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Question 402 - SAP-C02 discussion

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A company needs to improve the reliability ticketing application. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster. The company uses Amazon CloudFront to servo 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 modulo is working as designed, but load on the waiting room is disrupting the application's 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 info-nation and appropriately forwards requests to the waring room service.
Answers
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 info-nation and appropriately forwards requests to the waring room service.
B.
Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the wailing room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefuISeL Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
Answers
B.
Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the wailing room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefuISeL 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
Answers
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 wailing room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubermetes. 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.
Answers
D.
Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the wailing room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubermetes. 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.
Suggested answer: C

Explanation:

Implementing a CloudFront function that inspects the JWT information and appropriately forwards requests either to the ticketing service or the waiting room service within the Amazon ECS cluster enhances reliability during high load periods. This solution segregates the load between the main application and the waiting room, ensuring that the ticketing service remains unaffected by the high load on the waiting room. Using CloudFront functions for request routing based on JWT attributes allows for efficient distribution of user traffic, thereby maintaining the application's availability and performance during peak times.

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asked 16/09/2024
Donald Wu
32 questions
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