You have an Azure Logic App named App1. App1 provides a response when an HTTP POST request or an HTTP GET request is received.
During peak periods, App1 is expected to receive up to 200,000 requests in a five-minute period.
You need to ensure that App1 can handle the expected load.
What should you configure?
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A. B. C. D.C
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-limits-and-config#throughput-limitsTo handle the expected load of 200,000 requests in a five-minute period, you need to scale up Azure Logic App named App1. Scaling up the Logic App will ensure that it has enough resources to handle the expected load. The configuration needed to scale up a Logic App is Workflow settings. Therefore, the correct answer is C. Workflow settings.
Workflow settings allow you to configure various properties related to the Logic App's runtime, including the number of instances and the amount of memory allocated to each instance. By increasing the number of instances, you can distribute the workload across multiple instances, ensuring that each instance is not overloaded and can handle the incoming requests.
Additionally, you can also enable autoscaling in the workflow settings, which automatically scales the Logic App instances up or down based on the incoming request volume. Autoscaling ensures that you only pay for the resources that you need and that your Logic App can handle the expected load efficiently.
Access control (IAM) and Access keys are used to manage permissions and security for your Logic App. API connections allow you to connect your Logic App to external services. However, none of these configurations directly relate to scaling up the Logic App to handle the expected load.