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I was interviewed in Dec 2024.
Closures are functions that have access to variables from their containing scope even after the scope has closed.
Closures allow functions to 'remember' the environment in which they were created
They can access variables from their outer function even after the outer function has finished executing
Closures are commonly used in event handlers and callbacks
Hoisting is a JavaScript mechanism where variable and function declarations are moved to the top of their containing scope during the compilation phase.
Variables and functions are hoisted to the top of their scope.
Only declarations are hoisted, not initializations.
Function declarations are hoisted before variable declarations.
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I applied via Job Portal and was interviewed before Apr 2023. There were 3 interview rounds.
Puzzle based questions and Math problems
Given a laptop and problem statement. Had to solve problems at eclipse.
2 easy 1 medium coding questions
Linked list code for tasks
Create a linked list class
Implement add, remove, and search methods
Use the linked list to perform the tasks
I applied via Naukri.com and was interviewed in Oct 2023. There were 5 interview rounds.
I want to switch to SDET role to challenge myself, learn new skills, and contribute to the development of high-quality software.
I am motivated to switch to an SDET role because I enjoy problem-solving and have a passion for ensuring software quality.
Being an SDET allows me to work closely with developers, testers, and other stakeholders to create efficient and reliable software.
Learning is a key aspect of the SDET role...
Count consecutive characters in a string and return the count next to the character.
Iterate through the string and keep track of consecutive characters and their counts.
Use a dictionary to store the characters and their counts.
Return the characters and their counts in the desired format.
Find the second highest repeated integer in a list.
Iterate through the list and count the frequency of each integer.
Sort the frequencies in descending order and return the second highest frequency.
Handle edge cases like when there is no second highest frequency.
The program takes a string as input and capitalizes the first letter of each reversed word while keeping the rest of the letters in lowercase.
Split the input string into an array of words using the space as a delimiter
Iterate through each word in the array
Reverse the word and capitalize the first letter
Join the modified words back into a single string with spaces in between
posted on 30 Aug 2023
I applied via Campus Placement and was interviewed before Aug 2022. There were 2 interview rounds.
Online or offline classes which is better
posted on 19 Apr 2024
I applied via LinkedIn and was interviewed in Mar 2024. There was 1 interview round.
Design a Least Recently Used cache system.
Implement a doubly linked list to keep track of the order of usage of cache items.
Use a hashmap to store key-value pairs for quick access to cache items.
When a new item is accessed, move it to the front of the linked list. If the cache is full, remove the least recently used item from the end of the list.
I applied via Job Portal and was interviewed before Jan 2024. There were 3 interview rounds.
A general topic was provided.
Basic aptitude questions.
2 Medium level DSA question
Use the exponentiation by squaring algorithm to optimally find n^m.
Use the exponentiation by squaring algorithm to reduce the number of multiplications needed.
Divide the exponent by 2 and recursively calculate the result.
Handle the cases when the exponent is even or odd separately.
Example: n^5 = n * n^2 * n^2
The edit distance problem involves finding the minimum number of operations required to transform one string into another.
The edit distance problem can be solved using dynamic programming.
Common operations include insertion, deletion, and substitution of characters.
Example: Given strings 'kitten' and 'sitting', the edit distance is 3 (substitute 'k' with 's', insert 'g', substitute 'n' with 'g').
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