Session 2 - Module A: Test Solutions¶
Multiple Choice Test - Module A Solutions
Question 1: What components are defined in the AgentRole dataclass for agent specialization?
Answer: B) Name, description, tools, specialization, and expertise_areas
Explanation: The AgentRole dataclass includes five key components: name (identifier), description (purpose), tools (specific capabilities), specialization (primary focus area), and expertise_areas (list of knowledge domains). This comprehensive structure enables systematic agent creation and management.
Question 2: What is the primary purpose of the MultiAgentOrchestrator class?
Answer: B) Coordinate complex workflows across multiple specialized agents
Explanation: The MultiAgentOrchestrator manages multiple specialized agents, coordinating their interactions and ensuring efficient task distribution based on each agent's specialization. It handles complex workflows that require collaboration between different agent types.
Question 3: How does the workflow coordination engine track execution progress?
Answer: B) Uses workflow_context with phases, intermediate_results, and agent_interactions
Explanation: The workflow coordination engine maintains a comprehensive workflow_context dictionary that tracks phases completed, intermediate results from each phase, and all agent interactions. This enables detailed monitoring and debugging of complex workflows.
Question 4: What differentiates a research agent from an analysis agent in the multi-agent system?
Answer: B) Specialized tools and system messages focused on their domain
Explanation: Research agents get tools for web search, document analysis, and fact-checking, while analysis agents receive data processing, statistical analysis, and visualization tools. Each also has tailored system messages that define their specific roles and approaches.
Question 5: What happens in the synthesis phase of the complex workflow?
Answer: C) Combines research and analysis results into comprehensive output
Explanation: The synthesis phase is the final step that takes results from both the research phase and analysis phase, combining them into a comprehensive output. It leverages accumulated knowledge to create actionable recommendations and structured reports.