Tool usage (function calling) in Prompt Engineering / GenAI - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding function calling in AI tool usage

Which statement best describes the purpose of function calling in AI tools?

A It is used to train the AI model by calling training functions repeatedly.

B It automatically fixes bugs in the AI code without human intervention.

C It allows the AI to request specific external actions or data by invoking predefined functions.

D It generates random outputs without any input or function definitions.

💡 Hint

Think about how AI can interact with external systems or APIs.

Function calling lets AI request specific tasks or data by invoking predefined functions, enabling dynamic and controlled interactions.

❓ Predict Output

intermediate

Output of a function call in AI tool usage

What is the output of the following function call simulation in an AI tool?

Prompt Engineering / GenAI

def get_weather(city):
    return f"The weather in {city} is sunny."

result = get_weather('Paris')
print(result)

A The weather in city is sunny.

B The weather in Paris is sunny.

C The weather in Paris is rainy.

D Error: function get_weather not defined.

💡 Hint

Look at the function return string and the argument passed.

The function returns a string with the city name inserted. Since 'Paris' is passed, the output includes 'Paris'.

❓ Model Choice

advanced

Choosing the right function for AI tool usage

You want an AI tool to fetch the current stock price for a company. Which function call is most appropriate?

A fetch_stock_price(company_symbol: str) -> float

B train_stock_model(data: list) -> None

C generate_random_number() -> int

D save_to_database(data: dict) -> bool

💡 Hint

Focus on the function that retrieves stock price information.

The function fetch_stock_price is designed to get the current stock price given a company symbol, which matches the task.

❓ Hyperparameter

advanced

Setting parameters for function calls in AI tools

When calling a function to generate text with an AI model, which parameter controls the randomness of the output?

A max_depth

B batch_size

C learning_rate

D temperature

💡 Hint

Think about which parameter affects creativity or randomness in generated text.

The temperature parameter controls randomness: higher values produce more random outputs, lower values make output more predictable.

🔧 Debug

expert

Debugging a function call error in AI tool usage

Given this function call in an AI tool, what error will it raise?

Prompt Engineering / GenAI

def get_user_info(user_id: int):
    return {'id': user_id, 'name': 'Alice'}

info = get_user_info('123')
print(info)

A No error, prints {'id': '123', 'name': 'Alice'}.

B KeyError because 'name' key is missing.

C TypeError because a string was passed instead of an int.

D SyntaxError due to missing colon.

💡 Hint

Check the function parameter type and the argument passed.

The function expects an integer user_id, but a string '123' is passed, causing a TypeError in strict type checking environments.