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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

A NextJs professional with 1-2 years experience and basic proficiency demonstrates solid skills in setting up projects using create-next-app and creating pages with file-based routing using the Link component. Capable of rendering static content with JSX, applying basic styling with CSS or libraries like Bootstrap and Tailwind CSS, and building functional React components with dynamic props. Familiar with client-side data fetching using fetch or Axios, basic Git commands, npm/Yarn dependency management, and core JavaScript and React fundamentals.

Skills Checked:

Skills Checked:

  • Next.js Setup

  • File-Based Routing

  • JSX Rendering

  • Basic Styling

  • Client-Side Fetching

  • Git & Npm Commands

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?