Data Structures & Algorithms Interview Questions

Review this list of 261 data structures & algorithms interview questions and answers verified by hiring managers and candidates.
  • " Compare alternate houses i.e for each house starting from the third, calculate the maximum money that can be stolen up to that house by choosing between: Skipping the current house and taking the maximum money stolen up to the previous house. Robbing the current house and adding its value to the maximum money stolen up to the house two steps back. package main import ( "fmt" ) // rob function calculates the maximum money a robber can steal func maxRob(nums []int) int { ln"

    VContaineers - " Compare alternate houses i.e for each house starting from the third, calculate the maximum money that can be stolen up to that house by choosing between: Skipping the current house and taking the maximum money stolen up to the previous house. Robbing the current house and adding its value to the maximum money stolen up to the house two steps back. package main import ( "fmt" ) // rob function calculates the maximum money a robber can steal func maxRob(nums []int) int { ln"See full answer

    Data Engineer
    Data Structures & Algorithms
    +4 more
  • Amazon logoAsked at Amazon 
    +3

    "Inorder traversal of the tree should be the solution for this problem."

    Balasubramanian R. - "Inorder traversal of the tree should be the solution for this problem."See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Databricks logoAsked at Databricks 

    "Constraints: 4-direction moves; no mode switching (pick exactly one of {1=bicycle, 2=bike, 3=car, 4=bus} for the full trip). Per-mode search: If a mode’s per-step time/cost are uniform, run BFS on allowed cells. Then totaltime = steps × timeperstep, tie-break by steps × costper_step. If time/cost vary by cell (given matrices), run Dijkstra per mode minimizing (totaltime, totalcost) lexicographically. Maintain the best ⟨time, cost⟩ per cell; relax when the new pair is strictly better. S"

    Rahul J. - "Constraints: 4-direction moves; no mode switching (pick exactly one of {1=bicycle, 2=bike, 3=car, 4=bus} for the full trip). Per-mode search: If a mode’s per-step time/cost are uniform, run BFS on allowed cells. Then totaltime = steps × timeperstep, tie-break by steps × costper_step. If time/cost vary by cell (given matrices), run Dijkstra per mode minimizing (totaltime, totalcost) lexicographically. Maintain the best ⟨time, cost⟩ per cell; relax when the new pair is strictly better. S"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Microsoft logoAsked at Microsoft 

    "Sorted the array and stored the minimum difference in a variable and then traversed the array for the pairs having minimum difference"

    Aashka C. - "Sorted the array and stored the minimum difference in a variable and then traversed the array for the pairs having minimum difference"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • +11

    "Would be better to adjust resolution in the video player directly."

    Anonymous Prawn - "Would be better to adjust resolution in the video player directly."See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
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  • +45

    "#include #include #include using namespace std; vector diff(const vector& A, const vector& B) { unordered_set elements; vector result; for (const auto& element : A) { elements.insert(element); } for (const auto& element : B) { if (elements.find(element) == elements.end()) { result.push_back(element); } else { elements.erase(element); } } for"

    Chinmay S. - "#include #include #include using namespace std; vector diff(const vector& A, const vector& B) { unordered_set elements; vector result; for (const auto& element : A) { elements.insert(element); } for (const auto& element : B) { if (elements.find(element) == elements.end()) { result.push_back(element); } else { elements.erase(element); } } for"See full answer

    Data Structures & Algorithms
    Coding
  • Apple logoAsked at Apple 
    +23

    "we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"

    Kishor J. - "we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • "Batch Packing Problem In Amazon’s massive warehouse inventory, there are different types of products. You are given an array products of size n, where products[i] represents the number of items of product type i. These products need to be packed into batches for shipping. The batch packing must adhere to the following conditions: No two items in the same batch can be of the same product type. The number of items packed in the current batch must be strictly greater than the number pack"

    Anonymous Goat - "Batch Packing Problem In Amazon’s massive warehouse inventory, there are different types of products. You are given an array products of size n, where products[i] represents the number of items of product type i. These products need to be packed into batches for shipping. The batch packing must adhere to the following conditions: No two items in the same batch can be of the same product type. The number of items packed in the current batch must be strictly greater than the number pack"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Adobe logoAsked at Adobe 

    "Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."

    Gaston B. - "Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Adobe logoAsked at Adobe 
    +25

    "#inplace reversal without inbuilt functions def reverseString(s): chars = list(s) l, r = 0, len(s)-1 while l < r: chars[l],chars[r] = chars[r],chars[l] l += 1 r -= 1 reversed = "".join(chars) return reversed "

    Anonymous Possum - "#inplace reversal without inbuilt functions def reverseString(s): chars = list(s) l, r = 0, len(s)-1 while l < r: chars[l],chars[r] = chars[r],chars[l] l += 1 r -= 1 reversed = "".join(chars) return reversed "See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • +2

    "The goal is to balance parentheses in a given string by removing the fewest characters possible. The balanced string should ensure that each opening parenthesis ( has a corresponding closing parenthesis ) and that all pairs are properly nested. Approach To achieve this, we can use a combination of a stack and a set to track unmatched parentheses: Stack: The stack will be used to record the indices of unmatched opening parentheses ( as we traverse the string. Set: We will"

    Victoria G. - "The goal is to balance parentheses in a given string by removing the fewest characters possible. The balanced string should ensure that each opening parenthesis ( has a corresponding closing parenthesis ) and that all pairs are properly nested. Approach To achieve this, we can use a combination of a stack and a set to track unmatched parentheses: Stack: The stack will be used to record the indices of unmatched opening parentheses ( as we traverse the string. Set: We will"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Atlassian logoAsked at Atlassian 
    Video answer for 'How would you store a list of numbers as a single number?'
    +7

    "First thing the interviewee did wrong is not asking clarifying questions. This is the most vague problem I have every heard, and the interviewee just made assumptions and started programming."

