DatabricksCertified Machine Learning Associate
Domain 3Objective 1
Model Selection and Evaluation MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 5)
Part of the Section 3: Model Development domain, which makes up ~23% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–14 in this domain), expect 2–4 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)
22questions here
5free pages
7concepts
Questions 21–22
- 21
A fraud detection team is evaluating a model that flags suspicious transactions. The cost of a false positive (blocking a legitimate transaction) is moderate, but the cost of a false negative (allowing fraud) is very high. The team needs to select a metric that directly reflects this asymmetric cost. Which metric should they use?
Select an answer first - 22
A model predicts whether a user will click an ad. The model outputs a probability score. The team needs to choose a threshold to maximize the number of true positives while keeping the false positive rate below 10%. They have the following confusion matrix at a threshold of 0.5: TP=80, FP=20, FN=20, TN=80. What is the precision at this threshold?
Select an answer first
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