In a scenario with a very large dataset, which action best reduces rendering time for a report containing many visuals?

• A. Increase dataset refresh rate
• B. Reduce the number of visuals
• C. Increase memory on the client
• D. Use DirectQuery

Answer: (B)

When a report has many visuals, rendering time is driven by the amount of work the visuals must do. Each visual requires data queries and drawing, so more visuals mean more queries and more rendering work for the client. Reducing the number of visuals directly lowers that total workload, which typically speeds up how quickly the report renders.

Increasing the dataset refresh rate doesn’t speed up rendering; it adds more data updates and processing instead. Increasing memory on the client can help if you’re hitting memory limits, but it doesn’t tackle the core issue of having many visuals to render. Using DirectQuery shifts data retrieval to the source, which can reduce local data load but often increases latency when many visuals need separate queries, making rendering slower rather than faster.