Skip to course content
Free CrewAI course

CrewAI for Multi-Agent Automation

Module 07 Knowledge Check

5 questions. Pass mark 4 out of 5. Answer every question before checking the answer key below, then retry after reading the feedback.

1. When a crew produces a poor result, the first thing to inspect is…

2. Per-agent token and time accounting reveals…

3. Logging tool calls with their arguments matters because…

4. Run inspection data typically contains…

5. The clearest early warning of a looping crew is…

---

Answer Key and Explanations

Check these only after attempting every question.

1. B - Each task's individual output, to find where quality first dropped

In a chain, the visible failure is usually downstream of the actual one.

2. B - Which role is driving cost and latency, so optimisation is targeted

Without attribution, optimisation is guesswork.

3. B - Wrong arguments are a common failure that is invisible in the final output

A tool called correctly with wrong inputs produces confidently wrong downstream work.

4. B - Business content and possibly client data, so it needs access control

Automation logs quietly accumulate the very material the automation handles.

5. B - Repeated near-identical task outputs or tool calls

Repetition without progress is the signature of a non-converging delegation cycle.

Practical Check

Apply this module to your own work: complete the module activity for *Observability and Run Inspection*, then write one sentence naming what your result shows and one naming what it does not.

Strong Answer Pattern

A strong answer names the task, the evidence used, the check performed, and the remaining limitation. It avoids "proved", "guaranteed", or "always" unless the evidence genuinely supports it.