Question: Explain why a team can benefit more when several members understand how to make machine learning decisions, instead of relying on one highly skilled person.

Sample answer: A single expert can still move a project forward, but a group with shared strategy knowledge can work more smoothly because more people can judge whether errors matter, choose better data splits, and decide what to try next. That makes the team faster and less dependent on one person. Passing this knowledge around helps create a larger pool of capable teammates, so the whole group improves rather than only one specialist.

Key points:

• Contrasts a lone expert with a team that shares decision-making skill
• Shows that common strategy knowledge improves the whole group
• Connects teaching teammates to building more capable contributors
• Stays focused on the practical benefit of shared understanding

Rubric: Full credit for explaining both the individual-versus-team distinction and the way sharing knowledge spreads capability across the team; partial credit for mentioning only one of those ideas.