AI-Enhanced Change Management & Stakeholder Communication
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Chapter 6 Knowledge Check
Test your understanding of the key concepts from this chapter
Question 1: A product manager is tasked with developing a new feature that predicts customer churn. What is the MOST critical first step in the machine learning development process for this feature?
Question 2: Your team wants to create a recommendation engine to suggest articles to users on a news platform. This involves analyzing a user's past reading history to find similar articles. Which type of machine learning approach is MOST suitable for this task?
Question 3: When evaluating a machine learning model that identifies spam emails, the product team is concerned about incorrectly flagging important emails as spam (false positives). Which evaluation metric should the team prioritize optimizing to minimize this specific issue?
Question 4: A product manager is considering whether to build a custom sentiment analysis model or use a third-party API. When would using a third-party API be the more strategic choice?
Question 5: What is the concept of 'data drift' in the context of a deployed machine learning model, and why is it a concern for product managers?