SOA ATPAAdvanced Topics in Predictive Analytics
Associateship (ASA)
Multi-hour assessment·Project-based·≈120 study hoursScore 0/0 · 6 MC
- ATPA · Q1Multiple choiceUnsupervised learning & feature engineering
Before running k-means on variables with very different scales (e.g., premium in dollars and age in years), the analyst should:
- ATPA · Q2Multiple choiceUnsupervised learning & feature engineering
In a scree plot of PCA eigenvalues, the recommended number of components to retain by the 'elbow' rule is the point where:
- ATPA · Q3Multiple choiceUnsupervised learning & feature engineering
A clustered point has average within-cluster distance and average distance to the nearest other cluster . Calculate its silhouette coefficient.
- ATPA · Q4Written answerUnsupervised learning & feature engineering
A categorical rating variable (vehicle make/model) has over 500 levels. Explain the risk of using simple target-mean encoding for this variable and propose a safer alternative.