117-300 · Question #246
When performing a capacity planning exercise, when would taking measurements be most approriate?
The correct answer is A. During successful operation. See the full explanation below for the reasoning.
Question
Options
- ADuring successful operation.
- BDuring an overload or an episode.
- CAfter an overload or an episode.
- DAfter replacing problematic hardware.
How the community answered
(16 responses)- A75% (12)
- B6% (1)
- C6% (1)
- D13% (2)
Community Discussion
6
Devraj B.May 21, 2026The answer is A, during successful operation. Capacity planning depends on a clean baseline that reflects what your system looks like under normal, representative load, because measurements taken during an overload capture the symptoms of a problem rather than the steady-state behavior you are actually trying to scale. This maps to LPI 117-300 objective 200.1 on measuring and analyzing system resources, which carries a weight of 6 and expects you to know that valid trending data comes from periods when the system is performing correctly, not from exception states.
Imani T.May 10, 2026Capacity planning baselines are only useful if they reflect what normal actually looks like, so measuring during a problem or right after you swapped hardware is going to give you noise, not a baseline. Genuine question though, if your system never really has a clean "normal" period and is always under some kind of variable load, how do you decide what window counts as stable enough to measure?
Toby R.May 17, 2026I initially went with C thinking you would want clean data after things settled down, but then I remembered the whole point of capacity planning is to model normal steady-state load, so measuring during successful operation gives you the baseline you actually need to project growth against.
Imani T.May 18, 2026Solid reasoning, though worth flagging that if your "successful operation" window happens to coincide with off-peak traffic you can end up with a baseline that undersells your actual steady-state load by a pretty wide margin.
Mateus R.May 27, 2026Taking measurements during the overload shows you exactly where the ceiling is.
Devraj B.May 29, 2026Good try, Mateus, but measuring during an overload captures degraded, distorted behavior rather than a true baseline, which is exactly what option A avoids by specifying normal operating conditions. A baseline taken under stress reflects your system choking, not its steady-state capacity, so any planning you build on that data is off from the start.