    Nicholas S. - "First thing the interviewee did wrong is not asking clarifying questions. This is the most vague problem I have every heard, and the interviewee just made assumptions and started programming."See full answer

    Engineering Manager
    Data Structures & Algorithms
    +2 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    Video answer for 'Merge Intervals'
    +42

    "const mergeIntervals = (intervals) => { const compare = (a, b) => { if(a[0] b[0]) return 1 else if(a[0] === b[0]) { return a[1] - b[1] } } let current = [] const result = [] const sorted = intervals.sort(compare) for(let i = 0; i = b[0]) current[1] = b[1] els"

    Kofi N. - "const mergeIntervals = (intervals) => { const compare = (a, b) => { if(a[0] b[0]) return 1 else if(a[0] === b[0]) { return a[1] - b[1] } } let current = [] const result = [] const sorted = intervals.sort(compare) for(let i = 0; i = b[0]) current[1] = b[1] els"See full answer

    Software Engineer
    Data Structures & Algorithms
    +6 more
  • Adobe logoAsked at Adobe 
    Video answer for 'Explain how to find a target sum in an array.'
    +5

    "a top-down recursive solution with memoization in python: from typing import List from functools import cache def changeSigns(nums: List[int], S: int) -> int: @cache def dp(i, curr_sum): if i == len(nums): if curr_sum == S: return 1 return 0 return dp(i+1, currsum + nums[i]) + dp(i+1, currsum - nums[i]) answer = dp(0, 0) if answer == 0: return -1 return answer `"

    Jessica R. - "a top-down recursive solution with memoization in python: from typing import List from functools import cache def changeSigns(nums: List[int], S: int) -> int: @cache def dp(i, curr_sum): if i == len(nums): if curr_sum == S: return 1 return 0 return dp(i+1, currsum + nums[i]) + dp(i+1, currsum - nums[i]) answer = dp(0, 0) if answer == 0: return -1 return answer `"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • "I would assume that this is similar to an intervals question. Meeting Rooms II (https://www.lintcode.com/problem/919/?fromId=203&_from=collection) on Leetcode seems like the closest comparison, it's a premium question so I linked Lintcode. I'm assuming that we also need to just return the minimum number of cars used. You need to sort for the most optimal solution, so you're constrained by an O(nlogn) time complexity. So any sorting solution could work (using a heap, sorting the array input arra"

    Sohum S. - "I would assume that this is similar to an intervals question. Meeting Rooms II (https://www.lintcode.com/problem/919/?fromId=203&_from=collection) on Leetcode seems like the closest comparison, it's a premium question so I linked Lintcode. I'm assuming that we also need to just return the minimum number of cars used. You need to sort for the most optimal solution, so you're constrained by an O(nlogn) time complexity. So any sorting solution could work (using a heap, sorting the array input arra"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Software Engineer
    Data Structures & Algorithms
    +1 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    +2

    "Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."

    דניאל ר. - "Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • +1

    "1 - Oder list of Kid Position and Sellers Positions (ascending) 2 - Implement a method to check distant 'e' for every kid pos (finding nearest seller and checking if sellerpos - currkid_pos < e, for all kid pos) 3 - Calculate mid from 0 to the 'max post' in between both kids and seller list: (max(max(k) -min(k), max(s) - min(s))) 4 - Perform binary search to find distance 'e' that satisfy step '2'"

    Alejandro C. - "1 - Oder list of Kid Position and Sellers Positions (ascending) 2 - Implement a method to check distant 'e' for every kid pos (finding nearest seller and checking if sellerpos - currkid_pos < e, for all kid pos) 3 - Calculate mid from 0 to the 'max post' in between both kids and seller list: (max(max(k) -min(k), max(s) - min(s))) 4 - Perform binary search to find distance 'e' that satisfy step '2'"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Apple logoAsked at Apple 
    +19

    "function isValid(s) { const stack = []; for (let i=0; i < s.length; i++) { const char = s.charAt(i); if (['(', '{', '['].includes(char)) { stack.push(char); } else { const top = stack.pop(); if ((char === ')' && top !== '(') || (char === '}' && top !== '{') || (char === ']' && top !== '[')) { return false; } } } return stack.length === 0"

    Tiago R. - "function isValid(s) { const stack = []; for (let i=0; i < s.length; i++) { const char = s.charAt(i); if (['(', '{', '['].includes(char)) { stack.push(char); } else { const top = stack.pop(); if ((char === ')' && top !== '(') || (char === '}' && top !== '{') || (char === ']' && top !== '[')) { return false; } } } return stack.length === 0"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Software Engineer
    Data Structures & Algorithms
    +1 more
Showing 21-40 of 261