120+ Python Multiple Choice Questions & Answers

Intermediate-Level Python Topics- Functions and Modules

Functions help organize and modularize your code, while modules allow you to group related code into a single unit. Key topics include:

• Built-in functions: Functions that come with Python, such as len(), range(), and print().
• Argument passing: How parameters are passed to functions (by value or reference).
• Recursion: A function calling itself.
• Modules: How to import and use Python modules to make your code reusable.

File Handling and Exception Handling

Handling files and exceptions is an important skill for any programmer. It helps in reading, writing, and managing files in Python while avoiding crashes. Topics include:

• File operations: Using open(), read(), write(), and close() to handle files.
• Error handling techniques: try, except, and finally block to manage exceptions.

Object-Oriented Programming in Python

Object-Oriented Programming (OOP) is a programming paradigm that lets you organize your code with classes and objects. Some of the essential OOP concepts in Python are:

• Classes: Concepts for creating objects.
• Objects: Examples of classes.
• Inheritance: Getting new classes from already existing ones.
• Polymorphism: One form multiple methods, you define. 

Advanced Python Topics

Regular Expressions, Decorators, List Comprehension, and Generators. As a matter of fact, Python provides advanced features such as: 

• Regular expressions: Defining and finding patterns in strings. 
• Decorators: These are the functions that change the behavior of other functions. 
• List comprehension: A simple method to create lists. 
• Generators: They are functions that can be called repeatedly to get the next item of a sequence, thus making the collection ​‍​‌‍​‍‌​‍​‌‍​‍‌iterable.

Python Libraries

Popular​‍​‌‍​‍‌​‍​‌‍​‍‌ libraries in Python are the perfect ways to make your coding both easy and efficient. These are some of the most important ones:

• NumPy: It's a library aimed at mathematical numerical operations, and in giving support to arrays.
• Pandas: The best tool for data manipulation and ​‍​‌‍​‍‌​‍​‌‍​‍‌analysis.

• Matplotlib: Used for creating static, animated, and interactive visualization.

Advanced Data Handling in Python

It​‍​‌‍​‍‌​‍​‌‍​‍‌ is essential to master complex data handling in order to fully utilize Python in the fields of artificial intelligence, automation, web development, and data science. The topics discussed in this part are the best practices and necessary ideas to use data structures at a higher level which come along with list comprehensions, advanced dictionary operations, set manipulations, and ​‍​‌‍​‍‌​‍​‌‍​‍‌generators.

List Comprehensions

List comprehensions provide a concise way to create lists by applying an expression to each element in an iterable. This approach is not only syntactically elegant but also efficient, making your code cleaner and often faster. For example, [x**2 for x in range(5)] generates a list of squares from 0 to 16.

Key benefits:

• Simplifies code that transforms or filters lists.
• Often used in data science and automation tasks for quick data transformations.

Dictionary Operations

Python dictionaries are powerful for managing key-value data, a common requirement in automation and web development. Advanced operations include:

• Dictionary comprehensions: {k: v*2 for k, v in dict.items()}
• Merging dictionaries: {**dict1, **dict2}
• Using methods like .get(), .pop(), and .setdefault() for robust data manipulation.

Use cases:
Efficient lookup tables, configuration management, and aggregating results in data science pipelines.

Set Operations

Sets are ideal for storing unique items and performing mathematical set operations. Python supports:

• Union: set1 | set2
• Intersection: set1 & set2
• Difference: set1 - set2
• Symmetric difference: set1 ^ set2

Practical applications:
Removing duplicates, membership testing, and comparing large datasets in automation or data science workflows.

Generators

Generators represent the ideal solution when one has to deal with large or infinite sequences of data and still want to be memory-efficient. They are created with functions that utilize the yield keyword and thus generators deliver items one by one and only if ​‍​‌‍​‍‌​‍​‌‍​‍‌required. 

Advantages:

• Reduce memory usage—especially important in artificial intelligence and data science when processing large datasets.
• Enable the creation of custom iterators with minimal syntax.

