Lilly Tech Systems
Azure Data Scientist Associate (DP-100) Exam Prep
Everything you need to pass the Microsoft DP-100 certification exam. This course covers all exam domains with detailed explanations, hands-on Azure ML examples, and practice questions modeled after the real exam. Whether you are starting from scratch or need a final review, this guide takes you from exam overview to exam day confidence.
Course Lessons
Follow the lessons in order for a complete study plan, or jump to the domain you need to review.
1. Exam Overview & Strategy
Exam format, scoring, domain weights, registration, cost, study plan timeline, and proven strategies to pass on your first attempt.
2. Design ML Solutions (30-35%)
Azure ML workspace, compute targets, data assets, pipelines, and practice questions covering the highest-weighted exam domain.
3. Explore Data & Train Models (25-30%)
Exploratory data analysis, feature engineering, AutoML, custom model training with scripts and pipelines, plus practice questions.
4. Prepare Data for Modeling
Data pipelines, Azure ML datasets, datastores, data profiling, data drift detection, and domain-specific practice questions.
5. Deploy & Optimize Models (20-25%)
Real-time and batch endpoints, MLflow model management, monitoring, optimization techniques, and practice questions.
6. Responsible AI (5-10%)
Fairness assessment, model interpretability, differential privacy, error analysis, and Responsible AI dashboard practice questions.
7. Practice Exam
Full-length 30-question practice exam simulating real DP-100 format with detailed explanations for every answer.
8. Exam Day Tips
Last-minute review sheet, time management, question strategies, FAQ accordion, and what to expect at the testing center.