DATABRICKS-MLA Question 60

Community Discussion

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• Chose A0

  - Correct answer : A — Linear regression, because it fits a continuous target with a linear relationship to the predictors and produces coefficients that directly quantify each feature's effect on the outcome. A . This is correct because linear regression is designed for continuous targets with linear predictor relationships, and its fitted coefficients have a direct, interpretable meaning: the expected change in the target per unit change in a feature. B . This is incorrect because logistic regression models the probability of a categorical (typically binary) outcome, not a continuous target like monthly revenue, so its coefficients describe log-odds rather than a direct revenue effect. C . This is incorrect because a random forest is an ensemble of decision trees without a single coefficient per feature; feature importance ranks relative influence but cannot be quoted as a per-unit revenue change the way a linear coefficient can. D . This is incorrect because k-means is an unsupervised clustering technique that groups observations by similarity and does not model or predict a target variable like revenue at all.