Answer is correct. User can use metric telemetry to get different application metrics like: requestsPerSecond, requestsInQueue, and use these values to know when to scale
https://docs.microsoft.com/en-us/azure/azure-monitor/app/data-model-metric-telemetry
Application Insights provides three additional data types for custom telemetry:
- Trace: used either directly, or through an adapter to implement diagnostics logging using an instrumentation framework that is familiar to you, such as Log4Net or System.Diagnostics.
- Event: typically used to capture user interaction with your service, to analyze usage patterns.
- Metric: used to report periodic scalar measurements.
Scenario:
Policy service must use Application Insights to automatically scale with the number of policy actions that it is performing.
So, it is D.
"Policy service" is a web app that needs to scale automatically depending on the usage
I agree metrics will provide you the information (so answer D is best), but that is only part of the solution. What about the rest ? How is it scaled and how is it scaled automatically?
I'm missing the words "Monitor-respond-autoscale-rules"
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