Databricks Certified Machine Learning Associate Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A0

  - Correct answer : A — Raising `k` to `3` widens the fences away from the quartiles, so fewer, more extreme values beyond that boundary get flagged, matching 'extreme' outliers versus the broader set at `1.5`. A . A larger multiplier pushes both fences further away from the quartiles, so fewer, more extreme points fall outside them; `k=1.5` is the common threshold for moderate outliers and `k=3` for extreme ones. B . Increasing the multiplier widens the fences rather than narrowing them, since `k*IQR` grows as `k` grows, so more values fall inside the boundary and fewer get flagged, not more. C . The fence formula continues to use `Q1`, `Q3`, and the IQR regardless of the value of `k`; changing `k` never switches the calculation to use the dataset's minimum or maximum instead. D . The multiplier `k` is multiplied directly against the IQR inside the fence formula, so changing it from `1.5` to `3` directly changes where the upper and lower bounds fall.