Answer: ADFPipelineRun

## Explanation When configuring diagnostic settings for Azure Data Factory to send logs to a Log Analytics workspace in **resource-specific mode**, the logs are routed to dedicated tables specific to each type of ADF operation. ### Resource-Specific Tables in Azure Data Factory: - **ADFPipelineRun**: Contains detailed information about pipeline executions, including start/end times, status, duration, and execution metrics - **ADFActivityRun**: Contains information about individual activities within pipeline runs - **ADFTriggerRun**: Contains information about trigger executions that initiate pipeline runs ### Analysis of Options: **A. ADFPipelineRun (CORRECT)** - This is the optimal choice because: - The question specifically mentions configuring "pipeline runs" to be sent to Log Analytics - ADFPipelineRun table contains comprehensive data about pipeline executions including status, duration, and execution details - This table directly corresponds to the configured diagnostic setting for pipeline runs **B. ADFTriggerRun** - Less suitable because: - This table contains information about trigger executions, not pipeline runs - While triggers initiate pipeline runs, the actual execution details are stored in ADFPipelineRun - The question focuses on analyzing "pipeline runs," not trigger events **C. ADFActivityRun** - Less suitable because: - This table contains granular details about individual activities within pipelines - While related to pipeline execution, it doesn't provide the holistic view of pipeline runs - The diagnostic setting was specifically configured for pipeline runs, not activity runs **D. AzureDiagnostics** - Incorrect because: - This table is used when diagnostic settings are configured in **Azure-Diagnostics mode**, not resource-specific mode - The question explicitly states "resource-specific destination table" configuration - In resource-specific mode, data goes to dedicated ADF tables, not the consolidated AzureDiagnostics table ### Best Practice Consideration: When working with Azure Data Factory monitoring in Log Analytics, using resource-specific tables provides better query performance, clearer schema, and more intuitive data organization compared to the consolidated AzureDiagnostics table approach.

Author: LeetQuiz Editorial Team