Databricks-Certified-Professional-Data-Scientist Exam Topics

Databricks-Certified-Professional-Data-Scientist Exam Overview :

Exam Name:	Databricks Certified Professional Data Scientist Exam
Exam Code:	Databricks-Certified-Professional-Data-Scientist
Certifications:	Databricks Data Scientist Professional Certification
See Expected Questions:	Databricks Databricks-Certified-Professional-Data-Scientist Expected Questions in Actual Exam

Databricks-Certified-Professional-Data-Scientist Exam Objectives :

Section	Objectives
A complete understanding of the basics of machine learning	bias-variance tradeoff in-sample vs. out-of sample data categories of machine learning applied statistics concepts
A intermediate understanding of the steps in the machine learning lifecycle	data preparation feature engineering model training, selection, and production interpreting models
A complete understanding of basic machine learning algorithms and techniques	linear, logistic, and regularized regression tree-based models like decision trees, random forest and gradient boosted trees unsupervised techniniques like K-means and PCA specific algorithms like ALS for recommendation and isolation forests for outlier detection
A complete understanding of the basics of machine learning model management	logging and model organization with MLflow
Official Information	https://credentials.databricks.com/group/227970

Updates in the Databricks-Certified-Professional-Data-Scientist Exam Topics:

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