Express.js

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About Express.js skill assessments​​

Express.js is a prebuilt Node JS framework that can help in creating server-side web applications faster. It allows you to define routes of the application based on HTTP methods and URLs. It works as the library for many Node web frameworks and assists in managing everything from setting up and configuring routes to sending and receiving requests between the database and front-end of an application. This Express.js assessment evaluates candidate's knowledge and skills in configuring servers, handling incoming requests, serving data to clients, and routing requests.​​

Express.js assessment Topic​​​

  • Express JS basics
  • API and Routing​
  • Templating
  • Databases Integration​
  • Scaffolding
  • Routing and URL Building​

Why neoHire’s skill Assessments are the best?​

Assessment Library​

Choose from an extensive library of 500+ prebuilt skill Assessments and evaluate candidates more efficiently.​

Tailor-Made Question Bank​​​

Assess an applicant’s capability in your own unique way by using a custom question bank that focuses on a certain skill. Our dedicated subject matter expert will design a unique question bank that is exclusively made for you as per the job description.​​

Difficulty level vetted by our experts :​​​​

Programmer Complexity Matrix​

Questions are organized based on the competency needed for each level. The programmer competency matrix is a well-recognized framework used by the industry. The questions banks are curated based on this and gets handy for building contextual Assessment.

Bloom’s
Taxonomy​

Bloom’s taxonomy is used for the classification of educational learning objectives into levels of complexity and specificity. The experts get to organize and set questions based on various bloom’s taxonomy. ​

Space-time
complexity​​

For identifying quality programmers, the questions can also be marked by setting time, memory, output and code size.​

Difficulty level vetted by Machine Intelligence

Automatic Difficulty Analyzer ​​​​

Our inbuild algorithm, analyses various parameters like Questions used in assessments, time spent by candidates, time taken to answer when compared to peers, attempts, accuracy and various other data parameters to determine the difficulty level. The difficulty level are graded from 1 to 5 based on the analysis. ​

AI-Powered auto evaluation options​

Our powerful AI-powered engine helps you to assess your employee’s potential at once. With the aid of the auto-evaluation feature, the assessment modules are evaluated at a rapid rate.​ ​

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