Which action is recommended to reduce hourly reports?

Which action is recommended to reduce hourly reports?

• A. Limit the reports that run hourly
• B. Increase the reports that run hourly
• C. Run all reports hourly
• D. Schedule all reports hourly

Answer: (A)

Limiting reports that run on an hourly cadence directly reduces the workload on the analytics system. When many reports are scheduled to run every hour, the platform must perform data extraction, calculations, and data delivery repeatedly, which consumes CPU, memory, and API resources. This can slow down queries, delay data, or impact other users and processes. By keeping only the most essential reports on an hourly schedule, you minimize this ongoing processing, improve overall performance, and still meet the needs of the critical metrics. Increasing the number of hourly reports, running all reports hourly, or scheduling all reports hourly would maintain or raise the amount of hourly processing, so they don’t help reduce the load. The practical approach is to move less-critical reports to less frequent schedules (daily or on-demand) and reserve hourly runs for the dashboards and metrics that truly require near‑real‑time data.

Limiting reports that run on an hourly cadence directly reduces the workload on the analytics system. When many reports are scheduled to run every hour, the platform must perform data extraction, calculations, and data delivery repeatedly, which consumes CPU, memory, and API resources. This can slow down queries, delay data, or impact other users and processes. By keeping only the most essential reports on an hourly schedule, you minimize this ongoing processing, improve overall performance, and still meet the needs of the critical metrics.

Increasing the number of hourly reports, running all reports hourly, or scheduling all reports hourly would maintain or raise the amount of hourly processing, so they don’t help reduce the load. The practical approach is to move less-critical reports to less frequent schedules (daily or on-demand) and reserve hourly runs for the dashboards and metrics that truly require near‑real‑time data.