5V0-43.21 · Question #93
An operator selects "Average Values" and "Past 30 Minutes" for statistics type and timeframe on the Analytics tab of a Virtual Service and notices the graph only provides a new data point every five…
The correct answer is D. The timeframe should be set to "Real Time" rather than "Past 30 Minutes.". Selecting "Past 30 Minutes" as the timeframe switches the display from live streaming data to historical aggregated data, which is stored at a coarser resolution (typically one point per 5 minutes) to conserve system resources. When the Virtual Service was new, it was likely…
Question
An operator selects "Average Values" and "Past 30 Minutes" for statistics type and timeframe on the Analytics tab of a Virtual Service and notices the graph only provides a new data point every five minutes. The graph had been updating more frequently when the Virtual Service was first created. What is the explanation for this behavior?
Options
- AThe Real Time Metrics option has been disabled by another operator.
- BThe GUI Refresh Interval has been increased to five minutes.
- CThe statistics type should be set to "Current Values" rather than "Average Values."
- DThe timeframe should be set to "Real Time" rather than "Past 30 Minutes."
How the community answered
(33 responses)- A3% (1)
- B6% (2)
- D91% (30)
Explanation
Selecting "Past 30 Minutes" as the timeframe switches the display from live streaming data to historical aggregated data, which is stored at a coarser resolution (typically one point per 5 minutes) to conserve system resources. When the Virtual Service was new, it was likely using the "Real Time" timeframe, which streams live data points at a much finer interval. Switching back to "Real Time" would restore the high-frequency updates the operator saw initially.
Why the distractors fail:
- A is wrong because disabling Real Time Metrics would affect data collection globally, not produce a neat 5-minute interval pattern for a specific operator's view.
- B is wrong because the GUI Refresh Interval controls how often the browser polls for updates, not the granularity of the underlying data points stored in the analytics engine.
- C is wrong because "Average Values" vs. "Current Values" determines the aggregation method (mean vs. snapshot), not the time resolution of the data - both would still render at 5-minute granularity under "Past 30 Minutes."
Memory tip: Think of it like a weather app - checking "current conditions" gives you a live reading updated every minute, but viewing the "past 30 minutes" chart shows you pre-bucketed historical data at a coarser interval. The timeframe drives the resolution, not the statistic type.
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