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To help professionals demonstrate their proficiency in using the Databricks platform, the company has introduced the Databricks Certified Professional Data Scientist exam. Databricks Certified Professional Data Scientist Exam certification is designed to test a candidate's knowledge and skills in using the Databricks platform for data science tasks. It covers a range of topics, including data preparation, exploratory data analysis, feature engineering, and model tuning.
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Databricks Certified Professional Data Scientist (DCPDS) exam is designed to test the skills and knowledge of data scientists who use Databricks for their work. Databricks is a cloud-based platform that provides a unified analytics engine for big data processing and machine learning. The DCPDS exam is administered by Databricks, and passing it is a significant achievement for data scientists who wish to validate their expertise in using Databricks.
Reference: https://credentials.databricks.com/group/227970
| Section | Objectives |
|---|---|
| Machine Learning Fundamentals | - Supervised Learning
|
| Responsible AI and Production ML | - Model governance
|
| Model Evaluation and Optimization | - Performance evaluation
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| Machine Learning with Databricks | - MLflow and experiment tracking
|
| Data Preparation and Feature Engineering | - Data cleaning and transformation
|
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