Mocha Online Test

Candidates Assessed

26789+

Organizations Served

132+

Our Mocha skills test is the most effective technical skills assessment for recruiters and hiring managers to evaluate candidates for roles such as Node.JS. Software Engineer, Front End Developer. Mocha Skill test contains questions on Data Layers, Stattistical Layers, Initializers, Test Execution, Mocha Backend, Computation Layers, Utility Layer etc. iMocha customers have reported that Mocha JS test helped them reduce technical screening time by 80%. 

About Mocha Online Test

Mocha is a feature-rich JavaScript test framework running on Node.js and in the browser, making asynchronous testing simple and fun. Mocha is a simple, extensible and fast testing library for Node.js.  Mocha tests run serially, allowing for flexible and accurate reporting while mapping uncaught exceptions to the correct test cases. 

Mocha test is designed & validated by global Subject Matter Experts (SME) to assess the Mocha testing skills of candidates - as per industry standards. Mocha online test helps recruiters & hiring managers to evaluate the expertise of candidates in Mocha testing 
 
To assess multiple skills in one go, we provide a facility of customizable assessments that help you in creating the tests for as per your specific needs. The reports are generated instantly. Hiring analytics in Mocha online test will provide you with a detailed analysis of skills related strengths & weaknesses of the candidates that will help you in making right hiring decisions. This Mocha JS test is designed considering EEOC guidelines. It will help you assess & hire diverse talent without any bias. 

Are you a jobseeker looking to sharpen your skills?

Test Summary

Mocha skill test enables employers to identify potential hires by evaluating working skills and job readiness. For this reason, an emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.

The Mocha assessment test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc. 

Test Duration: 20 minutes

No. of Questions: 10

Level of Expertise: Entry/Mid/Senior

Useful for hiring

  • Node.js Software Engineer
  • Front-End Developer

Topics Covered


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Data Layers

The Mocha assessment test evaluates candidate’s knowledge of layers of a computer program which provides simplified access to stored data 

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Statistical Layers

The Mocha skill test assesses candidate’s knowledge of Statistical Layers to compute and accumulate multi-class classification 

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Initializers

The Mocha JS test gauges candidate’s understanding of Initializers to write code in Mocha 

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Test Execution

 The Mocha assessment test lets you check candidate’s knowledge of common testing functions 

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Mocha Backend

Our Mocha test gauges understanding of a component that carries out actual numerical computation 

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Computation Layers

Mocha assessment test also lets you check knowledge of scripting language to make the custom chances  

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Utility Layers

Mocha online test evaluates candidate’s understanding of storing repeatable practical method 

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CPU Backend with Native Extension

 The Mocha skill test evaluates knowledge of producing high performance instructions

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option

Topic:

Computation layer

Difficulty:

Hard


Q 1. Suppose you are using the CropLayer to crop an image. You want that the cropping box should be randomly placed instead of putting at the center. What will you do to achieve the required objective?
Set the random_crop parameter as false
Set the random_mirror parameter as true
Set the random_crop parameter as true
Set the crop_size as random
Set the random_mirror parameter as false

Question types:

Multiple Option

Topic:

Loss Layers

Difficulty:

Hard


Q 2. You are using the MultinomialLogisticLossLayer. You can produce multiple labels for one sample by using the conditional probability blob of a particular shape. You have a requirement to produce only one label from one sample. What will the shape of the conditional probability blob and ground-truth blob that you will use in this case?
Conditional probability blob -> (dim1, dim2, ..., dim_channel, ..., dimN)
Ground-truth blob -> (dim1, dim2, ..., 1, ..., dimN)
Conditional probability blob -> (dim_channel, dim_num)
Ground-truth blob -> (1, dim_num)
Conditional probability blob -> (dim1, dim2, ..., dim_channel, ..., dimN)
Ground-truth blob -> (1, dim_num)
Conditional probability blob -> (dim1, dim2, ..., dim_channel, ..., dimN)
Ground-truth blob -> (dim_channel, dimN)
Conditional probability blob -> (dim1, dim2, ..., dim_channel, ..., dimN)
Ground-truth blob -> (dim_channel, dim1, dim2, ..., 1, ..., dimN)

Sample Report

View Full Report . . .

Skill wise performance report by iMocha

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You can customize this test by

difficulty level
Setting difficulty level of test      

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.                       

multiple skills
Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.                                              

adding own skill
Adding your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.                       

tailor made test
Requesting a tailor-made test                  

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Trusted By

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“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”

Ajay Garg, Associate Manager, Siemens

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