Quiz — Session 6: The agentic loop

Program : Applied AI — Intermediate Level · Instructor: Yann Isola Format: 10 multiple choice questions (MCQ). Only one correct answer per question, unless otherwise noted. Recommended scale: 1 point per question. Correction commented at the end of the document.

Question 1

What is THE fundamental difference between a chatbot and an agent?

HAS The agent uses a more powerful model than the chatbot B The chatbot stops after a response; the agent loops and decides for itself when the task is accomplished C The agent works without a language model D The chatbot does not understand French

Question 2

What is the correct order of steps in the agentic loop?

HAS Act → perceive → observe → reflect B Think → observe → act → perceive C Perceive → think → act → observe D Observe → act → perceive → reflect

Question 3

In the agentic loop, what does tool calling correspond to?

HAS At the “perceive” stage B At the “think” stage C In the “act” stage — the tools are the agent’s hands D To a mechanism outside the loop

Question 4

The TripDesk agent needs to book a flight. What does “planning” mean?

HAS The flight schedule returned by the API (Application Programming Interface) B The decomposition, by the model, of the objective into sub-steps before acting — plan revisable along the way C The list of tools declared by the developer D The wait time between two API calls

Question 5

How does an agent “remember”, in iteration 4, the results obtained in iteration 1?

HAS Thanks to a permanent database installed with the model B He doesn't remember: each iteration starts from scratch C Model weights are updated with each iteration D Everything is kept in the conversation history (the notepad / scratchpad), reread at each iteration

Question 6

What happens to the working memory (scratchpad) of an agent at the end of its execution?

HAS It is erased: it is a memory limited to the current execution B It is automatically merged into the model weights C It remains available for all future missions, without limit D It is sent to the model editor for training

Question 7

Which of the following are typical agent safeguards? (multiple answers)

HAS A maximum number of iterations B A budget cap (API cost or time) C A human-in-the-loop checkpoint before irreversible actions D Increase the temperature of the model to make it more creative

Question 8

The tool reserver_vol returns the error “steal complete”. What is the behavior of an agent with good error recovery?

HAS Immediately retry the same call, identically, until it goes through B Stop definitively and declare the mission impossible C Ignore the error and proceed to sending the confirmation D Read the error message, adapt your strategy (e.g. choose another flight) and try again differently

Question 9

A user asks: “Translate this paragraph into Spanish. » What is the best architecture?

HAS A complete agent with loop, tools and guardrails B A simple prompt: one response is enough, everything else is over-engineering C A 6-step workflow with human validation at each step D Two agents who read each other

Question 10

Why is the quality of error messages returned by your tools directly influence the robustness of your agent?

HAS Because detailed errors are required by regulations B Because the model adapts its strategy based on what it bed : an explicit message (“complete flight”) allows you to bounce, an opaque code (“error 500”) does not C Because short messages cost more in tokens D This has no influence: only the power of the model matters