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Exam AWS Certified Developer Associate topic 1 question 422 discussion

Exam question from Amazon's AWS Certified Developer Associate
Question #: 422
Topic #: 1
[All AWS Certified Developer Associate Questions]

A company deployed an application as a set of microservices that run on Amazon Elastic Container Service (Amazon ECS) behind an Application Load Balancer (ALB). The performance of the microservices has started to degrade for a specific set of user requests. The company needs to gain deeper insight into the request behavior that is associated with the performance degradation.

Which process will meet this requirement?

  • A. Create a Docker image that runs the AWS X-Ray daemon. Run the image alongside the microservices in Amazon ECS. Use the X-Ray console to view requests to the microservices.
  • B. Perform distributed tracing based on the ALB's built-in traffic request metrics.
  • C. Use Amazon CloudWatch to collect metrics and logs from Amazon ECS. Perform distributed tracing based on the ECS metrics and logs.
  • D. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to capture the ECS metrics and logs. Use the EventBridge console to view the requests to the microservices.
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Suggested Answer: A 🗳️
by KT_Yu at Jan. 21, 2023, 1:36 a.m.
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pancman
2 years, 3 months ago
Selected Answer: A
A is correct
upvoted 1 times
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JagpreetLM10
2 years, 3 months ago
Selected Answer: A
Create a Docker image that runs the AWS X-Ray daemon. Run the image alongside the microservices in Amazon ECS. Use the X-Ray console to view requests to the microservices.
upvoted 2 times
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Phinx
2 years, 3 months ago
Selected Answer: A
Definitely A.
upvoted 2 times
Phinx
2 years, 3 months ago
https://docs.aws.amazon.com/xray/latest/devguide/xray-daemon-ecs.html
upvoted 4 times
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tieyua
2 years, 3 months ago
So you mean slip in a new container instance hoping some traffic in question will hit it? Strange way to troubleshoot, but can't seem having better options
upvoted 1 times
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KT_Yu
2 years, 3 months ago
Selected Answer: A
A seems the best
upvoted 4 times
...
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