. Implement load balancing and traffic management
- Design and implement disaster recovery strategies
- 1. Implement pilot light and warm standby architectures
- 2. Implement backup and restore mechanisms
- 3. Design RTO and RPO based DR solutions
- 4. Implement multi-region active-active architectures
- Implement data backup and restore strategies
- 1. Implement validation testing for backups
- 2. Implement cross-region replication
- 3. Design point-in-time recovery solutions
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement infrastructure as code
- 1. Develop IaC templates (AWS CloudFormation, Terraform)
- 2. Design for scalability and repeatability
- 3. Implement modular and reusable infrastructure components
- Implement compliance and configuration monitoring
- 1. Implement AWS CloudTrail for auditing
- 2. Use AWS Config for compliance monitoring
- 3. Design remediation automation
- Design and implement data management strategies
- 1. Design backup and recovery solutions
- 2. Implement data lifecycle management
- 3. Implement database migration strategies
- Design and implement configuration management
- 1. Implement parameter management (AWS Parameter Store, Secrets Manager)
- 2. Implement AWS Systems Manager for configuration management
- 3. Design patch management strategies
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q73-Q78):
NEW QUESTION # 73
A company is developing a microservices-based application on AWS. The application consists of AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) services that need to be deployed frequently.
A DevOps engineer needs to implement a consistent deployment solution across all components of the application. The solution must automate the deployments, minimize downtime during updates, and manage configuration data for the application.
Which solution will meet these requirements with the LEAST deployment effort?
- A. Use AWS Systems Manager to manage deployments for the Lambda functions and ECS services.Implement all-at-once deployments for the Lambda functions. Implement rolling updates for the ECS services. Use AWS Secrets Manager to manage the configuration data.
- B. Use AWS CodeDeploy to manage deployments for the Lambda functions and ECS services. Implement canary deployments for the Lambda functions. Implement blue/green deployments for the ECS services. Use AWS Systems Manager Parameter Store to manage the configuration data.
- C. Use AWS CloudFormation to define and provision the Lambda functions and ECS services. Implement stack updates with resource replacement for all components. Use AWS Secrets Manager to manage the configuration data.
- D. Use AWS Step Functions to orchestrate deployments for the Lambda functions and ECS services. Use canary deployments for the Lambda functions and ECS services in a different AWS Region. Use AWS Systems Manager Parameter Store to manage the configuration data.
Answer: B
Explanation:
AWS CodeDeploy supports deployment of both Lambda functions and ECS services with native integration.
* It provides deployment strategies such as canary deployments for Lambda and blue/green deployments for ECS, which minimize downtime and risk.
* CodeDeploy automates the deployment process, which reduces manual effort and improves consistency.
* AWS Systems Manager Parameter Store is a simple, managed solution for storing configuration data securely and at scale.
* Option A uses CloudFormation stack updates with resource replacement, which can cause downtime and is less flexible for minimizing downtime compared to CodeDeploy's deployment strategies.
* Option C adds unnecessary orchestration complexity with Step Functions and cross-region deployments, increasing deployment effort.
* Option D's all-at-once deployments for Lambda and rolling updates for ECS do not minimize downtime as effectively as canary and blue/green strategies. Hence, option B meets the requirement with the least deployment effort and maximizes automation and availability.
Reference from AWS Official Documentation:
* Deploying Lambda Functions with CodeDeploy: " AWS CodeDeploy supports canary and linear deployment strategies for AWS Lambda functions to reduce deployment risk. " (CodeDeploy Lambda Deployment)
* Deploying ECS Services with CodeDeploy Blue/Green: " CodeDeploy supports blue/green deployments for ECS to minimize downtime during service updates. " (CodeDeploy ECS Blue/Green)
* AWS Systems Manager Parameter Store: " Parameter Store provides secure, hierarchical storage for configuration data management. " (Systems Manager Parameter Store)
NEW QUESTION # 74
A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks.
Changes to application resources outside of CloudFormation stack updates are not allowed.
The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update:
[AutoScalingGroup]."
The stack remains in a status of UPDATE_ROLLBACK_FAILED. *
Which solution will resolve this issue?
- A. Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.
- B. Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.
- C. Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.
- D. Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.
Answer: C
Explanation:
Explanation
https://repost.aws/knowledge-center/cloudformation-update-rollback-failed If your stack is stuck in the UPDATE_ROLLBACK_FAILED state after a failed update, then the only actions that you can perform on the stack are the ContinueUpdateRollback or DeleteStack operations.
NEW QUESTION # 75
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. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
NEW QUESTION # 76
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?
- A. Use AWS Firewall Manager to apply consistent policies across all accounts. Create an Amazon.EventBridge event rule that is invoked by Firewall Manager events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.
- B. Create an Amazon CloudWatch metric filter by using a search for CRITICAL events Publish a custom metric for the finding. Use a CloudWatch alarm based on the custom metric to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team's email address to the topic.
- C. Enable Amazon GuardDuty in the network operations account. Configure GuardDuty to monitor flow logs Create an Amazon EventBridge event rule that is invoked by GuardDuty events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.
- D. Create an Amazon CloudWatch Synthetics canary to monitor the firewall state. If the firewall reaches a CRITICAL state or logs a CRITICAL event use a CloudWatch alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the security team's email address to the topic.
Answer: B
Explanation:
Explanation
"The firewall appliance sends logs to Amazon CloudWatch Logs and includes event severities of CRITICAL, HIGH, MEDIUM, LOW, and INFO"
NEW QUESTION # 77
A DevOps team operates an integration service that runs on an Amazon EC2 instance. The DevOps team uses Amazon Route 53 to manage the integration service's domain name by using a simple routing record. The integration service is stateful and uses Amazon Elastic File System (Amazon EFS) for data storage and state storage. The integration service does not support load balancing between multiple nodes. The DevOps team deploys the integration service on a new EC2 instance as a warm standby to reduce the mean time to recovery.
The DevOps team wants the integration service to automatically fail over to the standby EC2 instance. Which solution will meet these requirements?
- A. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 99. Set the standby target group's weighting to 1.
- B. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 99. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 1. Associate an application health check with each record. - C. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.
Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 100. Set the standby target group's weighting to 0. - D. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 100. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 0. Associate an application health check with each record.
Answer: D
NEW QUESTION # 78
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