Session 6· 10 questions

End-of-session quiz

What you'll learn

▸Confirm you understand LangChain's unified interface, tool calling, and structured output
▸Identify any gaps before moving to the capstone projects
▸Score 8+ out of 10 to move on confidently

10 questions covering motivation, basics, tool calling, and structured output. Aim for 8+ before moving on to the capstone projects.

Motivation & basics

Knowledge Check

What is LangChain's primary value?

Code Check

How do you switch the model from OpenAI to Claude in LangChain?

Code Check

What does model.invoke() return?

Knowledge Check

When should you use model.stream() instead of model.invoke()?

Tool calling

Code Check

What does the @tool decorator use to build the tool schema?

Code Check

What does model.bind_tools([fn]) return?

Code Check

What message class do you return tool results with?

Structured output

Code Check

What does model.with_structured_output(Movie).invoke("...") return?

Code Check

When you pass a dict schema instead of a Pydantic class, what type does invoke return?

Knowledge Check

When is it better to reach for the raw provider SDK instead of LangChain?

Scored 8+ out of 10?

You are ready for the capstone projects. If you missed more than 2, revisit the matching lessons and try again — each explanation points to the right one.