Databricks Certified Professional Data Scientist Exam Syllabus

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Before starting your Databricks Certified Professional Data Scientist exam preparation, it is recommended to review the complete Databricks Certified Professional Data Scientist Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Databricks Certified Professional Data Scientist questions. We also provide premium Databricks Certified Professional Data Scientist practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Databricks Certified Professional Data Scientist Questions

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

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