Typical syntax:

def countdown(n): while n > 0: yield n n -= 1

Summary:
By mastering these advanced data handling techniques, you can write more efficient, readable, and scalable Python code—an essential skill set for tackling complex challenges in modern programming domains.

Quick Key Takeaways So Far

• Know both theory and application of Python syntax.
• Be ready to explain your answers logically during interviews.
• Exception handling and identity comparisons are common interview topics.
• Concept clarity is the key to consistent interview success.

To master Python, it's essential to understand different concepts at various levels. Below is a breakdown of Python MCQs categorized by difficulty levels:

Python Basics and Syntax

Q1: Which of the following is the correct way to declare a variable in Python?

A) int x = 10

B) x := 10

C) x = 10

D) var = 10

Answer: C) x = 10

Q2: What is the output of print(3 + 2 * 2) in Python?

A) 7

B) 10

C) 8

D) 5

Answer: A) 7

Q3: Which of the following is used for comments in Python?

A) //

B) /* */

C) #

D) <!-- -->

Answer: C) #

Q4: What output can be expected from the following Python code??

x = "Python"
print(x[1])

A) "P"

B) "y"

C) "o"

D) Error

Answer: B) "y"

Q5: Which of the following is a valid variable name in Python?

A) 1variable

B) variable_name

C) variable-name

D) var@name

Answer: B) variable_name

Q6: Which of the following is not a data type in Python?

A) int

B) string

C) char

D) list

Answer: C) char

Q7: What will the following code output?

x = 5
x = x + 2
print(x)

A) 5

B) 7

C) 10

D) Error

Answer: B) 7

Q8: What is the output of print(type("Hello"))?

A) <class 'int'>

B) <class 'str'>

C) <class 'float'>

D) <class 'list'>

Answer: B) <class 'str'>

Q9: Which of the following operators is used to concatenate two strings in Python?

A) +

B) -

C) *

D) /

Answer: A) +

Q10: What is the result of 3 == 3 in Python?

A) True

B) False

C) None

D) Error

Answer: A) True

Q11: Which of the following is used to check the data type of a variable in Python?

A) type()

B) typeof()

C) datatype()

D) check()

Answer: A) type()

Q12: What will the result be for the following Python code??

x = 10
y = 20
print(x + y)

A) 30

B) 10

C) 20

D) Error

Answer: A) 30

Q13: What does the input() function do in Python?

A) Reads input from the console

B) Outputs data to the console

C) Converts input into an integer

D) Allows reading from a file

Answer: A) Reads input from the console

Q14: How do you make a string lowercase in Python?

A) string.lower()

B) string.toLower()

C) string.lowercase()

D) lower(string)

Answer: A) string.lower()

Q15: Which of the following is an example of a float in Python?

A) 10

B) 10.5

C) "10"

D) 10,5

Answer: B) 10.5

Q16: How do you convert a string to an integer in Python?

A) int(string)

B) str(string)

C) float(string)

D) convert(string)

Answer: A) int(string)

Control Structures

Q1: What will the result be for the following Python code??

for i in range(3):
    print(i)

A) 0 1 2

B) 1 2 3

C) 0 1 2 3

D) Error

Answer: A) 0 1 2

Q2: Which of the following statements is used to exit a loop in Python?

A) continue

B) break

C) exit

D) end

Answer: B) break

Q3: What output can be expected from the following Python code?

x = 10
if x > 5:
    print("Greater")
else:
    print("Lesser")

A) Greater

B) Lesser

C) Error

D) None

Answer: A) Greater

Q4: What does the continue statement do in Python?

