The programming assessment measures a candidate’s coding and problem-solving skills across languages and frameworks. Covering algorithms, data structures, and code optimization, it includes timed tasks from basic to complex. This early-stage test ensures candidates have the technical skills for software and web development roles.
The Programming Assessment starts with basic coding tasks and advances to more difficult challenges that test a candidate’s ability to design, debug, and optimize code. In a 20-question format, this might look like:
The assessment is timed, pushing candidates to demonstrate their ability to solve real-world coding problems under time constraints.
The results of the Programming Assessment provide employers with clear insights into a candidate’s coding skills and ability to solve technical problems. Candidates who perform well are proficient in writing efficient, optimized code, making them strong candidates for software development roles.
The Programming Assessment is best used early in the hiring process for technical roles such as software developers, front-end/back-end engineers, or full-stack developers. It serves as a knockout test, ensuring that only candidates with strong coding skills move forward to more technical interviews.This assessment is particularly useful for companies in tech, software development, and IT, where advanced coding skills are a fundamental requirement.
Basic Level:
What is the purpose of a loop in programming?
a) To repeat code multiple times
b) To stop the execution of code
c) To create a new variable
d) To close a program
Which of the following creates a for loop in JavaScript?
a) for (i = 0; i < 10; i++)
b) while (i < 10)
c) do { } while (i < 10)
d) if (i < 10)
Intermediate Level:
What is the time complexity of a binary search algorithm?
a) O(n)
b) O(log n)
c) O(n^2)
d) O(1)
Which of the following fixes a runtime error in Python?
a) Correcting indentation
b) Removing syntax errors
c) Declaring variables properly
d) All of the above
Advanced Level:
Which of these optimizes an algorithm’s time complexity from O(n^2) to O(n log n)?
a) Merge Sort
b) Bubble Sort
c) Linear Search
d) Insertion Sort