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Exam Code:
DOP-C02
Exam Name:
AWS Certified DevOps Engineer - Professional
Last Update: Nov 14, 2024
250 Questions Answers with Explanation Detail
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Exam Code:
DOP-C02
Total Questions:
250 Q&A's
Single Choice Questions:
178 Q&A's
Multiple Choice Questions:
72 Q&A's

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All AWS Certified Professional Related Certification Exams

SAP-C02 Dumps
AWS Certified Solutions Architect - Professional
Total Questions: 483
Updated: 14-Nov-2024
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Amazon Web Services DOP-C02 Exam Dumps FAQs

The AWS Certified DevOps Engineer - Professional certification validates an individuals technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Achieving this certification demonstrates confidence and credibility in handling secure, compliant, highly available, and scalable systems.
The AWS DOP-C02 exam is ideal for experienced DevOps engineers with at least 2 years of experience designing, operating, and managing distributed applications on AWS.

The AWS DOP-C02 exam covers a broad range of DevOps principles and practices on AWS, including:

  • Continuous Integration and Delivery (CI/CD)
  • Infrastructure as Code (IaC)
  • Security and Compliance
  • Monitoring, Logging, and Alerting
  • Cost Optimization
The AWS DOP-C02 exam format is subject to change by AWS, but it typically consists of 65-75 questions in a multiple-choice and multiple-response format.
AWS uses a scaled scoring system, and the minimum passing score is not publicly disclosed. However, it's generally around 750 on a scale of 100-1000.

Let’s explore the differences between the AWS Certified DevOps Engineer - Professional (DOP-C02) and the AWS Certified Solutions Architect - Professional (SAP-C02) exams:

  • AWS DOP-C02 Exam: The DOP-C02 Exam validates your technical ability to deploy, operate, and manage distributed application systems on the AWS platform.
  • AWS SAP-C02 Exam: The SAP-C02 Exam validates your expertise in architecting complex solutions on AWS.

In summary, both exams emphasize advanced AWS skills, but the DOP-C02 focuses on DevOps practices, while the SAP-C02 emphasizes architecture and multi-account environments. Choose the one that aligns best with your career goals and expertise!

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AWS Certified DevOps Engineer - Professional Questions and Answers

Questions 1

A company has a mission-critical application on AWS that uses automatic scaling The company wants the deployment lilecycle to meet the following parameters.

• The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic

• The application is CPU intensive and must be closely monitored

• The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.

Which solution will meet these requirements?

Options:

A.

Use AWS CloudFormalion to create an AWS Step Functions state machine and Auto Scaling hfecycle hooks to move to one instance at a time into a wait state Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

B.

Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

C.

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.

D.

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached

Questions 2

A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzips the artifact to complete the deployment.

A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.

Which combination of actions will accomplish this? (Select THREE)

Options:

A.

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

B.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

C.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

D.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

E.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

F.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Questions 3

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

Options:

A.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

B.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

C.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

D.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

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