To build a bandwidth utilization report for office hours in the previous month, what data and filtering steps are required?

To build a bandwidth utilization report for office hours in the previous month, what data and filtering steps are required?

• A. Pull last month's usage data and filter out non-business hours
• B. Pull last month's data and include all hours
• C. Pull data from the current month and filter for business hours
• D. Use yearly data without filtering

Answer: (A)

The key idea is to match both the time window and the window of hours you care about. For a report on office hours in the previous month, you need data that covers the entire previous calendar month, and you must filter that data to only include the hours defined as office or business hours. Pulling last month’s usage data ensures you capture the full month you’re analyzing, not the current month or yearly totals. Applying a business-hours filter removes off-hours activity (nighttime, weekends, etc.) that would skew the picture of typical daytime usage. Choosing current-month data would miss days from the previous month, and using yearly data without filtering would mix many months and all hours, making it impossible to isolate the office-hour activity for the specific previous month.

The key idea is to match both the time window and the window of hours you care about. For a report on office hours in the previous month, you need data that covers the entire previous calendar month, and you must filter that data to only include the hours defined as office or business hours. Pulling last month’s usage data ensures you capture the full month you’re analyzing, not the current month or yearly totals. Applying a business-hours filter removes off-hours activity (nighttime, weekends, etc.) that would skew the picture of typical daytime usage.

Choosing current-month data would miss days from the previous month, and using yearly data without filtering would mix many months and all hours, making it impossible to isolate the office-hour activity for the specific previous month.