BYJU'S Coding Questions 2025-2026 | Placement Interview Problems with Solutions

BYJU’S coding round evaluates DSA and problem-solving for edtech and product engineering roles. The process usually includes an online assessment (90 minutes or similar) with 2–3 coding problems (easy to medium) and sometimes MCQs. They test arrays, strings, hash maps, and basic algorithms; system design may appear in later rounds. Practice timed coding and explaining your approach.

BYJU'S Coding Round at a Glance

Format: OA with 2–3 coding problems (and possibly MCQs). Difficulty: Easy to medium. Topics: Arrays, strings, DSA basics, sometimes system design in interviews. Focus: Correctness, approach, and communication.

Coding Questions - Complete Problem Set

Practice coding interview questions with solutions.

Arrays & Strings

1. Two Sum

def two_sum(nums, target):
    seen = {}
    for i, num in enumerate(nums):
        if target - num in seen:
            return [seen[target - num], i]
        seen[num] = i
    return []

2. Valid Parentheses

def is_valid(s):
    stack = []
    mapping = {')': '(', '}': '{', ']': '['}
    for char in s:
        if char in mapping:
            top = stack.pop() if stack else '#'
            if mapping[char] != top:
                return False
        else:
            stack.append(char)
    return not stack

3. Reverse String

def reverse_string(s):
    return s[::-1]

4. Palindrome Check

def is_palindrome(s):
    s = ''.join(c.lower() for c in s if c.isalnum())
    return s == s[::-1]

5. Merge Intervals

def merge(intervals):
    intervals.sort(key=lambda x: x[0])
    merged = []
    for interval in intervals:
        if not merged or merged[-1][1] < interval[0]:
            merged.append(interval)
        else:
            merged[-1][1] = max(merged[-1][1], interval[1])
    return merged

6. Maximum Subarray

def max_subarray(nums):
    max_sum = current_sum = nums[0]
    for num in nums[1:]:
        current_sum = max(num, current_sum + num)
        max_sum = max(max_sum, current_sum)
    return max_sum

7. LRU Cache

from collections import OrderedDict

class LRUCache:
    def __init__(self, capacity):
        self.cache = OrderedDict()
        self.capacity = capacity

    def get(self, key):
        if key not in self.cache:
            return -1
        self.cache.move_to_end(key)
        return self.cache[key]

    def put(self, key, value):
        if key in self.cache:
            self.cache.move_to_end(key)
        self.cache[key] = value
        if len(self.cache) > self.capacity:
            self.cache.popitem(last=False)

Company-Specific Focus Areas

BYJU’S frequently tests arrays (two sum, subarray, merge intervals), strings (validation, palindrome, manipulation), hash maps and sets, and basic DP or greedy. Edtech roles may also involve system design (e.g. video streaming, content delivery) in technical rounds. Prioritize clear code and explaining trade-offs; time management in the OA is important.

Related Resources

Interview Experience

Real interview experiences.

Preparation Guide

Complete preparation strategy.

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Practice these problems and focus on arrays, strings, and DSA basics for BYJU’S OA and technical rounds.

Last updated: February 2026