Exam Code
DP-100
Duration
100 minutes
Questions
40-60 questions
Passing Score
700/1000
Cost
$165 USD
Prerequisites
Python & ML fundamentals recommended
What You'll Need to Know
The DP-100 exam covers 4 main domains. Focus your study time based on the exam weight for each topic.
120-25%
Design & Prepare ML Solutions
Workspace setup, compute options, data management, security configuration
235-40%
Explore Data & Train Models
EDA, feature engineering, model selection, hyperparameter tuning, AutoML
320-25%
Prepare Model for Deployment
Model registration, packaging, environments, responsible AI assessment
410-15%
Deploy & Retrain Models
Online/batch endpoints, monitoring, drift detection, retraining pipelines
Preparation Resources
Everything you need to prepare for the DP-100 exam, from free assessments to comprehensive practice tests.