Q: 4
You have been receiving customer data for the past six months. However recently you notice that this
data has drastically changed due to the upcoming holiday season.
What seems to be taking place?
Options
Discussion
Option C. The question just describes the data changing, not model outputs shifting, so data drift fits best.
C , since only the incoming data has changed due to the holiday season. No mention of model accuracy or prediction issues, so not D in this case. Pretty sure about this but open to pushback.
C/D? Seen similar in exam reports, but since it's just data changing not model output, C is probably what they want here.
Its C
PMI really overdoes model drift, D tbh
Its C, saw similar phrasing in a practice exam, sudden shifts in data patterns point to data drift not model drift.
D? Wouldn’t model drift apply if the predictions are suddenly off too?
C imo, since data drift is just about the distribution of input data changing and nothing here says the model's performance dropped. Official guide and some practice sets explain the difference well. Correct me if you see it differently.
C/D? If it specified model performance got worse, then D (model drift), but here it's just data characteristics changing so C fits better. Seen this twist in a few practice sets, always gotta double check what changed.
Probably C, since the question just points out the incoming data has shifted for holiday season, nothing about predictions. Don’t think D applies unless they mention model accuracy tanking.
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