Module 6 Quiz: Teaching and Leading AI-Augmented Teams

Six questions. Click an option to check it.

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Question 1

In the ten-minute teaching structure, what comes first?

1. The name of the concept and its definition
2. A problem the audience recognises
3. The worked example
4. The failure mode

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Question 2

Why describe the naive approach and why it fails before explaining the concept?

1. To fill time
2. It validates the audience's first instinct and creates the gap the concept fills
3. To show that the speaker knows more than the audience
4. Because the concept cannot be explained otherwise

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Question 3

Which artefact marks the end of the Standardise phase?

1. A memo from the engineering manager
2. A tool licence agreement
3. A rules file, review norms, policy and spec template committed to the repository and enforced by configuration
4. A metrics dashboard

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Question 4

Which metric is the most important guard when adopting AI assistance?

1. Suggestion acceptance rate
2. Lines of code generated
3. Change failure rate
4. Hours saved, self-reported

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Question 5

Why should acceptance rate not be reported as a success metric?

1. It is too hard to measure
2. It measures how often people press Tab, not whether what they accepted was good
3. Vendors do not provide it
4. It only applies to chat mode

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Question 6

A colleague says "AI will make our engineers worse." What is the honest answer?

1. "No, it will not"
2. "It can, if they stop reading what they merge - which is why the workflow puts spec, tests and verification first, and why we track review findings"
3. "The vendor says it improves productivity by 55 %"
4. "We have no choice"