An e-commerce application emits a high volume of telemetry data to Azure Application Insights. You need to reduce the cost of data ingestion while preserving statistical accuracy for performance metrics. Which sampling technique should you use?
Trap 1: Fixed-rate sampling with a 1% rate
Fixed-rate sampling may not adapt to traffic spikes or lulls, risking either high cost or insufficient data.
Trap 2: Ingestion sampling
This is not a standard sampling method in Application Insights.
Trap 3: Head-based sampling
Head-based sampling is not a built-in feature of Application Insights.
- A
Adaptive sampling
Adaptive sampling dynamically tunes the sampling rate to keep data volume manageable while preserving statistical validity.
- B
Fixed-rate sampling with a 1% rate
Why wrong: Fixed-rate sampling may not adapt to traffic spikes or lulls, risking either high cost or insufficient data.
- C
Ingestion sampling
Why wrong: This is not a standard sampling method in Application Insights.
- D
Head-based sampling
Why wrong: Head-based sampling is not a built-in feature of Application Insights.