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

📝 Multiple Choice Test

Question 1: Agentic Patterns

Which agentic pattern involves an agent evaluating and improving its own outputs?

A) Multi-Agent
B) Planning
C) Tool Use
D) Reflection ✅
Correct Answer: 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: ReAct Pattern

The ReAct pattern combines which two key capabilities?

A) Reflecting and Acting
B) Reading and Acting
C) Retrieving and Acting
D) Reasoning and Acting ✅
Correct Answer: 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: Performance-Optimized Framework

Which framework is best suited for high-performance applications with minimal resource usage?

A) PydanticAI
B) LangChain
C) Agno ✅
D) CrewAI
Correct Answer: C) Agno

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: Multi-Agent Advantage

What is the primary advantage of the Multi-Agent pattern?

A) Lower resource usage
B) Reduced complexity
C) Specialized expertise collaboration ✅
D) Faster execution
Correct Answer: C) Specialized expertise collaboration

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: Type Safety Framework

Which framework emphasizes type safety through schema validation?

A) PydanticAI ✅
B) CrewAI
C) LangChain
D) Agno
Correct Answer: A) PydanticAI

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

Question 6: Planning Pattern Use Case

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 ✅
Correct Answer: 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: Tool Selection Logic

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
Correct Answer: C) Task requirements and tool descriptions

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

Question 8: Graph-Based Architecture

Which framework uses a graph-based architecture for precise control flow?

A) PydanticAI
B) CrewAI
C) LangGraph ✅
D) Agno
Correct Answer: C) LangGraph

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

Question 9: Framework Benefits

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
Correct Answer: A) Pre-built components and patterns

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

Question 10: Collaboration Patterns

Which collaboration pattern involves agents working on different aspects simultaneously?

A) Parallel Processing ✅
B) Hierarchical Teams
C) Debate and Consensus
D) Sequential Processing
Correct Answer: A) Parallel Processing

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

Question 11: Bare Metal Implementation

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 ✅
Correct Answer: 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: Reflection Pattern Phases

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 ✅
Correct Answer: 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: Enterprise Framework Features

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
Correct Answer: B) Built-in security, monitoring, and Google Cloud integration

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

Question 14: Manager Agent Role

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
Correct Answer: C) Coordinate worker agents and manage interactions

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

Question 15: Pattern Selection for Real-time Data

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)
Correct Answer: C) Tool Use (for accessing live data APIs)

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

Performance Scoring

  • 15/15 Correct: Excellent understanding of agent frameworks and patterns
  • 12-14 Correct: Good grasp with minor knowledge gaps
  • 9-11 Correct: Adequate understanding, review specific patterns and frameworks
  • 6-8 Correct: Needs review of core concepts and framework differences
  • 0-5 Correct: Recommend re-reading session materials and practicing with examples

Key Concepts Review

Five Core Agentic Patterns

  1. Reflection: Self-evaluation and iterative improvement
  2. Tool Use: Dynamic tool selection and external capability extension
  3. ReAct: Reasoning and Acting in interactive loops
  4. Planning: Multi-step workflow decomposition and execution
  5. Multi-Agent: Specialized collaboration and expertise sharing

Framework Comparison Matrix

  • LangChain: Comprehensive ecosystem with extensive tool integration
  • LangGraph: Graph-based workflows with precise control flow
  • CrewAI: Team-oriented collaboration and role-based agents
  • PydanticAI: Type-safe agents with schema validation
  • Atomic Agents: Modular, composable agent components
  • ADK: Enterprise-grade with security and monitoring
  • Agno: Performance-optimized for high-throughput applications

Pattern Selection Guidelines

  • Simple Tasks: Direct prompting or basic Tool Use
  • Quality-Critical Work: Reflection pattern for iterative improvement
  • External Data Needs: Tool Use for API and database access
  • Complex Workflows: Planning pattern for step-by-step execution
  • Specialized Collaboration: Multi-Agent for expert coordination
  • Real-time Processing: ReAct for dynamic response handling

Answer Summary

  1. B 2. B 3. C 4. B 5. D 6. B 7. C 8. B 9. C 10. B 11. B 12. B 13. B 14. C 15. B

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