Python Strings and Regex MCQ Quiz

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Python Strings and Regex MCQ Quiz

Python Strings and Regular Expressions (Regex) are among the most important topics in modern Python development. Whether you are working with APIs, backend systems, automation scripts, AI applications, JSON data, or user validation, strong string-handling skills are essential.

The following Python Strings and Regex MCQ quiz is designed for freshers, students, and junior developers preparing for coding interviews.

These questions cover practical concepts that developers use regularly in real-world software development rather than focusing only on theory.

1. What will be the output?

A. Python

B. nohtyP

✓ Correct

C. Error

D. PYTHON

Please select an answer.

Correct Answer: (B)

Explanation: The slicing syntax [::-1] tells Python to traverse the string backward one character at a time. This is one of the most common Python string interview questions for beginners.

2. Which Python string method removes spaces from both sides of a string?

A. replace()

B. split()

C. strip()

✓ Correct

D. join()

Please select an answer.

Correct Answer: (C)

Explanation: The strip() method removes leading and trailing spaces from text. Developers commonly use it while processing user input, forms, APIs, and backend validation workflows.

3. What will be the output?

A. Python Java C++

B. ['Python', 'Java', 'C++']

✓ Correct

C. Error

D. Python,Java,C++

Please select an answer.

Correct Answer: (B)

Explanation: The split() method breaks a string into multiple parts using a separator. This technique is heavily used in CSV processing, APIs, and automation scripts.

4. Which method combines multiple items into a single string?

A. split()

B. replace()

C. join()

✓ Correct

D. find()

Please select an answer.

Correct Answer: (C)

Explanation: The join() method combines list elements into one formatted string. Developers use it frequently when generating reports, chatbot responses, logs, and dynamic content.

5. Which Python string method checks whether a username contains only letters and numbers?

A. startswith()

B. isalnum()

✓ Correct

C. lower()

D. strip()

Please select an answer.

Correct Answer: (B)

Explanation: The isalnum() method validates whether a string contains only alphabets and numbers. It is commonly used in login systems, signup forms, and authentication workflows.

6. What does the Regex pattern \d represent?

A. Any alphabet

B. Any special character

C. Any digit from 0 to 9

✓ Correct

D. Any whitespace

Please select an answer.

Correct Answer: (C)

Explanation: The \d pattern matches a single digit between 0 and 9. It is widely used in phone number validation, transaction IDs, employee IDs, and numeric data extraction.

7. Which Python module provides built-in Regex support?

A. regex

B. string

C. text

D. re

✓ Correct

Please select an answer.

Correct Answer: (D)

Explanation: Python provides Regex functionality through the built-in re module. Developers use it for validation, pattern matching, text extraction, and data cleaning.

8. What is the primary difference between match() and search()?

A. Both work exactly the same

B. match() finds all matches

C. match() checks from the beginning, search() checks anywhere

✓ Correct

D. search() replaces text

Please select an answer.

Correct Answer: (C)

Explanation: The match() function only checks patterns at the start of a string, while search() scans the entire string. This is one of the most commonly asked Python Regex interview questions.

9. Which Regex pattern validates a 10-digit phone number?

A. \d+

B. ^\d{5}$

C. ^\d{10}$

✓ Correct

D. [0-9]

Please select an answer.

Correct Answer: (C)

Explanation: The pattern ^\d{10}$ ensures that the input contains exactly 10 digits from start to end. It is commonly used in OTP systems, banking applications, and e-commerce platforms.

10. What does the Regex function findall() return?

A. First match only

B. Match object

C. Boolean value

D. All matching values as a list

✓ Correct

Please select an answer.

Correct Answer: (D)

Explanation: The findall() function searches the complete string and returns every match in a list. It is useful for extracting order IDs, transaction numbers, phone numbers, and log data.

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Python Strings and Regex MCQ Quiz

1. What will be the output?

2. Which Python string method removes spaces from both sides of a string?

3. What will be the output?

4. Which method combines multiple items into a single string?

5. Which Python string method checks whether a username contains only letters and numbers?

6. What does the Regex pattern \d represent?

7. Which Python module provides built-in Regex support?

8. What is the primary difference between match() and search()?

9. Which Regex pattern validates a 10-digit phone number?

10. What does the Regex function findall() return?

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