A) Terminates the loop

B) Skips the current iteration and continues to the next one

C) Ends the program

D) Skips the loop entirely

Answer: B) Skips the current iteration and continues to the next one

Q5: What output can be expected from the following Python code?

x = 0
while x < 3:
    print(x)
    x += 1

A) 1 2 3

B) 0 1 2

C) 0 1 2 3

D) Error

Answer: B) 0 1 2

Q6: What will the following code output?

x = 2
y = 3
if x > y:
    print("X is greater")
else:
    print("Y is greater")

A) X is greater

B) Y is greater

C) Error

D) None

Answer: B) Y is greater

Q7: Which loop is guaranteed to execute at least once in Python?

A) for loop

B) while loop

C) Both

D) None

Answer: B) while loop

Q8: How do you skip to the next iteration in a loop?

A) next

B) skip

C) continue

D) exit

Answer: C) continue

Q9: What will the result be for the following Python code??

for i in range(2, 10, 2):
    print(i)

A) 2 4 6 8

B) 2 4 6 8 10

C) 1 3 5 7 9

D) 2 4 6

Answer: A) 2 4 6 8

Q10: What output can be expected from the following Python code?

x = 5
if x == 5:
    print("Five")
elif x > 3:
    print("Greater than three")
else:
    print("Less than five")

A) Five

B) Greater than three

C) Less than five

D) None

Answer: A) Five

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Q11: What will the result be for the following Python code??

x = 10
if x > 5:
    print("Greater")
elif x == 10:
    print("Equal to 10")
else:
    print("Lesser")

A) Greater

B) Equal to 10

C) Lesser

D) Error

Answer: B) Equal to 10

Q12: How do you define a while loop in Python?

A) while condition:

B) for condition:

C) loop condition:

D) repeat while condition:

Answer: A) while condition:

Q13: What will the following code output?

x = 2
while x < 5:
    print(x)
    x += 1

A) 2 3 4 5

B) 2 3 4

C) 1 2 3 4

D) 1 2 3

Answer: B) 2 3 4

Q14: Which of the following is the correct syntax for an infinite loop in Python?

A) while True:

B) for i in range(10):

C) while x:

D) None of the above

Answer: A) while True:

Q15: What output can be expected from the following Python code?

for i in range(5):
    if i == 3:
        break
    print(i)

A) 0 1 2 3

B) 0 1 2

C) 0 1 2 3 4

D) 3

Answer: B) 0 1 2

Q16: How can you skip an iteration in a loop in Python?

A) break

B) stop

C) skip

D) continue

Answer: D) continue

Q17: What is the purpose of the else clause in a loop in Python?

A) It is used to terminate the loop early

B) It executes if the loop completes without a break

C) It is used to define a new loop

D) None of the above

Answer: B) It executes if the loop completes without a break

Q18:  What will the following code output?

x = 1
while x <= 5:
    print(x)
    x += 1
else:
    print("End")

A) 1 2 3 4 5 End

B) 1 2 3 4 5

C) End

D) Error

Answer: A) 1 2 3 4 5 End

Functions and Modules

Q1: What is the method to define a function in Python?

A) def function_name[]:

B) function function_name():

C) def function_name():

D) func function_name():

Answer: C) def function_name():

Q2: What will the result be for the following Python code??

def greet(name):
    return "Hello, " + name

print(greet("Alice"))

A) Hello

B) Alice

C) Hello, Alice

D) Error

Answer: C) Hello, Alice

Q3: What output can be expected from the following Python code?

def add(a, b):
    return a + b

print(add(5, 3))

A) 5

B) 8

C) 53

D) Error

Answer: B) 8

Q4: Which of the following is the correct way to import a module in Python?

A) import module_name

B) include module_name

C) use module_name

D) import (module_name)

Answer: A) import module_name

Q5: How can you invoke a function that has default arguments in Python?

A) function_name(arg1, arg2)

B) function_name(arg1)

C) function_name()

D) function_name(arg1) when arguments are defined

Answer: B) function_name(arg1)

Q6: What will the result be for the following Python code??

def multiply(a, b=5):
    return a * b

print(multiply(4))

A) 20

B) 4

C) Error

D) 5

Answer: A) 20

Q7: Which function can be used to return the length of a string in Python?

