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Session 3: LangGraph Multi-Agent Workflows - Test Solutions

📝 Multiple Choice Test - Session 3

Question 1: What is the primary advantage of LangGraph over sequential LangChain agents?

A) Better performance
B) Lower cost
C) Graph-based workflows with conditional routing and parallel execution ✅
D) Simpler implementation

Explanation: LangGraph's graph-based architecture enables sophisticated workflows with conditional routing, parallel execution, and dynamic flow control, far beyond the sequential limitations of traditional agent chains.

Question 2: In LangGraph, what component defines the data that flows between nodes?

A) State (TypedDict) ✅
B) Edges
C) Memory
D) Tools

Explanation: State in LangGraph is defined using TypedDict, providing a structured, type-safe way to define what data flows between nodes and how it's updated throughout the workflow.

Question 3: What determines the flow between nodes in a LangGraph workflow?

A) Random selection
B) User input
C) Sequential execution only
D) Conditional edges and decision functions ✅

Explanation: LangGraph uses conditional edges with decision functions that examine the current state and determine which node to execute next, enabling dynamic and intelligent workflow routing.

Question 4: How does LangGraph handle parallel agent execution?

A) Through parallel nodes with state merging ✅
B) It doesn't support parallel execution
C) Through external orchestration
D) Using threading only

Explanation: LangGraph supports parallel execution through parallel nodes that can run simultaneously, with their outputs automatically merged into the shared state for downstream processing.

Question 5: What happens when a LangGraph node updates state?

A) State is reset to default
B) The entire state is replaced
C) Previous state is archived
D) Only specified fields are updated/merged ✅

Explanation: LangGraph uses state merging where nodes only update the specific fields they return, preserving other state data and enabling incremental workflow progress.

Question 6: In the debate pattern, what determines when the debate ends?

A) Fixed number of rounds
B) User intervention
C) Consensus score and maximum iterations ✅
D) Random timing

Explanation: The debate pattern uses a consensus scoring mechanism combined with maximum iteration limits to determine when agents have reached sufficient agreement or when the debate should terminate.

Question 7: What is the purpose of a decision function in conditional edges?

A) To manage memory
B) To handle errors
C) To process user input
D) To examine state and determine next node ✅

Explanation: Decision functions in conditional edges examine the current workflow state and use that information to intelligently determine which node should be executed next in the graph.

Question 8: How does the hierarchical team pattern coordinate work?

A) Random task assignment
B) All agents work independently
C) Workers communicate directly
D) A supervisor routes tasks to specialized workers ✅

Explanation: The hierarchical team pattern uses a supervisor agent that analyzes tasks, routes them to appropriate specialized worker agents, and coordinates their collaboration.

Question 9: What is the circuit breaker pattern used for?

A) Stopping workflows manually
B) Optimizing performance
C) Managing memory usage
D) Preventing cascade failures from unreliable services ✅

Explanation: The circuit breaker pattern prevents cascade failures by monitoring service reliability and temporarily disabling calls to failing services, allowing workflows to degrade gracefully.

Question 10: In parallel execution, when should branches be synchronized?

A) Only at the end of the workflow
B) Never - they should be independent
C) At random intervals
D) When downstream nodes need data from multiple branches ✅

Explanation: Parallel branches should be synchronized when downstream processing requires data from multiple branches, ensuring all necessary information is available before proceeding.

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