An ASP.NET application instrumented with the Application Insights SDK sends a large burst of telemetry, causing ingestion errors and dropped events. You must reduce telemetry volume and costs while keeping statistically valid telemetry and preserving client-server correlation. What action should you take?

Disabling adaptive sampling and enabling fixed-rate sampling is the correct approach to reduce telemetry volume while maintaining statistical validity and correlation. Adaptive sampling dynamically adjusts the sampling rate based on telemetry volume, which can lead to unpredictable data loss during bursts. Fixed-rate sampling, however, samples a consistent percentage of telemetry, ensuring a statistically representative dataset and preserving client-server correlation through its sampling algorithm. Setting a daily cap on the Log Analytics workspace or modifying its pricing tier addresses cost but not the underlying issue of excessive telemetry volume and dropped events, nor does it guarantee statistically valid data. Updating application code to reduce DiagnosticSource events might help, but it's a more involved development task and doesn't offer the immediate and configurable volume control of sampling.