Question 970
After the team applies this response: Use KQL summarize with a validated environment or run identifier and time filter at the correct event grain. In the situation—A team groups Azure Pipelines incident events by displayed message but the source data contains different spellings for the same stage. Which evidence BEST demonstrates the response is effective?
Explanation
Correct Answer
The governing engineering principle is: Log aggregation requires correct grouping keys to avoid duplicate or omitted incidents.
Incorrect Answers
Centralized telemetry survives ephemeral infrastructure and supports cross-component investigation. The needed step here is to compare summarized failure counts with raw distinct run IDs and deployment audit records.
Deployment-aware monitoring connects production behavior changes to the release events that might explain them. The appropriate remedy is to compare summarized failure counts with raw distinct run IDs and deployment audit records.
Telemetry design should balance useful coverage and queryability against retention cost and privacy obligations. Instead, the response must compare summarized failure counts with raw distinct run IDs and deployment audit records.






Designing and Implementing Microsoft DevOps Solutions (AZ-400) Practice Tests