最新上傳的DOP-C02指南&DOP-C02：AWS Certified DevOps Engineer - Professional

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Amazon DOP-C02 Exam Syllabus Topics:

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

>> DOP-C02指南 <<

DOP-C02測試 - 最新DOP-C02考題

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最新的 AWS Certified Professional DOP-C02 免費考試真題 (Q183-Q188):

問題 #183
A company wants to use a grid system for a proprietary enterprise m-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes an /etc./cluster/nodes config file must be updated listing the IP addresses of the current node members of that cluster.
The company wants to automate the task of adding new nodes to a cluster.
What can a DevOps engineer do to meet these requirements?

答案：B

解題說明：
You can run custom recipes manually, but the best approach is usually to have AWS OpsWorks Stacks run them automatically. Every layer has a set of built-in recipes assigned each of five lifecycle events-Setup, Configure, Deploy, Undeploy, and Shutdown. Each time an event occurs for an instance, AWS OpsWorks Stacks runs the associated recipes for each of the instance's layers, which handle the corresponding tasks. For example, when an instance finishes booting, AWS OpsWorks Stacks triggers a Setup event. This event runs the associated layer's Setup recipes, which typically handle tasks such as installing and configuring packages


問題 #184
A company needs a strategy for failover and disaster recovery of its data and application. The application uses a MySQL database and Amazon EC2 instances. The company requires a maximum RPO of 2 hours and a maximum RTO of 10 minutes for its data and application at all times.
Which combination of deployment strategies will meet these requirements? (Select TWO.)

答案：C,D

解題說明：
To meet the requirements of failover and disaster recovery, the company should use the following deployment strategies:
* Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in thesecondary Region.This strategy can provide a low RPO and RTO for the data, as Aurora global database replicates data with minimal latency across Regions and allows fast and easy failover12.The company can use the Amazon Aurora cluster endpoint to connect to the current primary DB cluster without needing to change any application code1.
* Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region.This strategy can provide high availability and performance for the application, as AWS Global Accelerator uses the AWS global network to route traffic to the closest healthy endpoint3.The company can also use static IP addresses that are assigned by Global Accelerator as a fixed entry point for their application1.By using health checks and Auto Scaling groups, the company can ensure that their application can scale up or down based on demand and handle any instance failures4.
The other options are incorrect because:
* Creating an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store would not provide a fast failover or disaster recovery solution, as the company would need to manually restore data from backups or snapshots in another Region in case of a failure.
* Creating an Amazon Aurora cluster in multiple AWS Regions as the data store and using a Network Load Balancer to balance the database traffic in different Regions would not work, as Network Load Balancers do not support cross-Region routing. Moreover, this strategy would not provide a consistent view of the data across Regions, as Aurora clusters do not replicate data automatically between Regions unless they are part of a global database.
* Setting up the application in two AWS Regions and using Amazon Route 53 failover routing that points to Application Load Balancers in both Regions would not provide a low RTO, as Route 53 failover routing relies on DNS resolution, which can take time to propagate changes across different DNS servers and clients. Moreover, this strategy would not provide deterministic routing, as Route 53 failover routing depends on DNS caching behavior, which can vary depending on different factors.


問題 #185
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
* Separate environment pipelines for testing and production
* Automatic deployment that occurs for test environments only
Which steps should be taken to meet these requirements'?

答案：B

解題說明：
The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
:
AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks


問題 #186
A company has an organization in AWS Organizations. The organization includes workload accounts that contain enterprise applications. The company centrally manages users from an operations account. No users can be created in the workload accounts. The company recently added an operations team and must provide the operations team members with administrator access to each workload account.
Which combination of actions will provide this access? (Choose three.)

答案：D,E,F

解題說明：
Explanation
https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html


問題 #187
A company provides an application to customers. The application has an Amazon API Gateway REST API that invokes an AWS Lambda function. On initialization, the Lambda function loads a large amount of data from an Amazon DynamoDB table. The data load process results in long cold-start times of 8-10 seconds. The DynamoDB table has DynamoDB Accelerator (DAX) configured.
Customers report that the application intermittently takes a long time to respond to requests. The application receives thousands of requests throughout the day. In the middle of the day, the application experiences 10 times more requests than at any other time of the day. Near the end of the day, the application's request volume decreases to 10% of its normal total.
A DevOps engineer needs to reduce the latency of the Lambda function at all times of the day.
Which solution will meet these requirements?

答案：C

解題說明：
The following are the steps that the DevOps engineer should take to reduce the latency of the Lambda function at all times of the day:
Configure provisioned concurrency on the Lambda function.
Configure AWS Application Auto Scaling on the Lambda function with provisioned concurrency values set to a minimum of 1 and a maximum of 100.
The provisioned concurrency setting ensures that there is always a minimum number of Lambda function instances available to handle requests. The Application Auto Scaling setting will automatically scale the number of Lambda function instances up or down based on the demand for the application.
This solution will ensure that the Lambda function is able to handle the increased load during the middle of the day, while also keeping the cold-start latency low.
The following are the reasons why the other options are not correct:
Option A is incorrect because it will not reduce the cold-start latency of the Lambda function.
Option B is incorrect because it will not scale the number of Lambda function instances up or down based on demand.
Option D is incorrect because it will only configure reserved concurrency on the API Gateway API, which will not affect the Lambda function.


問題 #188
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