CDL Question 85

Community Discussion

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

• Chose B1

  To maximize the prediction accuracy of a machine learning model for extreme weather events, the strategy must focus on capturing both the "signal" (the indicators of a storm) and the "context" (what normal weather looks like before a storm).

• Chose D2

  You need lots of positive-class examples (actual extreme events) to learn the patterns. Those are most common in at-risk cities, so focusing data collection there maximizes the useful signal.

• Chose A1

  The goal is not just coverage, but signal-rich data-events that help the model recognize patterns that precede extreme weather