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Python

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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

  1. Object Oriented Programming - Interfaces, Polymorphism.

  2. ORM frameworks like SQLAlchemy.

  3. Pytest

  4. Flask

  5. 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

What kind of questions are asked in the challenge?

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?

What kind of questions are asked in the challenge?

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?

What kind of questions are asked in the challenge?

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?