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Two easy questions two wasy questions two easy questions two easy questions
I applied via Referral and was interviewed in Aug 2021. There was 1 interview round.
Find k min elements in given array.
Sort the array and return the first k elements.
Use a min heap of size k to find the k min elements.
Use quickselect algorithm to find the kth smallest element and return first k elements smaller than it.
Check if a given tree is a Binary Search Tree (BST) or not.
Traverse the tree in-order and check if the elements are in ascending order.
Check if the maximum value in the left subtree is less than the root and the minimum value in the right subtree is greater than the root.
Use recursion to check if all subtrees are BSTs.
Time complexity: O(n), Space complexity: O(h) where h is the height of the tree.
Given a BST and a sum, find a pair of nodes whose values add up to the given sum.
Traverse the BST in-order and store the nodes in a list
Use two pointers approach to find the pair with the given sum
If the sum is less than the current pair, move the right pointer to the left
If the sum is greater than the current pair, move the left pointer to the right
If the sum is equal to the current pair, return the pair
Time complexit...
1 coding question, and basic MCQ
I applied via Campus Placement and was interviewed in Oct 2024. There were 2 interview rounds.
Find the largest rectangle containing only 1s in a binary matrix.
Use dynamic programming to track heights of consecutive 1s.
For each row, treat it as a histogram and calculate the maximal rectangle.
Utilize a stack to efficiently compute the largest rectangle in a histogram.
Example: For a matrix [[0,1,1],[1,1,0],[1,1,1]], the largest rectangle has area 4.
Loop in linked list is a situation where a node points to a previous node in the list, creating an infinite loop.
Check for loops using Floyd's cycle detection algorithm
Use two pointers, one moving twice as fast as the other, to detect a loop
If the fast pointer catches up to the slow pointer, there is a loop
I applied via Job Portal
I'm a passionate software engineer with a strong background in full-stack development and a love for problem-solving.
Graduated with a degree in Computer Science from XYZ University.
Worked at ABC Corp, where I developed a web application that improved user engagement by 30%.
Proficient in languages like JavaScript, Python, and Java, with experience in frameworks such as React and Django.
Enjoy collaborating in agile teams...
posted on 10 Sep 2023
It was an easy test. It consisted of MCQs and two coding qns. Prepare SQL well. It also had 2 programming question. Both were medium difficukty
I applied via Company Website and was interviewed in May 2021. There were 5 interview rounds.
I appeared for an interview in Mar 2025, where I was asked the following questions.
Key DSA problems: Next Greater Element, Cycle in Linked List, Stock Trading, and Coin Change.
Next Greater Element: Find the next greater number for each element in an array. Example: For [4, 5, 2, 10], result is [5, 10, 10, -1].
Cycle in Linked List: Detect and remove a cycle using Floyd's Tortoise and Hare algorithm. If a cycle exists, find the start and remove it.
Best Time to Buy and Sell Stocks: Maximize profit by fi...
Retrieve the top 3 salaries from each department and calculate total working hours for each employee using SQL queries.
Use the ROW_NUMBER() function to rank salaries within each department: SELECT *, ROW_NUMBER() OVER (PARTITION BY department_id ORDER BY salary DESC) AS rank FROM employees.
Filter the results to get only the top 3 salaries: WHERE rank <= 3.
To calculate total working hours, use SUM() function: SELECT ...
Valid parentheses check ensures every opening bracket has a corresponding closing bracket in the correct order.
Use a stack to track opening parentheses. Example: '(()' -> push '(', push '(', pop ')' -> stack: ['(']
For each closing parenthesis, check if the stack is not empty and matches the last opened. Example: '()' -> valid.
An empty stack at the end indicates all parentheses were matched. Example: '(()())' -...
Currying is a technique in functional programming where a function with multiple arguments is transformed into a sequence of nested functions, each taking a single argument.
Currying can be achieved using arrow functions in JavaScript.
Arrow functions automatically bind 'this' and do not have their own 'this' value.
Example: const add = a => b => a + b;
Example: const addFive = add(5); const result = addFive(3); // result ...
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