Live Test
Experience Required
1-2 years
1-2 years
Test Duration
20 min
20 min
Test Format
Audio Input
Audio Input
Summary of the test
Summary of the test
Summary of the Python test
An online screening test designed to check fundamental concepts of Python. At an intermediate level, with 2-5 years of experience, a Python developer is expected to efficiently use data structures, object oriented principles, write moderately complex code and handle concurrency, database interactions, automate tasks and follow best practices (PEP 8, testing). This online test will include interview questions for Python that show code and ask the candidate to explain bugs and suggest improvements.
Covered skills
Object Oriented Programming - Interfaces, Polymorphism.
ORM frameworks like SQLAlchemy.
Pytest
Flask
Async Await
Use the Python test to hire
AI Engineers, Fullstack Engineers, Backend Developers, Automation Engineers
Skills Checked:
Skills Checked:
Python Syntax
Basic Data Types
Control Flow
Simple Scripting
File I/O
Debugging Fundamentals
Companies recruiting for this skill:
Companies recruiting for this skill:
Every Utkrusht test shows the candidate a real code challenge that they will
face during their job and observes their ability to:
find faults, suggest improvements, etc.
Sample Questions:
Sample Questions:
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Take the test
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Take the test
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Take the test
Take the test
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Take the test
Consider the following component implementing streaming in a Next.js application that renders a large dataset. However, users report freezing for large datasets. Discuss the reasons and propose potential streaming solutions.
// pages/data-stream.js export async function getServerSideProps() { const res = await fetch('https://api.bigdata.com/dataset'); const data = await res.json(); // Large dataset issue return { props: { data } }; } const DataStream = ({ data }) => ( <div> {data.map(item => ( <div key={item.id}>{item.value}</div> ))} </div> ); export default DataStream;
Take the test
Know more about the test
Know more about the test
Know more about the test
How is this different from HackerRank or CodeSignal or others?
We only hire 2-3 people per year. Is this for us?
Do you also source candidates?
Our product is mainly designed to help you assess technical skills of candidates. But, we also give you access to our database of pre-vetted tech candidates, which we have already sourced. So, please discuss your requirements with our team if you're looking for sourcing as well.
What are tracks?
Can I see a full list of startups who hire from your challenge?
How is Utkrusht different from other screening or skill assessment platforms?
How do you evaluate candidates better than what we currently do?
What do I actually get in the shortlist?
What skills or roles can you assess?
Will this replace my recruiters or team’s hiring process?
Won't candidates "cheat" or do chatgpt?
What if no candidate is good enough?
What if I have candidates but I want to get them tested with your assessments?
How is this different from HackerRank or CodeSignal or others?
We only hire 2-3 people per year. Is this for us?
Do you also source candidates?
Our product is mainly designed to help you assess technical skills of candidates. But, we also give you access to our database of pre-vetted tech candidates, which we have already sourced. So, please discuss your requirements with our team if you're looking for sourcing as well.
What are tracks?
Can I see a full list of startups who hire from your challenge?
How is Utkrusht different from other screening or skill assessment platforms?
How do you evaluate candidates better than what we currently do?
What do I actually get in the shortlist?
What skills or roles can you assess?
Will this replace my recruiters or team’s hiring process?
Won't candidates "cheat" or do chatgpt?
What if no candidate is good enough?
What if I have candidates but I want to get them tested with your assessments?
How is this different from HackerRank or CodeSignal or others?
We only hire 2-3 people per year. Is this for us?
Do you also source candidates?
Our product is mainly designed to help you assess technical skills of candidates. But, we also give you access to our database of pre-vetted tech candidates, which we have already sourced. So, please discuss your requirements with our team if you're looking for sourcing as well.
What are tracks?
Can I see a full list of startups who hire from your challenge?
How is Utkrusht different from other screening or skill assessment platforms?
How do you evaluate candidates better than what we currently do?
What do I actually get in the shortlist?
What skills or roles can you assess?
Will this replace my recruiters or team’s hiring process?
Won't candidates "cheat" or do chatgpt?
What if no candidate is good enough?
What if I have candidates but I want to get them tested with your assessments?