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To prepare for the Amazon DOP-C01 certification exam, candidates should have a deep understanding of AWS services, DevOps practices, and automation tools. They should also have hands-on experience with AWS services and be able to design, deploy, and manage highly available and fault-tolerant systems on the AWS platform. Additionally, candidates should be able to apply DevOps principles to solve business problems and improve the efficiency and reliability of their organizations' IT systems.
To be eligible for the DOP-C01 Certification Exam, candidates must have a minimum of two years of experience in developing and operating applications on the AWS platform. They must also have experience in DevOps practices, including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), monitoring and logging, and automation.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q363-Q368):
NEW QUESTION # 363
There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?
- A. A, C, B
- B. On-Demand B. Spot C. Reserved
- C. B, C, A
- D. C, B, A
- E. A, B, C
Answer: D
Explanation:
Spot instances are usually many, many times cheaper than on-demand prices. Reserved instances, depending on their term and utilization, can yield approximately 33% to 66% cost savings. On-Demand prices are the baseline price and are the most expensive way to purchase EC2 compute time.
Reference:
https://d0.awsstatic.com/whitepapers/Cost_Optimization_with_AWS.pdf
NEW QUESTION # 364
A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route 53 weighted routing policy.
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambda. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base.
Which deployment strategy will meet these requirements?
- A. Use AWS Elastic Beanstalk to deploy API Gateway and Lambda functions.
When code needs to be
changed, delpoy a new version of the API and Lambda functions.
Shift traffic gradually using an Elastic Beanstalk blue/green deployment. - B. Use AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions.
When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy.
Promote the new version when testing is complete. - C. Use AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer.
When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually. - D. Use AWS CDK to deploy API Gateway and Lambda functions.
When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions.
Use a Route 53 failover routing policy for the canary release strategy.
Answer: B
NEW QUESTION # 365
A company runs an application consisting of an AWS CodeDeploy deployment group that uses Auto Scaling and an Application Load Balancer. The application deployments are automated using AWS CodePipeline, which consists of AWS CodeCommit as the source and AWS CodeDeploy as the deployment provider.
After a recent successful deployment, the application experienced an outage for several minutes until the deployment was manually rolled back. A DevOps engineer verified that the pipeline was successful and did not indicate any errors, but found that the code caused the application to become unresponsive after several hours.
Which actions will help to prevent future downtime in similar situations? (Choose two.)
- A. Create a script to test the application health and execute the script during the BeforeInstall lifecycle hook in the CodeDeploy appspec.yml file.
- B. Configure an HTTP or HTTPS health check for the Auto Scaling target group to check a specific application path.
- C. Update the CodeDeploy deployment group to roll back automatically to the previous version if the deployment fails.
- D. Update the CodeDeploy deployment group to roll back based on a custom Amazon CloudWatch alarm using an application status metric.
- E. Configure a TCP health check for the Auto Scaling target group on a listening port of the application.
Answer: A,D
NEW QUESTION # 366
An IT department manages a portfolio with Windows and Linux (Amazon and Red Hat Enterprise Linux) servers both on-premises and on AWS. An audit reveals that there is no process for updating OS and core application patches, and that the servers have inconsistent patch levels.
Which of the following provides the MOST reliable and consistent mechanism for updating and maintaining all servers at the recent OS and core application patch levels?
- A. Install AWS Systems Manager agent on all on-premises and AWS servers. Create Systems Manager Resource Groups. Use Systems Manager Patch Manager with a preconfigured patch baseline to run scheduled patch updates during maintenance windows.
- B. Install the AWS OpsWorks agent on all on-premises and AWS servers. Create an OpsWorks stack with separate layers for each operating system, and get a recipe from the Chef supermarket to run the patch commands for each layer during maintenance windows.
- C. Use AWS Systems Manager Parameter Store to securely store credentials for each Linux and Windows server. Create Systems Manager Resource Groups. Use the Systems Manager Run Command to remotely deploy patch updates using the credentials in Systems Manager Parameter Store
- D. Use a shell script to install the latest OS patches on the Linux servers using yum and schedule it to run automatically using cron. Use Windows Update to automatically patch Windows servers.
Answer: A
Explanation:
Explanation
1- https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-patch-patchgroups.html 2-
https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-patch.html
NEW QUESTION # 367
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?
- A. Parametrize the template and use <code>Mappings</code> to ensure your template works in multiple Regions.
- B. Use the AWS CloudFormation <code>ValidateTemplate</code> call before publishing changes to AWS.
- C. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
- D. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
Answer: C
Explanation:
Putting all resources in one stack is a bad idea, since different tiers have different life cycles and frequencies of change. For additional guidance about organizing your stacks, you can use two common frameworks: a multi- layered architecture and service-oriented architecture (SOA).
Reference: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/ bestpractices.html#organizingstacks
NEW QUESTION # 368
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