fabric-data-agent-perf-remediate

To troubleshoot slow Fabric Data Agent response times and query timeouts, execute diagnostic decision trees to identify bottlenecks in KQL/SQL/DAX query generation, Spark session startup delays, or data source misconfigurations, then apply resource profile tuning and VOrder optimization to remediate performance.

Fabric Data Agent HTTP 430 capacity throttling errors occur when capacity SKU limits are exceeded, requiring diagnostic workflows to profile compute usage and apply autotune settings alongside resource profile tuning to remediate throttling and optimize Spark compute allocation.

Fix Data Agent example query validation failures by executing diagnostic checklists that inspect data source connection configurations and validate example queries against lakehouse schemas, ensuring proper lakehouse table maintenance and data source alignment to resolve accuracy issues.

The best way to optimize Spark compute for Fabric Data Agents is applying resource profile tuning, VOrder optimization, and autotune integration workflows, which remediate Spark session startup delays and improve overall query performance across Data Agent and Operations Agent scenarios.

Yes, you need the Az.Accounts dependency installed to authenticate and run Fabric Data Agent performance diagnostics, as the skill executes diagnostic scripts requiring Azure authentication to access Fabric capacity, lakehouse, and Spark compute resources for troubleshooting.

Yes, you can use this skill to diagnose Operations Agent playbook performance issues, as it provides dedicated troubleshooting matrices and diagnostic workflows specifically designed for Operations Agent scenarios alongside Data Agent and Spark compute performance remediation.