Quiz for LangGraph and Agentic AI module#

No.

Training Unit

Lecture

Training content

Question

Level

Mark

Answer

Answer Option A

Answer Option B

Answer Option C

Answer Option D

1

Unit 1: LangGraph Foundations & State Management

Lec1

LangGraph vs LangChain

What is the primary structural difference between LangChain chains and LangGraph?

Easy

1

B

LangGraph only supports linear flows.

LangGraph supports cyclic flows and loops, while chains are typically linear.

LangGraph removes the need for LLMs.

LangChain supports state persistence, while LangGraph does not.

2

Unit 1: LangGraph Foundations & State Management

Lec1

State Management

What is the recommended pattern for State management in LangGraph?

Easy

1

A

Messages-centric pattern (using messages list).

Context-only pattern (using distinct string fields).

Stateless execution.

Database-only pattern.

3

Unit 1: LangGraph Foundations & State Management

Lec1

State Reducers

What is the specific function of add_messages in a TypedDict state?

Medium

1

C

It deletes old messages to save memory.

It converts messages to JSON strings.

It appends new messages to the list and handles deduplication/merging.

It sends messages directly to the LLM without storing them.

4

Unit 1: LangGraph Foundations & State Management

Lec1

Message Types

Which message type represents a response generated by the Large Language Model in LangChain?

Easy

1

B

HumanMessage

AIMessage

SystemMessage

ToolMessage

5

Unit 1: LangGraph Foundations & State Management

Lec1

Nodes

In a LangGraph node function, what is the standard return value format?

Medium

1

D

A string containing the answer content.

A boolean indicating if the node succeeded.

The full State object with all fields updated.

A dictionary representing State updates (deltas).

6

Unit 1: LangGraph Foundations & State Management

Lec1

Edges

What is the primary purpose of “Conditional Edges” in LangGraph?

Medium

1

A

To route execution dynamically based on the current state (e.g., router logic).

To connect nodes that always run in a fixed sequence.

To visualize the graph structure in a user interface.

To provide metadata about the connection type.

7

Unit 1: LangGraph Foundations & State Management

Lec1

Context

Which of the following is typically considered “Context” (metadata) rather than part of the “Messages” list in the State?

Easy

1

C

The latest query from the user.

The LLM’s suggested response.

user_id or max_iterations counter.

The result returned from a tool execution.

8

Unit 1: LangGraph Foundations & State Management

Lec1

Graph API

Which class is used to initialize a stateful graph workflow with a specific schema?

Easy

1

B

GraphWorkflow

StateGraph

LangChainGraph

MessageGraph

9

Unit 1: LangGraph Foundations & State Management

Lec1

Nodes

What does a Node typically do in a LangGraph execution step?

Easy

1

A

Reads the current state, processes it (LLM/tools), and returns an update.

Only routes traffic between other nodes without processing.

Permanently saves all session data to a physical database.

Renders the final output for the user.

10

Unit 1: LangGraph Foundations & State Management

Lec1

Graph API

What does the workflow.compile() method return?

Medium

1

C

A static JSON representation of the graph.

A standard Python dictionary.

A CompiledGraph (app) that can be invoked or streamed.

A direct connection to the underlying database.

11

Unit 1: LangGraph Foundations & State Management

Lec1

State

What is the core role of the messages field in a LangGraph State?

Easy

1

A

It is the core communication channel for I/O.

It stores API keys.

It defines the database schema.

It acts as a hardcoded counter.

12

Unit 1: LangGraph Foundations & State Management

Lec1

State

When should you use context fields instead of the messages list?

Medium

1

C

To track conversation history.

To store the compiled graph.

For configuration, metadata, and tracking.

To entirely replace the LLM.

13

Unit 1: LangGraph Foundations & State Management

Lec1

State

What is a primary characteristic of the built-in MemorySaver checkpointer?

Easy

1

B

It encrypts data to the cloud.

It stores data in-memory; lost on restart.

It requires PostgreSQL.

It is the standard for production.

14

Unit 1: LangGraph Foundations & State Management

Lec1

State

What attribute of the last message is checked to trigger tools?

Medium

1

D

status_code

system_prompt

error_log

tool_calls

15

Unit 1: LangGraph Foundations & State Management

Lec1

State

What are the standard sequential steps a node function follows?

Medium

1

A

Read messages, process, return deltas.

Render UI and capture clicks.

Connect to DB and drop tables.

Initialize checkpointer.

16

Unit 1: LangGraph Foundations & State Management

Lec1

State

How can agents identify their outputs in a shared messages list?

Hard

1

B

Appending their name to content.

Tagging the AIMessage with a name attribute.

Using separate state dicts.

Converting messages to numbers.

17

Unit 1: LangGraph Foundations & State Management

Lec1

State

Why is a checkpointer essential for a stateful LangGraph application?

Medium

1

C

It prevents hallucinations.

It translates output.

It allows state persistence and resumption.

It converts Python to JSON.

18

Unit 1: LangGraph Foundations & State Management

Lec1

State

What behavior does add_messages provide?

Hard

1

D

Deletes all old messages.

Translates messages.

Limits the array to 10 messages.

Appends new messages and handles deduplication.

19

Unit 1: LangGraph Foundations & State Management

Lec1

State

How can a developer visually inspect the structure of a compiled LangGraph app?

Easy

1

A

Using the draw_mermaid_png() method.

Printing the raw compile() output.

Reading system log files.

Checking the SQLite database.

20

Unit 1: LangGraph Foundations & State Management

Lec1

State

Which method determines the first node that executes in a StateGraph?

Easy

1

C

start_node()

init_graph()

set_entry_point()

add_first_edge()