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Session 0: Introduction to Agent Frameworks & Patterns - Test Solutions

Question 1: Which agentic pattern involves an agent evaluating and improving its own outputs?
A) Multi-Agent
B) Planning
C) Tool Use
D) Reflection ✅

Explanation: The reflection pattern specifically involves agents evaluating and improving their own outputs through iterative self-assessment. This pattern includes generating initial output, reflecting on quality, and refining based on critique.

Question 2: The ReAct pattern combines which two key capabilities?
A) Reflecting and Acting
B) Reading and Acting
C) Retrieving and Acting
D) Reasoning and Acting ✅

Explanation: ReAct stands for Reasoning and Acting, combining these capabilities in iterative loops. The agent reasons about what to do next, takes action, observes results, and continues the reasoning-action cycle.

Question 3: Which framework is best suited for high-performance applications with minimal resource usage?
A) PydanticAI
B) LangChain
C) Agno ✅
D) CrewAI

Explanation: Agno is optimized for performance with claims of 50x more memory efficiency and 10,000x faster agent instantiation, making it ideal for high-performance applications.

Question 4: What is the primary advantage of the Multi-Agent pattern?
A) Lower resource usage
B) Reduced complexity
C) Specialized expertise collaboration ✅
D) Faster execution

Explanation: Multi-Agent patterns allow different agents with specialized skills to collaborate on complex problems, leveraging the expertise of each agent for optimal results.

Question 5: Which framework emphasizes type safety through schema validation?
A) PydanticAI ✅
B) CrewAI
C) LangChain
D) Agno

Explanation: PydanticAI is built around Pydantic models for strong type safety and schema validation, ensuring data integrity throughout the agent system.

Question 6: The Planning pattern is most useful for:
A) Simple query-response interactions
B) Real-time data processing
C) Static content generation
D) Complex multi-step workflows ✅

Explanation: Planning patterns excel at breaking down complex tasks into manageable, sequenced subtasks, making them ideal for complex multi-step workflows.

Question 7: In the Tool Use pattern, what determines which tool an agent selects?
A) Random selection
B) Execution speed
C) Task requirements and tool descriptions ✅
D) Tool availability

Explanation: Agents analyze task needs against available tool capabilities and descriptions to make intelligent selection decisions about which tools to use.

Question 8: Which framework uses a graph-based architecture for precise control flow?
A) PydanticAI
B) CrewAI
C) LangGraph ✅
D) Agno

Explanation: LangGraph extends LangChain with graph-based architecture using nodes and edges for precise control flow, allowing complex agent workflows.

Question 9: The primary benefit of using agent frameworks over bare metal implementation is:
A) Pre-built components and patterns ✅
B) Simpler deployment
C) Lower costs
D) Better performance

Explanation: Frameworks provide tested implementations of common patterns, reducing development time and complexity while ensuring reliability.

Question 10: Which collaboration pattern involves agents working on different aspects simultaneously?
A) Parallel Processing ✅
B) Hierarchical Teams
C) Debate and Consensus
D) Sequential Processing

Explanation: Parallel processing involves multiple agents working simultaneously on different aspects of a problem, enabling faster overall completion.

Question 11: When would you choose bare metal Python implementation over frameworks?
A) Enterprise integration
B) Production applications
C) Team collaboration projects
D) Learning fundamentals and custom research ✅

Explanation: Bare metal implementation provides complete control and understanding of underlying mechanisms, making it ideal for learning and custom research.

Question 12: The reflection pattern typically involves how many phases?
A) 2 phases: Generate and Reflect
B) 4 phases: Generate, Reflect, Refine, Validate
C) 5 phases: Generate, Reflect, Refine, Test, Deploy
D) 3 phases: Generate, Reflect, Refine ✅

Explanation: The core reflection pattern involves generating initial output, reflecting on quality, then refining based on critique - three essential phases.

Question 13: What makes ADK particularly suitable for enterprise applications?
A) Fastest execution speed
B) Built-in security, monitoring, and Google Cloud integration ✅
C) Open source licensing
D) Simplest learning curve

Explanation: ADK provides enterprise features like security, compliance, monitoring, and cloud-native integration, making it suitable for business applications.

Question 14: In multi-agent systems, what is the role of a "Manager Agent"?
A) Store data and state
B) Provide user interface
C) Coordinate worker agents and manage interactions ✅
D) Execute all tasks directly

Explanation: Manager agents orchestrate team activities and handle inter-agent communication, coordinating the work of specialized worker agents.

Question 15: Which pattern would be most appropriate for a task requiring real-time stock price analysis?
A) Multi-Agent (for collaboration)
B) Reflection (for self-improvement)
C) Tool Use (for accessing live data APIs) ✅
D) Planning (for multi-step workflows)

Explanation: Real-time stock analysis requires accessing external APIs for current market data, making Tool Use the most appropriate pattern for this scenario.

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