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Adaface Public Python Questions

Here are some sample Python questions from our premium questions library (10273 non-googleable questions).
🧐 Spørsmål🔧 Ferdighet💪 Vanskelighet⌛ Tid
ZeroDivisionError and IndexError - What will the following Python
PythonMedium2 minutt:
Session -
File Handling Dictionary
PythonHard2 minutt:
Max Code - Below are code lines to create
PythonLett2 minutt:

Adaface Python questions are used by enterprises worldwide

Morgan Stanley
SG Government
Ernst and Young
Optimum Solutions
United Nations
Love Bonito

About Adaface Python Questions

Adaface Python questions are designed by experts in the Python programming language to test for on-the-jobs skills, not just theoretical knowledge. Some of the popular topics the questions will cover are:

  • Classes, Objects, Loops, Exceptions
  • Strings, Lists, Tuples, Dictionary
  • Dictionaries and Sets
  • Conditional Execution & Loops
  • Comprehensions
  • Functions
  • Modules
  • Scopes and Namespaces
  • File Handling
  • Object Oriented Programming
  • Iterator, Generator, Decorators
  • Lambda Expressions
  • Regular expressions
  • CGI programming
  • Socket programming
  • Writing Libraries
  • Building Frameworks
  • Closure, Function Factory, Method Chaining
  • Exception Handling, Context Manager
  • Metaclasses, Introspection
  • Multithreading, Multiprocessing

Types of Python Questions to expect at Adaface:

Questions are designed by experts in the Python programming language to test for on-the-job skills. Some of the popular topics the questions will cover are:

  • Practical implication based Python queries
  • Real on-the-job Python specific scenario-based problems
  • Evaluations to test analytical thinking while solving problems
  • Progressive difficulty based Python problems

What Topics are Adaface Python questions based on:

The following statements describe the type of Python questions one can expect when using Adaface's pre-assessment tool:

  • Scope resolution
  • Decorators
  • Lists
  • Tuples
  • Dict comprehension
  • List comprehension
  • Lambda
  • Pass
  • Xrange
  • Range
  • Pickling
  • Unpickling
  • Generators
  • Iterators
  • Slicing
  • Negative indexes

How are Adaface Python questions customized?

  • Adaface Python questions are customized for different difficulty levels and solving durations
  • Customized to assess Ideal candidate personas for right jobs
  • Tests for specific on-the-job Python skills
  • Non-googleable questions to prevent cheating during tests

Do’s and Don’ts of selecting Python questions for assessments:


  • Use diversified questions from varied Python topics to test the skill range of candidates
  • Utilize questions of different difficulty levels to test candidates
  • Include questions that are related to on-the-job skill requirements
  • Pick questions that are relevant for the experience level you are targeting
  • Make sure the questions can be understood by a non-native English speaker (easy-to-read questions because programmers should spend time solving the question, not understanding it)
  • Ensure that the questions have a granular (non-binary) scoring
  • Use aptly timed assessments that can be fulfilled within 45-60 mins to make the most optimal use of the time utilized


  • Avoid using trick questions to test the candidates as they are ineffective in testing their on-the-job skills
  • Avoid using lengthy questions as they do not provide an ideal scenario to test the candidatesAvoid unnecessary puzzle trends as they are ineffective in assessing the skills required for the jobAvoid questions that test very niche concepts that a strong candidate might or might not have come across on-the-jobDo not include unnecessarily difficult questions that might or might not test the candidates potential
Search Adaface Public Questions
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