Async agent execution in Agentic Ai - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 conceptual

intermediate

Understanding Async Agent Execution Basics

Which statement best describes the main advantage of using asynchronous execution in AI agents?

A It allows the agent to perform multiple tasks at the same time without waiting for each to finish.

B It guarantees that tasks are executed in a strict order, one after another.

C It reduces the agent's memory usage by storing fewer task details.

D It makes the agent run slower but more accurately.

💻 code output

intermediate

Output of Async Agent Task Scheduling

What will be the output of the following async agent code snippet?

Agentic_ai

import asyncio

async def task(name, delay):
    await asyncio.sleep(delay)
    return f'Task {name} done'

async def main():
    results = await asyncio.gather(
        task('A', 1),
        task('B', 0.5),
        task('C', 0.2)
    )
    print(results)

asyncio.run(main())

A ['Task A done', 'Task C done', 'Task B done']

B ['Task C done', 'Task B done', 'Task A done']

C ['Task A done', 'Task B done', 'Task C done']

D ['Task B done', 'Task A done', 'Task C done']

❓ model choice

advanced

Choosing the Best Model for Async Agent Execution

Which model architecture is best suited for an AI agent that requires efficient asynchronous task handling and context switching?

A Recurrent Neural Network (RNN) with sequential processing

B Transformer model with self-attention mechanisms

C Feedforward Neural Network with fixed input size

D Convolutional Neural Network (CNN) for image tasks

❓ hyperparameter

advanced

Hyperparameter Impact on Async Agent Performance

Which hyperparameter adjustment is most likely to improve an async agent's responsiveness when handling many simultaneous tasks?

A Increasing the number of parallel worker threads

B Reducing the learning rate drastically

C Decreasing the number of training epochs

D Increasing batch size during training

🔧 debug

expert

Debugging Async Agent Deadlock

Given this async agent code, what is the cause of the deadlock preventing task completion?

Agentic_ai

import asyncio

async def task1():
    await task2()
    return 'Task1 done'

async def task2():
    await task1()
    return 'Task2 done'

async def main():
    result = await asyncio.gather(task1(), task2())
    print(result)

asyncio.run(main())

A The tasks return strings instead of coroutine objects.

B The tasks are missing await keywords causing syntax errors.

C The asyncio.gather call is missing a timeout parameter.

D The tasks call each other recursively causing infinite waiting.