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Check yourself 01-n8n-automation: Quiz

Retrieval practice. Target >=80%.

Class 14: n8n homelab automation
Class 14 visual reference. Use it as the map, then prove it in the reading, lesson, and lab.

Overview

Module: Module 5: Workflow Automation (n8n)
Activity type: Quiz / retrieval practice
Target: ≥80% before topic mastery unlock
Objective: Given a lab-only Docker network, the learner can run n8n, build an RSS digest workflow explaining item cardinality, and require human approval before any mutating Keep Agent / SSH action.

Instruction

Instructions

Close the reading. Write answers from memory. Then self-score.

Learn

Questions

Active recall: write answers without rereading first. Target ≥80% before the gate.

  1. What is an n8n item, and why does item count matter for Discord nodes?
  2. What is the difference between an LLM summarize node and an AI Agent with tools?
  3. Why pin data during builds that call paid models?
  4. What must be true before an agent may run docker stop / docker rm in this class?
  5. Where should n8n’s UI be reachable from in a Keep-style lab?
  6. How do you keep a healthy schedule from spamming chat every 15 minutes?
  7. In the orchestrator pattern, what does n8n own vs what the AI CLI owns?
  8. Why generate a session UUID before the first headless AI CLI call?
  9. What should you test before claude -p "..." if SSH hostname works but the CLI fails?
Learn

After scoring

  • Missed items → return to Reading weak sections → redo Feynman Retry → reattempt missed questions.
  • Passing score unlocks marking this topic complete on the module hub (still need lab gate + homework).
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