DOP-C02 LATEST EXAM PATTERN & RELIABLE DOP-C02 STUDY PLAN

DOP-C02 Latest Exam Pattern & Reliable DOP-C02 Study Plan

DOP-C02 Latest Exam Pattern & Reliable DOP-C02 Study Plan

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is a professional-level certification offered by Amazon Web Services (AWS), which is designed to validate the skills and knowledge of individuals working in DevOps roles. DOP-C02 exam focuses on the advanced concepts and best practices of DevOps, such as continuous integration and deployment, infrastructure as code, monitoring, and automation. DOP-C02 exam is intended for individuals with at least two years of experience in DevOps and familiarity with AWS services.

To prepare for the Amazon DOP-C02 Exam, candidates should have a good understanding of AWS services and DevOps practices, and have hands-on experience in deploying and managing applications on the AWS platform. AWS offers a range of training courses, practice exams, and certification guides to help candidates prepare for the exam. Passing the Amazon DOP-C02 exam is a valuable asset for DevOps engineers, as it validates their expertise in managing applications on the AWS platform, and can lead to better job opportunities and higher salaries.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q80-Q85):

NEW QUESTION # 80
A company uses containers for its applications The company learns that some container Images are missing required security configurations A DevOps engineer needs to implement a solution to create a standard base image The solution must publish the base image weekly to the us-west-2 Region, us-east-2 Region, and eu-central-1 Region.
Which solution will meet these requirements?

  • A. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeOeploy to publish the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2 Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly
  • B. Create an EC2 Image Builder pipeline that uses a container recipe to build the image. Configure the pipeline to distribute the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2. Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly
  • C. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeDeploy to publish the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.
  • D. Create an EC2 Image Builder pipeline that uses a container recipe to build the Image Configure the pipeline to distribute the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.

Answer: D

Explanation:
Create an EC2 Image Builder Pipeline that Uses a Container Recipe to Build the Image:
EC2 Image Builder simplifies the creation, maintenance, validation, and sharing of container images.
By using a container recipe, you can define the base image, components, and validation tests for your container image.
Configure the Pipeline to Distribute the Image to Amazon Elastic Container Registry (Amazon ECR) Repositories in All Three Regions:
Amazon ECR provides a secure, scalable, and reliable container registry.
Configuring the pipeline to distribute the image to ECR repositories in us-west-2, us-east-2, and eu-central-1 ensures that the image is available in all required regions.
Configure the Pipeline to Run Weekly:
Setting the pipeline to run on a weekly schedule ensures that the base image is regularly updated and published, incorporating any new security configurations or updates.
By using EC2 Image Builder to automate the creation and distribution of the container image, the solution ensures that the base image is consistently maintained and available across multiple regions with minimal management overhead.
Reference:
EC2 Image Builder
Amazon ECR
Setting Up EC2 Image Builder Pipelines


NEW QUESTION # 81
A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.
Which solution will meet these requirements?

  • A. Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.
  • B. Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.
  • C. Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.
  • D. Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/blogs/devops/how-to-test-and-debug-aws-codedeploy-locally-before-you-ship-your-cod


NEW QUESTION # 82
A company's application is currently deployed to a single AWS Region. Recently, the company opened a new office on a different continent. The users in the new office are experiencing high latency. The company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB) and uses Amazon DynamoDB as the database layer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones. A DevOps engineer is tasked with minimizing application response times and improving availability for users in both Regions.
Which combination of actions should be taken to address the latency issues? (Choose three.)

  • A. Create new ALB and Auto Scaling group resources in the new Region and configure the new ALB to direct traffic to the new Auto Scaling group.
  • B. Create new ALB and Auto Scaling group global resources and configure the new ALB to direct traffic to the new Auto Scaling group.
  • C. Create a new DynamoDB table in the new Region with cross-Region replication enabled.
  • D. Create Amazon Route 53 records, health checks, and latency-based routing policies to route to the ALB.
  • E. Create Amazon Route 53 aliases, health checks, and failover routing policies to route to the ALB.
  • F. Convert the DynamoDB table to a global table.

Answer: A,D,F

Explanation:
C: Create new ALB and Auto Scaling group resources in the new Region and configure the new ALB to direct traffic to the new Auto Scaling group. This will allow users in thenew Region to access the application with lower latency by reducing the network hops between the user and the application servers.
D: Create Amazon Route 53 records, health checks, and latency-based routing policies to route to the ALB.
This will enable Route 53 to route user traffic to the nearest healthy ALB, based on the latency between the user and the ALBs.
F: Convert the DynamoDB table to a global table. This will enable reads and writes to the table in both Regions with low latency, improving the overall response time of the application


NEW QUESTION # 83
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:EC2: lnstance resource of the UserData property.
  • B. Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.
  • C. Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.
  • D. 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.

Answer: B

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 # 84
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?

  • A. 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.
  • B. Configure reserved concurrency on the Lambda function with a concurrency value of 0.
  • C. Configure reserved concurrency on the Lambda function. Configure AWS Application Auto Scaling on the API Gateway API with a reserved concurrency maximum value of 100.
  • D. Configure provisioned concurrency on the Lambda function with a concurrency value of 1. Delete the DAX cluster for the DynamoDB table.

Answer: A

Explanation:
Explanation
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.


NEW QUESTION # 85
......

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