The Databricks Certified Machine Learning Professional certification exam assesses an individual’s ability to use Databricks Machine Learning and its capabilities to perform advanced machine learning in production tasks. This includes the ability to track, version, and manage machine learning experiments and manage the machine learning model lifecycle. In addition, the certification exam assesses the ability to implement strategies for deploying machine learning models. Finally, test-takers will also be assessed on their ability to build monitoring solutions to detect data drift. Individuals who pass this certification exam can be expected to perform advanced machine learning engineering tasks using Databricks Machine Learning.

Assignments

Untitled


Exam Coverage

  1. Experimentation - 30%
  2. Model Lifecycle Management - 30%
  3. Model Deployment - 25%
  4. Solution and Data Monitoring - 15%

Notes

Data Management

Experiment Tracking

Preprocessing Logic

Model Management

Batch Deployment

Streaming Deployment

Real-time Deployment


Machine Learning in Production (V2) Notes

Machine Learning at Scale