Databricks Certified Data Engineer - Associate

Explanation

Let's analyze each option:

Option A:

function add_integers(x, y):
    return x + y

function add_integers(x, y):
    return x + y

• ❌ Incorrect. Python uses def keyword to define functions, not function.
• This syntax is from other languages like JavaScript, not Python.

Option B:

def add_integers(x, y):
    print(x + y)

def add_integers(x, y):
    print(x + y)

• ❌ Incorrect. While this defines a function correctly with def, it uses print() instead of return.
• The function prints the sum but doesn't return it, so the value cannot be captured or used elsewhere in the code.

Option C:

def add_integers(x, y):
    x + y

def add_integers(x, y):
    x + y

• ❌ Incorrect. This defines a function but doesn't return the result.
• In Python, if there's no return statement, the function returns None by default.

Option D:

def add_integers(x, y):
    return x + y

def add_integers(x, y):
    return x + y

• ✅ Correct. This properly:
  1. Uses def to define a function
  2. Has parameters x and y
  3. Uses return to return the sum of x + y
  4. Follows proper Python syntax

Key Points:

• Python functions are defined using the def keyword
• The return statement is essential to send a value back from the function
• Without return, the function either prints (Option B) or does nothing (Option C)
• The function name should be descriptive and follow Python naming conventions (snake_case)

This question tests basic Python function syntax, which is fundamental for data engineers working with PySpark and Python-based data processing in Databricks.