1Z0-1127-25 LangChain and AI Application Development Practice Question
Which LangChain abstraction is responsible for storing and retrieving conversation history to maintain context across multiple turns in a chatbot?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Memory
Memory in LangChain is designed to store and retrieve conversation history, enabling context-aware responses. Models generate text, chains orchestrate steps, and agents decide actions — none handle history directly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Memory
Why this is correct
Memory explicitly stores and manages conversation history for context across turns.
- ✗
Agent
Why it's wrong here
Agents decide which tools to use but delegate history management to Memory.
- ✗
Chain
Why it's wrong here
Chains compose sequences of calls but do not manage history themselves; they rely on Memory.
- ✗
Model
Why it's wrong here
Models generate text but do not inherently store conversation history.
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