Title: Quiz 13 — Human-in-the-Loop Workflows and Emerging Standards (A2A, [AGENTS.md](http://AGENTS.md))
Course: AIINFRA 300: Agentic AI & the Model Context Protocol (MCP) > Section: Week 13 — Human-in-the-Loop Workflows and Emerging Standards (A2A, [AGENTS.md](http://AGENTS.md))

Q: A task in A2A's INPUT_REQUIRED state should be considered broken or stuck.
- True
- False
A: False

Q: Which of the following is a terminal state in the A2A task lifecycle?
- INPUT_REQUIRED
- AUTH_REQUIRED
- COMPLETED
- PENDING_REVIEW
A: COMPLETED

Q: In LangGraph, what function call pauses a graph and returns a payload to the calling application?
Feedback: Sample/expected answer: `interrupt()`

Q: What object do you pass back into a paused LangGraph graph to resume execution with a human's decision?
Feedback: Sample/expected answer: `Command`**** (e.g., ****`Command(resume=...)`****)

Q: Where does an A2A-compliant agent publish its Agent Card by convention?
- In its [README.md](http://README.md) file
- At `/.well-known/agent-card.json`
- In an environment variable
- Inside the MCP server manifest
A: At `/.well-known/agent-card.json`

Q: MCP and A2A are competing standards designed to solve the same problem.
- True
- False
A: False

Q: When multiple AGENTS.md files exist in a monorepo, which one does an agent tool use?
- The one at the repository root, always
- The nearest one up the directory tree from where the agent is working
- All of them are merged with equal priority
- The most recently modified file
A: The nearest one up the directory tree from where the agent is working

Q: Why is "have a human approve every single agent action" considered bad practice despite seeming safest?
- It's technically impossible to implement
- It violates the A2A specification
- It tanks throughput and induces automation complacency, causing reviewers to rubber-stamp
- It requires paid infrastructure
A: It tanks throughput and induces automation complacency, causing reviewers to rubber-stamp