Microsoft · AB-731
Data, security, and machine learning
AB-731 · Lesson 3 of 8 · 13:20
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In this lesson
Prepare for the AB-731 exam (Microsoft Certified: AI Transformation Leader). In this lesson: the type, quality, and representativeness of data, data readiness and feedback loops, securing AI (applications, data, authentication, and answers limited to what each user may see), when machine learning beats generative AI (forecasts, churn, fraud, segments), and the machine learning lifecycle, up to MLOps. Includes three original practice questions.
Preview the topics
- An HR assistant recommends fewer candidates from one region, because past hiring data covers that region poorly. Which data factor caused this?
- A retailer wants to predict which customers will cancel their subscription next month, from two years of history. Which approach fits?
- A model went live six months ago, and its predictions are getting worse as customer behavior changes. Which lifecycle stage addresses this?