A) length()

B) len()

C) size()

D) lengthof()

Answer: B) len()

Q8: What output can be expected from the following Python code?

def greet(name="Guest"):
    print("Hello, " + name)

greet()
greet("Alice")

A) Hello, Guest

B) Hello, Alice

C) Hello, Guest Alice

D) Error

Answer: A) Hello, Guest and B) Hello, Alice

Q9: How can you define a recursive function in Python?

A) By calling the function inside its own definition

B) By importing a recursive module

C) By using a loop inside the function

D) By using a class definition

Answer: A) By calling the function inside its own definition

Q10: What is the result of this code?

def add(a, b=2):
    return a + b

print(add(5))

A) 5

B) 7

C) Error

D) None

Answer: B) 7

Q11: How do you return a value from a function in Python?

A) return value

B) yield value

C) return()

D) function(value)

Answer: A) return value

Q12: What will the following code output?

def add(a, b=3):
    return a + b
print(add(5))

A) 5

B) 3

C) 8

D) None

Answer: C) 8

Q13: What will the result be for the following Python code??

def subtract(a, b=2):
    return a - b
print(subtract(10))

A) 8

B) 2

C) 10

D) None

Answer: A) 8

Q14: Which of the following is a correct way to call a function with default parameters in Python?

A) function_name(arg1)

B) function_name()

C) function_name(arg1, arg2=2)

D) All of the above

Answer: D) All of the above

Q15: What, according to you, will be the output of the following code?

def multiply(a, b=5):
    return a * b
print(multiply(4, 2))

A) 10

B) 20

C) 8

D) None

Answer: C) 8

Q16: Which built-in Python function can be used to find the number of items in an iterable object?

A) len()

B) count()

C) items()

D) length()

Answer: A) len()

Q17: How can you import a specific function from a module in Python?

A) from module import function_name

B) import module.function_name

C) include module.function_name

D) import function_name from module

Answer: A) from module import function_name

Data Structures in Python

Q1: How do you add an element to a Python list?

A) list.add()

B) list.insert()

C) list.append()

D) list.push()

Answer: C) list.append()

Q2: What will the result be for the following Python code??

x = (1, 2, 3)

print(type(x))

A) <class 'list'>

B) <class 'tuple'>

C) <class 'set'>

D) <class 'dict'>

Answer: B) <class 'tuple'>

Q3: How can you access a specific element in a dictionary in Python?

A) dict[index]

B) dict.element()

C) dict.key()

D) dict[key]

Answer: D) dict[key]

Q4: Which of the following is true about a Python set?

A) Sets can contain duplicate elements

B) Sets are unordered collections

C) Sets support indexing

D) Sets are mutable

Answer: B) Sets are unordered collections

Q5: How do you remove a key-value pair from a dictionary in Python?

A) dict.remove()

B) del dict[key]

C) dict.delete()

D) dict.pop()

Answer: B) del dict[key]

Q6: Which of the following is an ordered collection in Python?

A) set

B) dictionary

C) tuple

D) list

Answer: D) list

Q7: Which data structure would you use to store unique items in an unordered collection?

A) list

B) dictionary

C) set

D) tuple

Answer: C) set

Q8. Which of the following is an ordered collection of elements in Python?

A) Set

B) List

C) Dictionary

D) Tuple

Answer: B) List

Q9: Which method can be used to remove all elements from a list in Python?

A) x.clear()

B) x.delete()

C) x.remove_all()

D) x.reset()

Answer: A) x.clear()

Q10: What is the primary difference between a tuple and a list in Python?

A) A tuple is mutable, while a list is immutable.

B) A tuple is ordered, while a list is unordered.

C) A tuple is immutable, while a list is mutable.

D) A tuple cannot store strings, while a list can.

Answer: C) A tuple is immutable, while a list is mutable.

Here's an intermediate-level Python mcqs with answers:

File Handling and Exception Handling

Q1: Which of the following function is used to open a file in Python?

