Pass Databricks Machine Learning Professional Exam: 3 High Quality Practice Tests with Detailed Explanations : 2026
Sub Category
- IT Certifications
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Objectives
- Build and evaluate Spark ML pipelines for batch, streaming, and production inference use cases
- Apply distributed training and hyperparameter tuning using Spark, Ray, and Optuna with MLflow
- Implement MLOps best practices including testing, monitoring, drift detection, and automated retraining
- Deploy and manage models using Databricks Model Serving and custom MLflow deployment workflows
- Use advanced Feature Store concepts for real-time, point-in-time correct feature engineering
Pre Requisites
- Basic understanding of machine learning workflows and model evaluation concepts
- Familiarity with Databricks notebooks, clusters, and Lakehouse fundamentals
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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