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Free LangGraph course

LangGraph for Agentic Workflows

Module 01 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. What problem does a graph solve that a single agent loop does not?

2. A 'while the model decides what to do next' loop is hard to operate mainly because…

3. When is a graph overkill?

4. 'Agentic' should be understood as…

5. The main operational risk that grows with autonomy is…

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Answer Key and Explanations

Check these only after attempting every question.

1. B - It makes control flow explicit and inspectable instead of hidden inside model reasoning

The value is visibility. When routing lives in a graph you can see, test, and constrain it; when it lives in a prompt you cannot.

2. B - Its behaviour is non-deterministic and hard to reproduce, test, or bound

You cannot write a reliable test for a path that is re-invented on every run.

3. B - When the task is a single prompt with one output and no branching or actions

Orchestration has a real cost in complexity. Reach for it when branching, actions, or recovery genuinely exist.

4. B - A spectrum of autonomy - from suggesting, to acting with approval, to acting alone

Autonomy is a design choice you set per step, not a property the model has or lacks.

5. B - The system can take consequential actions before a human can intervene

A wrong answer misleads; a wrong action changes the world. Controls must scale with what the workflow can do.

Practical Check

Apply this module to your own work: complete the module activity for *Why Graph Orchestration Exists*, 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.