Agent roles and specialization in Agentic AI - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Agent Specialization Roles

Which of the following best describes the role of a specialized agent in a multi-agent system?

A An agent that performs a wide range of unrelated tasks without focusing on any specific domain.

B An agent that randomly selects tasks to perform without coordination with others.

C An agent that only monitors other agents but does not perform any tasks.

D An agent designed to handle a specific task or domain with expert knowledge and skills.

💡 Hint

Think about how experts focus on one area to do their best work.

Specialized agents focus on specific tasks or domains to provide expert-level performance, unlike general agents that handle many tasks.

❓ Model Choice

intermediate

Choosing Agent Roles for a Collaborative Task

You have a team of agents to build a smart home system. Which agent role specialization would best fit the task of controlling lighting based on user presence?

A Navigation agent specialized in path planning.

B Security agent specialized in threat detection.

C Environment control agent specialized in lighting and temperature.

D Data analysis agent specialized in sales forecasting.

💡 Hint

Think about which agent focuses on managing the home environment.

The environment control agent specializes in managing lighting and temperature, making it ideal for controlling lighting based on presence.

❓ Metrics

advanced

Evaluating Specialized Agent Performance

You have two specialized agents: Agent A for image recognition and Agent B for speech recognition. After testing, Agent A has 95% accuracy and Agent B has 85% accuracy. Which metric best explains why Agent A is considered more specialized?

A Higher accuracy indicates better task-specific performance.

B Lower latency means faster response time.

C Higher memory usage shows more complex processing.

D More training data means better generalization.

💡 Hint

Specialization often relates to how well an agent performs its specific task.

Accuracy measures how well an agent performs its task; higher accuracy means better specialization in that task.

🔧 Debug

advanced

Debugging Agent Role Assignment Code

What error will this Python code raise when assigning roles to agents? ```python agents = ['agent1', 'agent2', 'agent3'] roles = ['navigator', 'communicator'] assignment = {agent: roles[i] for i, agent in enumerate(agents)} ```

A IndexError because roles list has fewer elements than agents list.

B No error; the code runs correctly.

C TypeError because dictionary comprehension syntax is invalid.

D KeyError because roles list is shorter than agents list.

💡 Hint

Check if the roles list has enough elements for all agents.

The code tries to access roles[i] for i=2, but roles has only 2 elements (indices 0 and 1), causing IndexError.

❓ Predict Output

expert

Output of Specialized Agent Coordination Code

What is the output of this Python code simulating specialized agents collaborating? ```python class Agent: def __init__(self, name, role): self.name = name self.role = role def act(self): return f"{self.name} performs {self.role} task" agents = [Agent('A1', 'data processing'), Agent('A2', 'decision making'), Agent('A3', 'data processing')] results = [agent.act() for agent in agents if agent.role == 'data processing'] print(results) ```

A ['A1 performs data processing task', 'A2 performs decision making task', 'A3 performs data processing task']

B ['A1 performs data processing task', 'A3 performs data processing task']

C ['A2 performs decision making task']

D []

💡 Hint

Look at the filter condition in the list comprehension.

The list comprehension includes only agents with role 'data processing', so A1 and A3 are included.