A sales-performance dashboard in your BI platform used to refresh in under 10 seconds. After you added two complex DAX measures last week, stakeholders now report that the same dashboard takes more than 90 seconds to load, while other reports that use the identical dataset still render quickly. No changes have been made to the data volume, server capacity or refresh schedule. According to CompTIA report-validation techniques, which action should you take first to isolate the root cause of the slow refresh?
Re-apply the corporate color palette to every visual to minimize render overhead.
Analyze the recently added calculation logic for inefficiencies or unnecessary row-level operations.
Apply a page-level filter to reduce the number of records returned to visuals.
Configure monitoring alerts to email you if the dataset refresh fails.
The symptom began immediately after new calculations were introduced, and only this report-not the shared dataset-shows degraded performance. Reviewing the calculation logic is therefore the quickest way to confirm whether inefficient DAX expressions (for example, iterator functions or calculated columns instead of measures) are consuming excessive resources. Monitoring alerts would merely notify you of future failures without identifying today's bottleneck, page-level filters might mask the issue rather than explain it, and changing the color palette has no impact on query execution or model processing.
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