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Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 479 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Professional SAP-C02
Question #: 479
Topic #: 1
[All AWS Certified Solutions Architect - Professional SAP-C02 Questions]

A company needs to improve the reliability of its ticketing application. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster. The company uses Amazon CloudFront to serve the application. A single ECS service of the ECS cluster is the CloudFront distribution’s origin.

The application allows only a specific number of active users to enter a ticket purchasing flow. These users are identified by an encrypted attribute in their JSON Web Token (JWT). All other users are redirected to a waiting room module until there is available capacity for purchasing.

The application is experiencing high loads. The waiting room module is working as designed, but load on the waiting room is disrupting the applications availability.
This disruption is negatively affecting the application's ticket sale transactions.

Which solution will provide the MOST reliability for ticket sale transactions during periods of high load?

  • A. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Ensure that the ticketing service uses the JWT information and appropriately forwards requests to the waiting room service.
  • B. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefulSet. Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
  • C. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function that inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service.
  • D. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubernetes. Enable mTLS authentication and service-to-service authentication for communication between the ticketing pod and the waiting room pod. Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
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Suggested Answer: C 🗳️
Community vote distribution
C (100%)
by devnv at April 13, 2024, 12:43 p.m.
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Zas1
Highly Voted 1 year ago
Selected Answer: C
CFFunctions:You can validate hashed authorization tokens, such as JSON web tokens (JWT), by inspecting authorization headers or other request metadata. https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/cloudfront-functions.html
upvoted 11 times
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874def1
Most Recent 2 weeks ago
Selected Answer: C
"A single ECS service of the ECS cluster is the CloudFront distribution’s origin." This means all requests will hammer this service. The approach will be to reduce the load on this service by splitting the service and depending on the token contents to send it to the right service...
upvoted 1 times
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0b43291
5 months, 1 week ago
Selected Answer: C
By separating the waiting room service, using separate scaling configurations, and leveraging CloudFront functions for efficient routing, Option C provides a reliable and scalable solution while minimizing architectural changes and operational overhead. The other options have the following drawbacks: Option A: While it separates the waiting room service, it still relies on the ticketing service to handle the routing logic based on JWT information, which could become a bottleneck during high loads. Option B: Migrating to Amazon EKS and using StatefulSets may not be necessary for this use case and could introduce additional complexity and operational overhead. Option D: While using Amazon EKS and App Mesh provides advanced traffic management and security features, it may be an overkill for this specific requirement and could add unnecessary complexity to the architecture.
upvoted 1 times
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liuliangzhou
7 months, 2 weeks ago
Selected Answer: C
A. No mention of finer control at the CloudFront level B. When it comes to migrating to EKS, it may bring additional complexity and cost. C. It combines the flexibility of ECS and the edge computing capability of CloudFront. D. It involves complex migration, configuration, and authentication mechanisms.
upvoted 1 times
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trungtd
10 months, 2 weeks ago
Selected Answer: C
Option A involves creating a separate service in the ECS cluster for the waiting room but relies on the ticketing service to forward requests to the waiting room service based on JWT information. This approach still puts some load and decision-making logic on the ticketing service, which can affect its performance during high load periods.
upvoted 2 times
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Win007
11 months, 1 week ago
A is correct
upvoted 1 times
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devnv
1 year ago
A is correct
upvoted 1 times
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Community vote distribution
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C (25%)
B (20%)
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