A) file()

B) open()

C) openfile()

D) fileopen()

Answer: B) open()

Q2: What mode is used to open a file for writing in Python?

A) r

B) w

C) a

D) x

Answer: B) w

Q3: Which exception is raised when there is an attempt to divide by zero?

A) ZeroDivisionError

B) TypeError

C) ValueError

D) IndexError

Answer: A) ZeroDivisionError

Q4: Which of the following is the correct way to handle an exception in Python?

A) try...except

B) catch...finally

C) except...try

D) try...catch

Answer: A) try...except

Q5: What does the finally block do in Python?

A) Executes only if there is an exception

B) Executes after the try block, regardless of whether an exception occurred

C) Is never executed

D) Catches specific exceptions

Answer: B) Executes after the try block, regardless of whether an exception occurred

Q6: What does the open() function return when a file is opened successfully?

A) None

B) True

C) File object

D) String

Answer: C) File object

Q7: How do you close a file in Python?

A) close(file)

B) file.close()

C) file.shutdown()

D) end(file)

Answer: B) file.close()

Q8: Which exception is raised when there is an issue with file input/output operations?

A) FileNotFoundError

B) IOError

C) ValueError

D) KeyError

Answer: B) IOError

Q9: What is the default mode when opening a file in Python?

A) r+

B) w

C) r

D) a

Answer: C) r

Q10: What method is used to read a file line by line in Python?

A) readline()

B) read()

C) readlines()

D) next()

Answer: A) readline()

Q11: Which function is used to raise an exception manually?

A) throw()

B) raise()

C) error()

D) exception()

Answer: B) raise()

Q12: Which statement will open a file for both reading and writing in Python?

A) open("file.txt", "r")

B) open("file.txt", "w")

C) open("file.txt", "r+")

D) open("file.txt", "a+")

Answer: C) open("file.txt", "r+")

Q13: How do you check if a file exists before opening it in Python?

A) os.check()

B) os.path.exists()

C) os.exists()

D) isfile()

Answer: B) os.path.exists()

Q14: Which of the following is not an exception in Python?

A) FileNotFoundError

B) TypeError

C) FileError

D) ZeroDivisionError

Answer: C) FileError

Q15: How do you open a file in append mode in Python?

A) open('file.txt', 'a')

B) open('file.txt', 'w')

C) open('file.txt', 'r')

D) open('file.txt', 'x')

Answer: A) open('file.txt', 'a')

Q16: What is the purpose of the os module in file handling?

A) Handle operating system-related tasks like path operations and file manipulation

B) Handle system-level errors

C) Open and close files

D) Perform mathematical operations

Answer: A) Handle operating system-related tasks like path operations and file manipulation

Q17: Which of the following is used to catch multiple exceptions in one except block?

A) except (TypeError, ValueError):

B) except ValueError, TypeError:

C) except TypeError and ValueError:

D) catch (TypeError, ValueError):

Answer: A) except (TypeError, ValueError):

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Q18: What output can be expected from the following Python code?

try:
    x = 5 / 0
except ZeroDivisionError:
    print("Error occurred")
else:
    print("No Error")
finally:
    print("Execution complete")

A) Error occurred

B) No Error

C) Error occurred Execution complete

D) No Error Execution complete

Answer: C) Error occurred Execution complete

Q19: Which of the following is used to read all contents of a file at once in Python?

A) read()

B) readlines()

C) readall()

D) next()

Answer: A) read()

Q20: What does with statement do in file handling in Python?

A) Automatically closes the file after exiting the block

B) Opens the file in write mode

C) Creates a file if it doesn’t exist

D) Automatically reads the file

Answer: A) Automatically closes the file after exiting the block

Object-Oriented Programming in Python

Q1: What is a class in Python?

A) A blueprint for creating objects

B) A function

C) A method of an object

D) A variable

Answer: A) A blueprint for creating objects

Q2: How do you create an object in Python?

