Exam AWS Certified Developer - Associate DVA-C02 topic 1 question 138 discussion

AD A. You can only use X-ray with Fargate as a side car because there is not EC2 image. D. https://github.com/aws-samples/aws-xray-fargate

AD- The X-Ray SDK is used to enable the application code to send trace data. By integrating the SDK, the application will automatically collect traces of the requests and responses, helping you understand where errors occur within the microservices.

A. Deploy AWS X-Ray as a sidecar container to the microservices. Update the task role policy to allow access to the X-Ray API. D. Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon.

AD is the correct answer.

ChatGPT：AE

CE C. Instrument the application by using the AWS X-Ray SDK. Update the application to use the PutXrayTrace API call to communicate with the X-Ray API. This step involves instrumenting the application code using the AWS X-Ray SDK to generate trace data and communicate it to the X-Ray service for analysis. E. Instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch:PullLogs action.

AC Fargate cannot have daemon. This rules out B and C. D is distractor.

CHatGpt: AD

DE Option A is incorrect because deploying AWS X-Ray as a sidecar container to the microservices is not the common practice for Fargate deployments. Fargate tasks usually run as a single container, and the application is instrumented to communicate with the X-Ray daemon. Option B is not applicable because deploying AWS X-Ray as a daemonset is a concept related to Kubernetes, not AWS Fargate. Option C is incorrect because using the AWS X-Ray SDK involves instrumenting the application, but the suggested approach is to communicate with the X-Ray daemon rather than directly calling the X-Ray API.

Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon

D. Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon. E. Instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch:PullLogs action.

AD is correct. A - X-Ray container as a "Side car" in ECS/Fargate cluster D - Instrument the application using the AWS X-Ray SDK to collect telemetry data.

D and E Option D: Instrumenting the application using the AWS X-Ray SDK is essential for collecting traces and telemetry data. The X-Ray SDK helps you identify bottlenecks, errors, and other issues within your microservices. Communicating with the X-Ray daemon allows your microservices to send trace data to X-Ray for analysis and visualization. This requires minimal configuration and is efficient for capturing and analyzing traces. Option E: Instrumenting the ECS task to send the application's standard output (stdout) and standard error (stderr) logs to Amazon CloudWatch Logs provides visibility into the application's behavior, errors, and issues. Updating the task role policy to allow the cloudwatch:PullLogs action ensures that the ECS task has the necessary permissions to access and send logs to CloudWatch Logs.

Answer is CE To diagnose and fix errors in an application deployed on Amazon ECS with AWS Fargate using AWS X-Ray, you should take the following steps: C. Instrument the application by using the AWS X-Ray SDK. Update the application to use the PutXrayTrace API call to communicate with the X-Ray API. Instrumenting the application using the AWS X-Ray SDK allows you to capture traces and data about requests as they flow through your application's components. E. Instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch:PullLogs action. This step will help you capture logs from your microservices, which can provide additional insights into the errors and issues occurring within the application.