Free DP-100 practice test
DP-100 is the Microsoft Azure Data Scientist Associate certification exam. This page gives you the full exam breakdown, how scoring works, and free unlimited practice weighted to the official skills outline. No paywall, no attempt caps.
DP-100 exam at a glance
| Fact | Detail |
|---|---|
| Certification | Azure Data Scientist Associate (DP-100) |
| Level | Associate |
| Track | Data & AI |
| Format | About 50 questions in 100 minutes |
| Passing score | 700 out of 1000 (scaled) |
| Typical prep time | 4–6 weeks of consistent study |
| Question types | Multiple choice, drag-and-drop, case studies, and short scenarios |
Intermediate; assumes some hands-on experience with the product. Most candidates who pass spend 4–6 weeks mixing official Microsoft Learn reading with hands-on practice. The DP-100 practice test on this page mirrors the real exam's domain weights, so your score here is a good estimate of your readiness.
How the DP-100 exam is scored
Microsoft scores every certification exam on a scale of 1 to 1000, and you need 700 to pass. This is a scaled score, not a percentage: the number of questions you must answer correctly shifts slightly with each exam form so that a 700 always represents the same level of ability. There is no penalty for guessing, so answer every question even if you are unsure. Unanswered questions are always marked wrong.
Your score report groups results by the skill areas below. A fail in one area with strong scores elsewhere still fails the exam overall, so use your report to target the weakest area first before rebooking.
Skills measured on DP-100
Microsoft publishes an official skills outline that lists every DP-100 topic area and its exam weight. The practice test here draws questions from each area in proportion to these weights.
| Skill area | Exam weight | Questions in a 50-question exam | What to expect |
|---|---|---|---|
| Design and prepare a machine learning solution | ~22% | 11 of 50 | Expect planning and deployment decisions, usually tested with multi-step scenarios. |
| Explore data and run experiments | ~22% | 11 of 50 | Expect core feature knowledge and day-to-day configuration skills. |
| Train and deploy models | ~27% | 14 of 50 | Expect planning and deployment decisions, usually tested with multi-step scenarios. |
| Optimize language models for AI applications | ~27% | 14 of 50 | Expect core feature knowledge and day-to-day configuration skills. |
What the DP-100 exam covers
In plain terms, the exam checks whether you can do the job the certification describes. DP-100 covers Design and prepare a machine learning solution — about 22% of the exam; Explore data and run experiments — about 22% of the exam; Train and deploy models — about 27% of the exam; Optimize language models for AI applications — about 27% of the exam. Treat this as a study checklist: work through each area until you can explain its tasks to a colleague without notes.
How to study for DP-100
A simple four-step plan works for most candidates and fits inside 4–6 weeks:
- Read one domain at a time. Work through the official Microsoft Learn content for that domain before touching anything else. The weights above tell you where to spend the most time.
- Check yourself with untimed practice. Take a free DP-100 Readiness Check on this page. It asks questions from every domain in official proportion, so your domain-by-domain score shows exactly where you are weak.
- Drill the weak domains. Repeat short practice sets on your two weakest areas until both score comfortably above 70%.
- Finish with a timed simulation. Rehearse the real format — 50 questions in 100 minutes — so pacing holds no surprises on test day.
Repeat the cycle until every domain is green. Candidates who follow it usually reach passing level inside 4–6 weeks of part-time study.
Start your free DP-100 practice
The DP-100 practice page offers unlimited free practice weighted to this exact outline. No signup is needed to take a Readiness Check; a free account saves your history so you can watch your domain scores improve over time.
Frequently asked questions about DP-100
What topics are on the DP-100 (Azure Data Scientist Associate) exam?
The exam is weighted to Microsoft's official skills outline and covers: Design and prepare a machine learning solution, Explore data and run experiments, Train and deploy models, Optimize language models for AI applications. MS Exam Lab generates practice questions for each domain so your score reflects real readiness.
How hard is the DP-100 exam?
Intermediate; assumes some hands-on experience with the product. Most candidates study 4–6 weeks of focused, hands-on prep.
How long does it take to study for DP-100?
Plan for roughly 4–6 weeks of consistent study, mixing official Microsoft Learn material with hands-on practice on MS Exam Lab.
What is the pass score for DP-100?
Microsoft uses a scaled score of 700 out of 1000 to pass DP-100. Practice with domain-weighted questions on MS Exam Lab to find and close gaps before test day.
Is there free DP-100 practice on MS Exam Lab?
Yes. MS Exam Lab offers free, unlimited DP-100 practice weighted to the official skills outline, with no paywall and no attempt caps. Timed exam simulations are available on the low-cost Pro tier.
More Microsoft certifications to practice
- DP-600: Fabric Analytics Engineer Associate
- DP-700: Fabric Data Engineer Associate
- AI-900: Azure AI Fundamentals
- AI-102: Azure AI Engineer Associate
- DP-900: Azure Data Fundamentals
- AI-103: Azure AI Apps and Agents Developer Associate
- AB-100: Agentic AI Business Solutions Architect
- AB-731: AI Transformation Leader
Sources: compiled from Microsoft's official skills outlines (Microsoft Learn). Maintained and kept current by the MS Exam Lab team.