A) object()

B) class()

C) object_name = ClassName()

D) ClassName.create()

Answer: C) object_name = ClassName()

Q3: What is the purpose of the __init__() method in a class?

A) It is used to initialize the object when it is created

B) It initializes the class variables

C) It defines a class function

D) It is a destructor

Answer: A) It is used to initialize the object when it is created

Q4: In Python, which of the following is true about inheritance?

A) A class can inherit attributes and methods from another class

B) A class cannot inherit from another class

C) A class can inherit only attributes, not methods

D) Inheritance is not supported in Python

Answer: A) A class can inherit attributes and methods from another class

Q5: What is the term for a function that is defined inside a class?

A) Constructor

B) Object method

C) Class variable

D) Instance method

Answer: D) Instance method

Q6: What keyword is used to define a method inside a class in Python?

A) func

B) method

C) def

D) class

Answer: C) def

Q7: What is polymorphism in Python?

A) Ability of a single function to operate on multiple data types

B) Inheriting from multiple classes

C) Creating multiple classes from one class

D) Overloading a function

Answer: A) Ability of a single function to operate on multiple data types

Q8: How do you define a class in Python?

A) class ClassName:

B) def ClassName:

C) object ClassName:

D) ClassName()

Answer: A) class ClassName:

Q9: Which function can be used to call a method from a parent class in Python?

A) super()

B) parent()

C) superclass()

D) base()

Answer: A) super()

Q10: What is the concept of encapsulation in object-oriented programming?

A) Hiding the internal implementation details of an object

B) Creating an object

C) Calling a method

D) Initializing variables

Answer: A) Hiding the internal implementation details of an object

Q11: Which of the following is an example of multiple inheritance in Python?

A) class C(A, B):

B) class C(A):

C) class C(B):

D) class A(A, B):

Answer: A) class C(A, B):

Q12: Which of the following methods is called when an object is deleted?

A) __del__()

B) __delete__()

C) __destroy__()

D) __remove__()

Answer: A) __del__()

Q13: How would you define a class variable?

A) Inside a method

B) Outside any method but inside the class

C) Outside the class

D) Inside a function

Answer: B) Outside any method but inside the class

Q14: What does the self keyword refer to in Python?

A) The class itself

B) The instance of the class

C) A reference to the parent class

D) None of the above

Answer: B) The instance of the class

Q15: What is the purpose of the @staticmethod decorator in Python?

A) To define a class method

B) To define a static method that doesn't require an instance of the class

C) To create an object of the class

D) To initialize the method

Answer: B) To define a static method that doesn't require an instance of the class

Q16: Which of the following statements about Python's __str__() method is true?

A) It is used to get a string representation of an object.

B) It is used to define an object's behavior during comparisons.

C) It is used to set values for object attributes.

D) It is used to delete an object.

Answer: A) It is used to get a string representation of an object.

Q17: Which of the following best describes the __init__() method?

A) It initializes a class variable

B) It initializes the state of an object

C) It sets a value for the class

D) It is a destructor method

Answer: B) It initializes the state of an object

Q18: In Python, when a subclass object is created, which method is automatically called first?

A) __init__() method of the parent class

B) __init__() method of the subclass

C) super()

D) self()

Answer: B) __init__() method of the subclass

Q19: Which of the following statements is used to create a derived class in Python?

A) class Derived(A):

B) class Derived extends A:

C) class Derived->A:

D) class Derived(A)->:

Answer: A) class Derived(A):

Q20: What is method overriding in Python?

A) A subclass provides a specific implementation for a method already defined in the parent class

B) A method is executed more than once

C) A method is deleted after use

D) A method is overridden by an external library

Answer: A) A subclass provides a specific implementation for a method already defined in the parent class

Advanced Python MCQs

Here are the Python mcq and answers for advanced level:

Q1: Which module is used for working with regular expressions in Python?

A) re

B) regex

C) regexp

D) re.compile

Answer: A) re

Q2: Which of the following is true about list comprehension?

