Translating a business problem into a predictive modeling question, exploratory data analysis, and feature engineering.
These are the key learning objectives for Problem Framing and Data Preparation on SOA Exam PA. Paraphrased from the public SOA syllabus — we recommend also checking the current syllabus on soa.org before your exam sitting.
Identify the business problem and framing it as a supervised learning task
Perform exploratory data analysis to identify patterns and data quality issues
Engineer features including transformations, binning, and interaction terms
Upload your ACTEX Exam PA digital edition, scanned ASM pages, TIA handouts, or your own notes. exclam.ai extracts the Problem Framing and Data Preparation sections and generates flashcards automatically.
Generate multiple-choice quizzes specifically on Problem Framing and Data Preparation. Weak questions get re-surfaced until you get them right consistently.
Because Problem Framing and Data Preparation is 15–25% of your exam, losing it during review costs you. FSRS brings it back at the optimal moment.
SOA Exam PA has 4 topic areas. Problem Framing and Data Preparation is weighted at approximately 15–25% of the exam — here is where it sits relative to the other topics.
| Topic area | Weight |
|---|---|
| → Problem Framing and Data Preparation | 15–25% |
| Generalized Linear Models | 30–40% |
| Decision Trees and Ensemble Methods | 20–30% |
| Model Validation and Business Communication | 15–25% |
Building, evaluating, and interpreting GLMs in R for common actuarial applications.
Fitting and tuning decision trees, random forests, and gradient boosting models in R.
Cross-validation, test set performance, sensitivity analysis, and communicating results to non-technical stakeholders.
Upload your ACTEX Exam PA digital edition, scanned ASM pages, TIA handouts, or your own notes. exclam.ai generates a fully guided study plan with adaptive flashcards and quizzes for this topic.