Step 1: Reviewing the Exam Topics
The best way to start the preparation process is to visit the official website of the certification exam. The official site is the most reliable source for the right information regarding the test. It is recommended that you download a detailed list of the exam objectives from the webpage and thoroughly study it before attempting the actual test.
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Conclusion
Data science is a lucrative career option and you can explore it without any hassle if you’ve managed to taste success in the Microsoft DP-100 exam, which is known to create a skilled workforce of Azure data scientists. However, a great outcome in such a test will only come if the aspirant is referring to the updated and recent study resources like the official courses provided by the exam vendor itself.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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Microsoft DP-100 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Train machine learning models | - Tune hyperparameters and evaluate models - Train models using Azure Machine Learning |
| Explore and analyze data | - Ingest and prepare data for modeling - Perform exploratory data analysis |
| Deploy and consume models | - Monitor deployed models and endpoints - Deploy models to endpoints |
| Optimize and manage models | - Track experiments and manage model lifecycle - Improve model performance |
| Design and prepare a machine learning solution | - Plan and configure Azure Machine Learning workspace - Select appropriate Azure services for machine learning workloads - Manage compute and data assets |