A) It is used to create a new list by applying an expression to each element of an existing iterable

B) It is used to concatenate two lists

C) It is used for creating a tuple

D) It is a method for reading from a file

Answer: A) It is used to create a new list by applying an expression to each element of an existing iterable

Q3: What is a generator in Python?

A) A function that returns an iterable

B) A loop

C) A type of list comprehension

D) A built-in Python module

Answer: A) A function that returns an iterable

Q4: What is the purpose of the yield keyword in Python?

A) It is used to return a value from a generator

B) It stops the loop

C) It starts a new function

D) It creates a list

Answer: A) It is used to return a value from a generator

Q5: Which of the following is the correct syntax for a decorator in Python?

A) @decorator

B) decorator@

C) decorate()

D) function@decorator

Answer: A) @decorator

Q6: How do you apply a regular expression in Python?

A) re.match()

B) re.regex()

C) regex.match()

D) re.examine()

Answer: A) re.match()

Q7: Which of the following is true about Python generators?

A) They allow lazy evaluation and can be used to generate infinite sequences

B) They are always created by using the def keyword

C) They cannot be iterated over multiple times

D) They do not use memory to store values

Answer: A) They allow lazy evaluation and can be used to generate infinite sequences

Q8: What is the result of this list comprehension in Python?

[i**2 for i in range(5)]

A) [0, 1, 4, 9, 16]

B) [0, 1, 2, 3, 4]

C) [1, 4, 9, 16, 25]

D) [0, 2, 4, 6, 8]

Answer: A) [0, 1, 4, 9, 16]

Q9: What is the primary advantage of using decorators in Python?

A) To add functionality to a function dynamically without modifying the original code

B) To create new classes

C) To add new variables to functions

D) To override functions

Answer: A) To add functionality to a function dynamically without modifying the original code

Q10: Which of the following is a commonly used Python library for scientific computing and working with arrays?

A) NumPy

B) Matplotlib

C) Pandas

D) SciPy

Answer: A) NumPy

Q11: What does import pandas as pd do in Python?

A) Imports the pandas library and aliases it as pd

B) Imports the pandas module

C) Imports the pandas function

D) Creates a new class pd from pandas

Answer: A) Imports the pandas library and aliases it as pd

Q12: What does the re.sub() function do in Python?

A) It replaces occurrences of a pattern with a substitute string

B) It finds all occurrences of a pattern

C) It matches a regular expression

D) It checks if the string matches a pattern

Answer: A) It replaces occurrences of a pattern with a substitute string

Q13: What does the @property decorator do in Python?

A) It defines a method as a read-only property

B) It defines a method that can be used as a property with a getter and setter

C) It creates a private variable

D) It defines a class method

Answer: B) It defines a method that can be used as a property with a getter and setter

Q14: Which of the following statements is true about memory management in Python?

A) Python automatically manages memory through garbage collection

B) Memory management in Python is manually handled by the user

C) Memory is only released when the program ends

D) Memory is not managed in Python

Answer: A) Python automatically manages memory through garbage collection

Q15: What is the purpose of the re.findall() function in Python?

A) To find all non-overlapping matches of a pattern

B) To find the first match

C) To check if a pattern matches a string

D) To search for patterns in a list

Answer: A) To find all non-overlapping matches of a pattern

Python MCQ Based on Python Libraries

Q1: Which of the following is a Python library used for numerical computations?

a) Matplotlib

b) Pandas

c) NumPy

d) SciPy

Answer: c) NumPy

Q2: Which library would you use to create static, animated, and interactive visualizations in Python?

a) TensorFlow

b) Matplotlib

c) NumPy

d) Pillow

Answer: b) Matplotlib

Q3: Which Python library is primarily used for data manipulation and analysis, particularly with DataFrame structures?

a) NumPy

b) Pandas

c) Matplotlib

d) Scikit-learn

Answer: b) Pandas

Q4: What does the requests library in Python primarily allow you to do?

