Designing and Implementing a Data Science Solution on Azure Practice Exam (DP-100)

Candidates for this exam apply scientific rigour and data exploration techniques to gain actionable insights and communicate results to stakeholders. Candidates use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives. Candidates use applications that involve natural language processing, speech, computer vision, and predictive analytics.

Who should take Microsoft Exam (DP-100) Exam?

Candidates serve as part of a multi-disciplinary team that incorporates ethical, privacy, and governance considerations into the solution. Candidates typically have a background in mathematics, statistics, and computer science.

Course Outline

The Microsoft Azure (DP-100) Exam covers the latest exam updates and topics -

• Learn to manage Azure resources for machine learning (25–30%)
  
• Understanding to run experiments and train models (20–25%)
• Ability to deploy and operationalize machine learning solutions (35–40%)
• Learn to implement responsible machine learning (5–10%)