Expected Databricks-Certified-Professional-Data-Scientist Exam Topics, as suggested by Databricks :

• Module 1: A intermediate understanding of the steps in the machine learning lifecycle/ Model training, selection, and production A complete understanding of the basics of machine learning/ in-sample vs. out-of sample data
• Module 2: Applied statistics concepts/ bias-variance tradeoff
• Module 3: A complete understanding of basic machine learning algorithms and techniques/ Unsupervised techniniques like K-means and PCA
• Module 4: A complete understanding of the basics of machine learning model management/ Linear, logistic, and regularized regression
• Module 5: Tree-based models like decision trees, random forest and gradient boosted trees/ Categories of machine learning
• Module 6: Specific algorithms like ALS for recommendation and isolation forests for outlier detection/ Logging and model organization with MLflow