a) Perform data analysis

b) Create plots and visualizations

c) Send HTTP requests and handle responses

d) Perform machine learning tasks

Answer: c) Send HTTP requests and handle responses

Q5: Which library would you use for machine learning tasks such as classification, regression, clustering, and more?

a) Matplotlib

b) Scikit-learn

c) Pillow

d) NumPy

Answer: b) Scikit-learn

Q6: What is the purpose of the TensorFlow library?

a) Data analysis and manipulation

b) Deep learning and neural network development

c) HTTP requests

d) Data visualization

Answer: b) Deep learning and neural network development

Q7: Which of the following Python libraries is used for working with images?

a) NumPy

b) Pillow

c) Pandas

d) Matplotlib

Answer: b) Pillow

Q8: Which Python library would you use to interact with databases using SQL queries?

a) sqlite3

b) Pandas

c) Scikit-learn

d) TensorFlow

Answer: a) sqlite3

Q9: Which library is used for natural language processing (NLP) tasks?

a) TensorFlow

b) NLTK

c) Pandas

d) Matplotlib

Answer: b) NLTK

While preparing for interviews, candidates must ensure to follow these resources and practice the Python MCQs listed above:

Best Resources for Python Multiple-Choice Questions

To prepare effectively for Python MCQ tests, use these resources:

• Online Platforms: Websites like GeeksforGeeks, W3Schools, and HackerRank offer plenty of Python MCQs for practice.
• Books: Books like “Python Crash Course” and “Learning Python” contain exercises and questions at the end of each chapter.
• Mock Tests: Participate in mock tests and coding challenges that simulate the exam environment.

Are Python MCQs Helpful for Job Interviews?

Yes, practicing Python MCQs can significantly help in job interviews. Many companies conduct written tests using MCQs to assess a candidate's knowledge of basic and advanced Python concepts. Familiarizing yourself with these questions will increase your chances of success in the interview process.

In conclusion, practicing Python MCQs is a key step in mastering the language. From beginner-level concepts like variables and operators to advanced topics such as decorators and memory management, Python MCQs cover a broad range of knowledge that is necessary for programming success. The benefits of regular practice extend to job interviews, certifications, and coding tests, making it a valuable tool for all Python learners.

Why does it matter?

Python​‍​‌‍​‍‌​‍​‌‍​‍‌ is still the main language of choice in automation, AI, and data-driven development. Recruiters mainly use multiple-choice questions as a tool to assess candidates' coding logic and accuracy. Consistent multiple-choice question practice not only helps one to get better at debugging but also quickens problem-solving and strengthens the memory of concepts — thus it becomes a seamless integration of theoretical knowledge with practical programming ​‍​‌‍​‍‌​‍​‌‍​‍‌skills.

Next Step:

To make your preparation more effective:

• Attempt 10–15 questions daily with complete focus.
• Run each code snippet in an IDE to test its output.
• Maintain a short list of mistakes and revisit them weekly.
• Identify tricky areas like loops, functions, and exceptions for extra practice.
• Revise older questions regularly to strengthen memory.
• Apply similar logic in mini Python projects to build real experience.
• Take occasional mock tests to assess your readiness.

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Talk to a career expert

1. Why are Python MCQs important? 

Python MCQs help reinforce foundational knowledge, improve problem-solving skills, and prepare for interviews, certifications, and coding tests.

2. What is the difference between Python lists and tuples? 

The main difference is that lists are mutable (can be changed), while tuples are immutable (cannot be changed after creation).

3. Can mcq on Python help in job interviews? 

Yes, many tech companies use Python MCQs to assess your understanding of the language. Practicing these questions boosts your interview preparation.

4. How can I prepare for Python MCQs? 

To prepare for Python MCQs, use online platforms, and books, and participate in mock tests to simulate the real exam experience.

5. What are some advanced Python topics covered in MCQs? 

Advanced topics include regular expressions, decorators, memory management, and popular Python libraries like NumPy and Pandas.