This will teach you to apply the Azure machine learning platform to train, evaluate and deploy data models that solve business problems, including selecting and setting up Azure development environments, performing Exploratory Data Analysis (EDA), selecting the right algorithmic approaches, defining technical success metrics and evaluating the success of your data models.
Average Salary of certified Microsoft Azure Data Scientist Associate (DP-100)
Set up an Azure Machine Learning workspace (30-35%)
Run experiments and train models (25-30%)
Optimize and manage models (20-25%)
Deploy and consume models (20-25%)
Exam details
Number of Questions: 60 (10 compulsory questions that can’t be skipped) and two case studies
Time: 180 minutes
Passing Score: 700
Exam Languages: English, Japanese, Korean, and Simplified Chinese
Exam Scheduling: Login to Microsoft Account (Click here)
How long does it take to prepare for the exam: To get well versed with the Microsoft Azure Studio, it will take around 3-4 weeks. Rest all depends upon your experience as a data scientist.
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I have a background in statistics and data science through my MBA. However, this content is more Azure specific. I primarily used the website Study Guide for Microsoft Azure DP-100: Data Scientist Associate Certification. The author easily lays out each Micros…