Microsoft Azure Developer Associate AZ-204 Practice Question
Your team instruments an ASP.NET Core web API with Application Insights and enables the built-in Smart Detection - Performance Anomaly rule without changing any of its default parameters. Which of the following accurately summarizes how this rule evaluates telemetry and raises alerts?
It looks at the 95th-percentile response time every five minutes and fires a separate alert for each operation that exceeds a static threshold you configure in the portal.
It monitors only dependency call duration and therefore never fires for slow HTTP endpoints unless you emit a custom metric.
It analyzes the average and 90th-percentile response time for each operation once per day, compares the data with at least eight days of history, and raises one alert that groups all operations whose performance deviates significantly.
It measures the median response time every hour, uses the last 14 days as its baseline, and sends a grouped alert when performance drifts.
By default, the Performance Anomaly Smart Detection rule runs a daily analysis that looks at both the average and the 90th-percentile server response time for each operation. It compares the most recent full day of telemetry with patterns learned from a minimum of eight prior days of data. When the deviation is statistically significant, Application Insights raises a single alert that can contain all affected operations. The rule is managed; you cannot adjust the learning window or set static thresholds-you can only enable or disable the rule and configure the action group.
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Microsoft Azure Developer Associate AZ-204
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