Azure DP-100
Exam DP-100: Designing and Implementing a Data Science Solution on Azure
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ExploreAbout this exam
Exam DP-100 leads to the Microsoft Certified: Azure Data Scientist Associate credential, an intermediate-level certification for data scientists who apply data science and machine learning to run workloads on Azure. Microsoft's certification page carries a warning that the certification and its renewal assessment are retired, so candidates should check Microsoft Learn for current credential options before scheduling.
The role covers designing a data science working environment, exploring data, training models, implementing pipelines, running jobs for production, and managing, deploying, and monitoring scalable machine learning solutions. Candidates should also be able to use language models to build AI applications. Microsoft lists four assessed areas: designing and preparing a machine learning solution; exploring data and running experiments; training and deploying models; and optimizing language models for AI applications.
Preparation assumes knowledge of Azure Machine Learning, MLflow, and Azure AI services including Azure AI Search and Azure AI Foundry (now Microsoft Foundry; Microsoft says it is updating exam materials). Microsoft's page states no training is available for this exam, but offers a practice assessment, an exam sandbox, and prep videos. This independent guide is not affiliated with Microsoft.
What you'll study
About Azure DP-100 preparation
Is the DP-100 certification still active?
Microsoft's page includes a warning that "This certification and the renewal assessment are retired." The exam page still lists the assessed domains, exam policy, and preparation resources, but you should verify current certification options on Microsoft Learn before committing time or money. This guide is independent and not affiliated with Microsoft.
What does the exam assess?
Microsoft lists four areas: design and prepare a machine learning solution; explore data and run experiments; train and deploy models; and optimize language models for AI applications. The role also expects work with Azure Machine Learning, MLflow, Azure AI Search, and Azure AI Foundry.
What is the exam format?
Microsoft states the exam is proctored and that you may have interactive components to complete. The page does not specify item counts or all question types, so do not rely on a fixed format. The exam sandbox lets you experience the interface and question interactions before test day.
How many questions, how long, and what score do I need?
Microsoft's DP-100 page does not publish question count, duration, or passing score. It directs candidates to the separate exam duration and exam experience page for duration and experience details. Because these values are not stated here, treat any specific number you see elsewhere as unverified unless Microsoft confirms it.
How much does the exam cost?
The Microsoft source page used for this guide does not list an exam fee. Pricing can vary by country, region, and whether you take it at a test center or online, so check the official exam page or your Microsoft Learn scheduling flow for the current amount before you register.
What is the retake policy?
If you fail, you can retake the exam 24 hours after the first attempt. For later retakes, Microsoft says the amount of time varies. Check the full exam retake policy on Microsoft Learn before rescheduling, since the page gives no further timing details.
What languages is it offered in?
The page lists English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), and Italian. Language availability can change, so confirm the language when you schedule.
How difficult is it?
Microsoft rates the certification intermediate. Candidates should have subject matter expertise in applying data science and machine learning on Azure, plus knowledge of optimizing language models for AI applications. Practical familiarity with Azure Machine Learning, MLflow, and Azure AI services matters more than memorizing definitions.
How should I prepare, and is training available?
Microsoft states no training is available for this exam. It offers a practice assessment, exam sandbox, and DP-100 prep videos. Build hands-on experience with Azure Machine Learning and MLflow, then use the practice assessment to find gaps; the sandbox reduces interface surprises.
What study order and pitfalls should I consider?
Work through the four assessed areas in order: environment and data preparation, exploration and experiments, training and deployment, then language model optimization. The main pitfall is narrowing study to model training only; the exam also expects Azure Machine Learning, MLflow, Azure AI Search, and Foundry familiarity. Use the practice assessment to expose gaps.