These Python test questions and answers are built for testers and freshers preparing for online assessments and data or ETL testing interviews in India. Try each question before opening the answer. The first half covers Python basics; the second half covers what data testing roles actually use: pandas and pytest.
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How to Use This Test
- Give yourself 20 minutes for the 20 MCQs.
- Write the 5 coding answers yourself before reading ours.
- Score yourself at the end and revise the topics you missed.
Python Basics (Q1–Q10)
Q1. What is the output of print(type([]))?
- A. <class 'tuple'>
- B. <class 'list'>
- C. <class 'dict'>
- D. <class 'set'>
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[] is an empty list.Q2. Which of these is immutable?
- A. list
- B. dict
- C. tuple
- D. set
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Q3. What does len("ETL") return?
- A. 2
- B. 3
- C. 4
- D. Error
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Q4. What is 7 // 2?
- A. 3.5
- B. 3
- C. 4
- D. 1
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// is floor division.Q5. What does "a,b,c".split(",") return?
- A. 'abc'
- B. ['a', 'b', 'c']
- C. ('a', 'b', 'c')
- D. ['a,b,c']
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Q6. Which keyword handles an exception?
- A. catch
- B. except
- C. error
- D. handle
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Q7. What is the output of bool("")?
- A. True
- B. False
- C. None
- D. Error
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Q8. Which creates a dictionary?
- A. {1, 2}
- B. [1: "a"]
- C. {"id": 1}
- D. ("id", 1)
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Q9. What does set([1, 1, 2]) give?
- A. {1, 1, 2}
- B. {1, 2}
- C. [1, 2]
- D. Error
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Q10. What is [x * 2 for x in range(3)]?
- A. [0, 2, 4]
- B. [2, 4, 6]
- C. [0, 1, 2]
- D. [1, 2, 3]
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pandas and pytest Questions for Testers (Q11–Q20)
Q11. Which pandas function reads a CSV file?
- A. pd.open_csv()
- B. pd.read_csv()
- C. pd.load_csv()
- D. pd.csv()
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Q12. What does df.isna().sum() show?
- A. Total rows
- B. Missing values per column
- C. Duplicate rows
- D. Column types
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Q13. Which finds duplicate order_id rows?
- A. df.unique("order_id")
- B. df.duplicated("order_id")
- C. df.drop("order_id")
- D. df.count("order_id")
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Q14. Which merge finds rows missing in target?
- A. how="inner"
- B. how="left", indicator=True
- C. how="cross"
- D. concat()
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Q15. What does assert a == b do in pytest when false?
- A. Prints a warning
- B. Fails the test
- C. Skips the test
- D. Nothing
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Q16. Where are shared pytest fixtures usually placed?
- A. main.py
- B. conftest.py
- C. setup.cfg
- D. __init__.py
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Q17. Which runs the same test for many inputs?
- A. @pytest.fixture
- B. @pytest.mark.parametrize
- C. @pytest.skip
- D. @staticmethod
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Q18. Which library is commonly used to connect Python to SQL databases?
- A. NumPy
- B. SQLAlchemy
- C. Matplotlib
- D. Requests
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Q19. What does df.groupby("region")["amount"].sum() return?
- A. One total
- B. Total amount per region
- C. Count per region
- D. Average per region
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Q20. float("nan") == float("nan") is:
- A. True
- B. False
- C. Error
- D. None
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Python Coding Test Questions (Q21–Q25)
Q21. Write a function that returns duplicate values in a list.
def duplicates(items): seen, dups = set(), set() for x in items: if x in seen: dups.add(x) seen.add(x) return dups assert duplicates([1, 2, 2, 3, 3]) == {2, 3}
Q22. Count the words in a sentence.
from collections import Counter print(Counter("data test data".split())) # Counter({'data': 2, 'test': 1})
Q23. Reverse a string and check if it is a palindrome.
def is_palindrome(s): s = s.lower().replace(" ", "") return s == s[::-1] assert is_palindrome("Madam")
Q24. Find IDs present in source but not in target (lists).
source = [101, 102, 103, 104] target = [101, 103] missing = sorted(set(source) - set(target)) print(missing) # [102, 104]
Q25. Read a CSV and report columns with missing values.
import pandas as pd df = pd.read_csv("customers.csv") nulls = df.isna().sum() print(nulls[nulls > 0])
Score Yourself
| Score (MCQs) | What it means | Next step |
|---|---|---|
| 17–20 | Interview-ready on Python basics | Move to ETL automation interview questions |
| 12–16 | Good base, gaps in pandas or pytest | Revise with Python for testers |
| Below 12 | Start with fundamentals | Follow the 6-week plan in Python for testers |
Tips for Online Python Tests
- Many Indian companies use online assessment platforms for the first round. The questions above are practice questions in a similar style, not questions from any specific platform.
- Read the full question before coding; edge cases (empty input, duplicates, NULL/NaN) are where marks are lost.
- Run small examples with print statements before submitting.
- Manage time: skip and return instead of getting stuck.
Practise Under Interview Conditions
Reading answers is not the same as answering under time pressure. ETL Testing Interview Questions & Answers – Practice Tests gives you 500+ questions with detailed explanations, from fresher to experienced level, including Python and ETL automation questions alongside SQL, data warehouse and scenario-based rounds. Attempt a test, review every explanation, and retake until you are consistently above 80%.
- Timed practice tests that feel like a real screening round
- Python, automation, SQL and scenario questions in one place
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- Lifetime access and Udemy’s refund policy
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Frequently Asked Questions
What Python questions are asked in a test for freshers?
Data types, lists and dictionaries, loops, string methods, exceptions, simple functions and short coding tasks such as finding duplicates or reversing a string.
Which Python topics matter most for ETL or data testing roles?
pandas (read_csv, merge, groupby, isna, duplicated), pytest (assert, fixtures, parametrize) and connecting to databases with SQLAlchemy.
Can I download these Python test questions as a PDF?
Use your browser’s print option (Ctrl+P, then Save as PDF) to save this page.
Are these the actual questions from company online tests?
No. They are original practice questions in a similar style. Use them to build skill, not to memorise answers.
Asim Noaman Lodhi
Certified Google Partner · QA Consultant · 12+ Years IT
QA consultant specializing in ETL testing and data quality. Trained 913+ students to transition into data testing roles through hands-on, real-world instruction.