PDF Version DemoCertification Path
The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.
In recent years, more and more people choose to take Microsoft DP-100 certification exam. Because the exam can help you get the Microsoft certificate which is an important basis for measuring your IT skills. With the Microsoft certificate, you can get a better life.
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Step 5: Studying with Books
Books is another efficient preparation tool. There are several guides available for the Microsoft DP-100 exam but the most popular are listed below:
- Learn How to Pass DP-100: Designing and Implementing a Data Science Solution on Azure Exam: Learn at your fingertips by Rodrezil Publications
- Designing and Implementing a Data Science Solution on Azure - Exam Prep: Microsoft Azure DP-100 Certification Exam | Most Unique & Latest Questionnaires by VB Dev
- Designing and Implementing a Data Science Solution on Azure: Prepare for exam DP-100 by Stavros Koureas
- How I Passed DP-100: Designing and Implementing a Data Science Solution on Azure: Sure Shot Certification Tips by Empirical Matt Publications
- Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure 1st Edition by Pierstefano Tucci
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
Microsoft DP-100 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Explore and analyze data | - Perform exploratory data analysis - Ingest and prepare data for modeling |
| Topic 2: Train machine learning models | - Train models using Azure Machine Learning - Tune hyperparameters and evaluate models |
| Topic 3: Deploy and consume models | - Deploy models to endpoints - Monitor deployed models and endpoints |
| Topic 4: Optimize and manage models | - Track experiments and manage model lifecycle - Improve model performance |
| Topic 5: 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 |
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