Lilly Tech Systems
Databricks Machine Learning Professional
Everything you need to pass the Databricks Machine Learning Professional certification exam. Comprehensive coverage of Feature Engineering, Model Training, Deployment, ML Pipelines, 25+ practice questions with detailed explanations, study plans, and exam-day strategies — all free.
Your Study Path
Follow these lessons in order for complete exam preparation, or jump to any domain you need to review.
1. Exam Overview
Exam format (60 questions, 120 min), domain weights, cost ($200), 4-week and 6-week study plans, registration process, and scoring.
2. Feature Engineering
Databricks Feature Store, Spark ML pipelines, data preparation, feature transformations, and practice questions with explanations.
3. Model Training & Tuning
MLflow experiment tracking, AutoML, Hyperopt for hyperparameter tuning, distributed training with Spark, and practice questions.
4. Model Deployment
Model Serving endpoints, batch inference, real-time predictions, model registry transitions, and practice questions.
5. ML Pipelines & Automation
Delta Live Tables for data pipelines, Databricks Workflows, CI/CD for ML, orchestration patterns, and practice questions.
6. Practice Exam
25 exam-style questions covering all domains with detailed explanations for each answer choice. Simulate real exam conditions.
7. Exam Tips & Review
Last-minute review sheet, exam day strategy, time management tips, frequently asked questions, and additional study resources.
What You'll Learn
By the end of this course, you will be ready to:
Pass the Databricks ML Professional Exam
Master every exam domain and confidently earn your Databricks Machine Learning Professional certification on your first attempt.
Master MLflow & Feature Store
Understand experiment tracking, model registry, model versioning, Feature Store for feature sharing, and end-to-end ML lifecycle management.
Build Production ML Pipelines
Design end-to-end ML pipelines using Delta Live Tables, Databricks Workflows, and CI/CD patterns for reliable, automated ML systems.
Apply Exam Strategies
Use proven time management, question elimination, and domain-specific strategies to maximize your score on exam day.