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DOP-C02 Questions and Answers

Question # 1

A company is testing a web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company uses a blue green deployment process with immutable instances when deploying new software.

During testing users are being automatically logged out of the application at random times. Testers also report that when a new version of the application is deployed all users are logged out. The development team needs a solution to ensure users remain logged m across scaling events and application deployments.

What is the MOST operationally efficient way to ensure users remain logged in?

Enable smart sessions on the load balancer and modify the application to check tor an existing session.

Enable session sharing on the toad balancer and modify the application to read from the session store.

Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.

Modify the application to store user session information in an Amazon ElastiCache cluster.

Question # 2

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?

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.

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.

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.

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.

Question # 3

A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon Elastic Container Service (Amazon ECS) using the blue/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.

Which strategy will meet these requirements?

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.

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Amazon Web Services DOP-C02 Exam Dumps FAQs

What is Amazon Web Services DOP-C02 exam?

The Amazon Web Services (AWS) DOP-C02 exam, also known as the AWS Certified DevOps Engineer Professional exam, is designed to validate the technical expertise of individuals in provisioning, operating, and managing distributed application systems on the AWS platform. This certification demonstrates a professionals ability to implement and manage continuous delivery systems and methodologies on AWS, automate security controls, and ensure compliance and governance processes.

What is the format of Amazon Web Services DOP-C02 exam?

The AWS DOP-C02 exam consists of 75 questions, which are presented in multiple-choice and multiple-response formats. Candidates have 180 minutes to complete the exam. The exam can be taken at a Pearson VUE testing center or through an online proctored exam.

What is the Amazon Web Services DOP-C02 exam focused on?

The DOP-C02 exam focuses on several key areas, including continuous delivery and automation of processes, monitoring and logging, security and compliance, and incident and event response. It assesses the candidates ability to design, manage, and maintain tools to automate operational processes.

What is the worth of taking the AWS Certified Professional DOP-C02 exam?

Earning the AWS Certified DevOps Engineer Professional certification can significantly enhance your career prospects. It validates your expertise in AWS DevOps practices, making you a valuable asset to employers looking for skilled professionals to manage their AWS environments.

What are the prerequisites for the AWS Certified Professional DOP-C02 exam?

Candidates should have at least two years of experience provisioning, operating, and managing AWS environments. Additionally, they should have experience developing code in at least one high-level programming language, building highly automated infrastructures, and administering operating systems.

What is the passing score for the Amazon Web Services DOP-C02 exam?

The passing score for the AWS DOP-C02 exam is 750 out of 1000. The exam is scored using a scaled scoring model.

What is the difference between Amazon Web Services DOP-C02 and SAP-C02 certification exams?

The AWS DOP-C02 exam focuses on DevOps engineering practices, including continuous delivery and automation, while the SAP-C02 Exam, also known as the AWS Certified Solutions Architect – Professional, focuses on advanced architectural design and deployment of applications on AWS. Both certifications validate different skill sets and expertise.

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