DP-100 - Microsoft - Designing and Implementing a Data Science Solution on Azure
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Last Update: September 15, 2025
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Designing and Implementing a Data Science Solution on Azure FAQ's
Introduction of Microsoft DP-100 Exam!
The Microsoft DP-100 exam evaluates a candidate's skills in designing and implementing data science solutions on the Azure platform. It covers various aspects of data science workflows, including data preparation, model training, and deployment.
What is the Duration of Microsoft DP-100 Exam?
The Microsoft DP-100 exam, also known as 'Designing and Implementing a Data Science Solution on Azure,' is designed to measure a candidate's ability to apply data science and machine learning techniques using Azure services.
What are the Number of Questions Asked in Microsoft DP-100 Exam?
The number of questions in the Microsoft DP-100 exam typically ranges from 40 to 60.
What is the Passing Score for Microsoft DP-100 Exam?
The passing score for the Microsoft DP-100 exam is 700 out of 1000.
What is the Competency Level required for Microsoft DP-100 Exam?
The competency level required for the Microsoft DP-100 exam is intermediate to advanced, focusing on data science and machine learning concepts and their implementation on Azure.
What is the Question Format of Microsoft DP-100 Exam?
The question format of the Microsoft DP-100 exam includes multiple-choice, drag-and-drop, and case study-based questions.
How Can You Take Microsoft DP-100 Exam?
You can take the Microsoft DP-100 exam online from the comfort of your home or office, or at a designated test center.
What Language Microsoft DP-100 Exam is Offered?
The Microsoft DP-100 exam is offered in multiple languages, including English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), and Italian.
What is the Cost of Microsoft DP-100 Exam?
The cost of the Microsoft DP-100 exam is $165 USD, though prices may vary based on the country and currency.
What is the Target Audience of Microsoft DP-100 Exam?
The target audience for the Microsoft DP-100 exam includes data scientists, data engineers, and machine learning engineers who design and implement data science solutions on Azure.
What is the Average Salary of Microsoft DP-100 Certified in the Market?
The average salary of a Microsoft DP-100 certified professional varies widely depending on the region and experience but typically ranges from $90,000 to $130,000 per year.
Who are the Testing Providers of Microsoft DP-100 Exam?
The testing providers for the Microsoft DP-100 exam are Pearson VUE and Certiport.
What is the Recommended Experience for Microsoft DP-100 Exam?
The recommended experience for the Microsoft DP-100 exam includes proficiency in Python and knowledge of data science and machine learning principles, as well as experience with Azure services.
What are the Prerequisites of Microsoft DP-100 Exam?
There are no formal prerequisites for the Microsoft DP-100 exam, but it is recommended that candidates have experience with data science and Azure services.
What is the Expected Retirement Date of Microsoft DP-100 Exam?
There is no specific retirement date announced for the Microsoft DP-100 exam as of now. Microsoft typically provides a notice period before retiring exams.
What is the Difficulty Level of Microsoft DP-100 Exam?
The roadmap for the Microsoft DP-100 exam involves achieving the Microsoft Certified: Azure Data Scientist Associate certification. This is part of the broader Azure certification pathway.
What is the Roadmap / Track of Microsoft DP-100 Exam?
The Microsoft DP-100 exam covers topics such as setting up an Azure Machine Learning workspace, running experiments and training models, optimizing and managing models, and deploying and consuming models.
What are the Topics Microsoft DP-100 Exam Covers?
Sample questions for the Microsoft DP-100 exam can be found on the official Microsoft certification page and various online forums and study guides.
What are the Sample Questions of Microsoft DP-100 Exam?
The difficulty level of the Microsoft DP-100 exam is considered to be moderate to challenging, requiring a good understanding of data science concepts and practical experience with Azure services.