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Microsoft DP-100: Skills Measured
Microsoft provides you with the elaborate outline of the skills that you need to acquire before attempting the test. The specific topics of the exam along with the main subtopics are enumerated below:
- Develop Models (40%)
The skills measured within this topic include selecting an algorithmic approach; evaluating model performance; training the model; identifying data imbalances; splitting datasets, and so on.
- Define and Prepare the Development Environment (15%)
To answer the questions within this objective, the applicants should have the professional ability to accomplish such technical tasks as selecting a development environment; quantifying the business problem; setting up a development environment; etc.
- Perform Feature Engineering (15%)
Answering the questions that are drawn from this domain, the test takers should be able to perform the tasks such as performing feature selection as well as performing feature extraction.
- Prepare Data for Modeling (25%)
This subject area revolves around cleansing and transforming data; performing EDA (Exploratory Data Analysis); transforming data into usable datasets.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Microsoft Designing and Implementing a Data Science Solution on Azure Exam Certification Details:
| Sample Questions | Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions |
| Duration | 120 mins |
| Exam Code | DP-100 |
| Schedule Exam | Pearson VUE |
| Books / Training | DP-100T01-A: Designing and Implementing a Data Science Solution on Azure |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
| Passing Score | 700 / 1000 |
| Exam Name | Microsoft Certified - Azure Data Scientist Associate |


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