AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
Application Insights ingestion cost is rising because a high-traffic app emits large telemetry volume. The team needs statistically useful telemetry while reducing ingestion. What should be configured?
⚠ Common exam trap
Many candidates confuse sampling with other cost-reduction methods like scaling up or disabling telemetry, not realizing that adaptive sampling is the only option that balances cost reduction with statistical validity.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Adaptive sampling
Adaptive sampling in Application Insights automatically reduces the volume of telemetry data sent from high-traffic apps by intelligently selecting a representative subset of events. This preserves statistical utility for analysis while significantly lowering ingestion costs, making it the ideal solution for the described scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Move the app to a larger App Service plan
Why it's wrong here
Scaling compute does not reduce telemetry ingestion.
- ✓
Adaptive sampling
Why this is correct
Adaptive sampling reduces telemetry volume while preserving representative diagnostic data.
- ✗
Disable all exception telemetry
Why it's wrong here
Disabling important telemetry weakens troubleshooting.
- ✗
Increase log verbosity to debug
Why it's wrong here
Debug verbosity increases data volume.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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