Azure Mastery
Exam DP-100
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Azure Mastery
Microsoft Certification DP-100
DP-100: Review the final outline. Move forward informed.
See your predicted score, follow a study plan based on your answers, and revisit topics you're starting to forget. It all runs on your device.
Review the final DP-100 outline on iPhone or iPad, preserve the Azure Machine Learning skills you learned, and compare them with current Microsoft credential options. Core study stays on-device and works offline; optional sync uses your private iCloud account. See every retired Microsoft exam and its successor on the retired exams hub.
The exam
DP-100 was the exam for Microsoft Certified: Azure Data Scientist Associate. Microsoft retired both the exam and certification on 1 June 2026, so DP-100 can no longer be scheduled. AI-300 is a current adjacent option for operationalising machine learning and generative AI solutions, but it is not a continuation of the retired credential under the same name. This page and question bank remain available for reference.
DP-100 is hands-on and code-aware. It validates that you can use the Azure Machine Learning workspace end-to-end — designing data assets and compute, exploring data with notebooks and AutoML, training models with MLflow tracking and Sweep jobs for hyperparameter tuning, deploying to managed online and batch endpoints, and now optimising language models with prompt engineering, fine-tuning, and RAG patterns. Expect scenario questions that show you a YAML pipeline spec or Python SDK snippet and ask you to predict behaviour — not just describe an algorithm.
Microsoft last updated the DP-100 skills outline on 11 April 2025, adding the "Optimize language models for AI applications" domain at 25–30%. Every question in Azure Mastery's DP-100 bank is mapped to that final outline. Read the archived official outline at learn.microsoft.com.
Skills measured · April 2025
Four domains, with weights set by Microsoft's April 2025 update. Every domain summary below is paraphrased from the official skills outline; Azure Mastery tags questions by exam objective, so you can see which domains need more practice.
The setup phase. Covers Azure Machine Learning workspace design — assets (data, environments, models), compute targets (compute instances, compute clusters, attached compute, serverless), and identity (managed identities, role assignments). Plus data assets (URI, MLTable), datastore registration (Blob, ADLS Gen2, key-based vs identity-based access), and curated vs custom environments. Around 8–15 questions per sitting.
Notebook-driven exploration in compute instances or Visual Studio Code, plus the Designer low-code surface and Automated ML for the no-code path. Covers MLflow integration for experiment tracking and metric logging, hyperparameter tuning with Sweep jobs (sampling strategies, early termination policies, primary metric), and choosing between AutoML and a manual pipeline. Around 8–15 questions.
Tied for the largest domain. Job configuration — command jobs, pipeline jobs, parallel jobs, run context, output handling. Model registration (MLflow vs custom format) and versioning. Deployment to managed online endpoints (real-time, blue/green and traffic split), batch endpoints, and Kubernetes-attached compute. Inference monitoring, data drift detection, and retraining pipelines. Around 10–18 questions.
New in the April 2025 outline, tied for the largest domain. Covers prompt engineering basics (system prompts, few-shot examples, chain-of-thought), fine-tuning workflows on Azure Machine Learning and Azure AI Foundry, retrieval-augmented generation (RAG) with embeddings and Azure AI Search, evaluating LLM outputs (groundedness, relevance, fluency, similarity), and responsible-AI considerations specific to generative AI. Around 10–18 questions.
Designed for DP-100
6-week study plan
Use these six weeks of study blocks for historical DP-100 revision. Finish by comparing the retired outline with available routes such as AI-300.
Inside the app
Azure Mastery has nine interactive formats for exam practice. The examples below show original DP-100 practice questions in Azure Mastery on iPhone and iPad. The exam simulator uses timed sessions with the published domain weights. Microsoft's live interface and question mix may differ.
What is the minimum number of training examples required for fine-tuning in Azure OpenAI Service?
An original DP-100 practice question with one correct answer. The app explains every option after you answer.
Exam-specific sampleWhich TWO of the following are required fields in a pipeline component YAML specification? Select TWO.
An original DP-100 multi-select question. Select all the correct options to earn the mark.
All-or-nothingAn original DP-100 ordering question you can answer by touch on iPhone and iPad.
Interactive itemAn original DP-100 question with a visual prompt, designed for touch on iPhone and iPad.
Tap targetAn original DP-100 case study with several questions about the same requirements and environment.
Multi-questionAnswer Coach explains why the answer is correct and, where available, why each option is right or wrong. It helps you understand a mistake and remember the distinction. Read explanations after each question or at the end of a practice test. On supported devices, optional AI can reword a note on your device after checking it against the written guidance.
App exclusiveFrequently asked
No. Microsoft retired DP-100 and the Azure Data Scientist Associate certification on 1 June 2026. The exam can no longer be scheduled.
Microsoft did not continue the retired Azure Data Scientist Associate credential under the same name. AI-300 is a current adjacent option focused on operationalising machine learning and generative AI solutions, and Microsoft lists AI-300 courseware as the successor to DP-100 courseware.
A certification earned before retirement remains on your Microsoft Learn transcript. DP-100 and its renewal assessment are retired, so the exam cannot be retaken or newly earned.
Yes, as reference material for Azure Machine Learning, training, deployment, MLflow, responsible AI, and language-model optimisation. New candidates should compare those skills with current AI-300 and other active Microsoft credentials before choosing a path.
AI-300 is Microsoft's replacement route for operationalizing machine learning and generative AI. AI-103 covers developing AI apps and agents with Python and Microsoft Foundry. Neither recreates the retired DP-100 data-scientist credential exactly, so choose based on whether your work centres on AI operations or application development.
The app is free to download and includes a free allowance of DP-100 questions so you can try every feature. The full bank of 350 DP-100 practice questions unlocks with a one-time exam-pack purchase, or you can unlock every exam in the catalogue with a subscription or a one-time lifetime upgrade.
Yes. Question practice, scoring, and the readiness prediction all run on-device, so you can study on a flight or a commute with no connection. No account is required, and your study data stays on your device with optional private iCloud sync.
Yes — timed practice sessions use original, blueprint-aligned questions, published timing guidance, and supported interactive item types. Adaptive study sessions and Focus Weak Spots then target the domains where your accuracy is lowest.
Free study guides
Where DP-100 fits
DP-100 and the Azure Data Scientist Associate certification retired on 1 June 2026. Microsoft identifies AI-300 as the replacement credential, with a changed emphasis on machine-learning and generative-AI operations.
Keep 350 final-outline DP-100 questions for reference, or use Azure Mastery's current AI-300 bank and adaptive study plan for a current machine-learning operations option.
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