A company has implemented an ordering system using an event-driven architecture. During initial testing, the system stopped processing orders. Further log analysis revealed that one order message in an Amazon Simple Queue Service (Amazon SQS) standard queue was causing an error on the backend and blocking all subsequentorder messages The visibility timeout of the queue is set to 30 seconds, and the backend processing timeout is set to 10 seconds. A solutions architect needs to analyze faulty order messages and ensure that the system continues to process subsequent messages.
Which step should the solutions architect take to meet these requirements?
A company provides a software as a service (SaaS) application that runs in the AWS Cloud. The application runs on Amazon EC2 instances behind a Network LoadBalancer (NLB). The instances are in an Auto Scaling group and are distributed across three Availability Zones in a single AWS Region.
The company is deploying the application into additional Regions. The company must provide static IP addresses for the application to customers so that the customers can add the IP addresses to allow lists.
The solution must automatically route customers to the Region that is geographically closest to them.
Which solution will meet these requirements?
A solutions architect needs to review the design of an Amazon EMR cluster that is using the EMR File System (EMRFS). The cluster performs tasks that are critical to business needs. The cluster is running Amazon EC2 On-Demand Instances at all times tor all task, primary, and core nodes. The EMR tasks run each morning, starting at 1 ;00 AM. and take 6 hours to finish running. The amount of time to complete the processing is not a priority because the data is not referenced until late in the day.
The solutions architect must review the architecture and suggest a solution to minimize the compute costs.
Which solution should the solutions architect recommend to meet these requirements?
Question:
A company is modernizing a legacy.NET Frameworkapplication backed by SQL Server. Requirements:
Containerize into microservices.
Control OS patches and storage.
Add load balancing.
Ensure high availability.Which solution meets all of these with minimal refactoring?