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Apple Software Engineer Interview Questions

Review this list of 95 Apple Software Engineer interview questions and answers verified by hiring managers and candidates.
  • Apple logoAsked at Apple 
    17 answers
    +12

    "I was able to answer this question and the follow-up questions as well"

    Anonymous Wasp - "I was able to answer this question and the follow-up questions as well"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    12 answers
    +8

    "def find_primes(n): lst=[] for i in range(2,n+1): is_prime=1 for j in range(2,int(i**0.5)+1): if i%j==0: is_prime=0 break if is_prime: lst.append(i) return lst "

    Anonymous Raccoon - "def find_primes(n): lst=[] for i in range(2,n+1): is_prime=1 for j in range(2,int(i**0.5)+1): if i%j==0: is_prime=0 break if is_prime: lst.append(i) return lst "See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    2 answers
    Video answer for 'Given the root of a binary tree of integers, return the maximum path sum.'

    "\# Definition for a binary tree node. class TreeNode: def init(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right class Solution: def maxPathSum(self, root: TreeNode) -> int: self.max_sum = float('-inf')"

    Jerry O. - "\# Definition for a binary tree node. class TreeNode: def init(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right class Solution: def maxPathSum(self, root: TreeNode) -> int: self.max_sum = float('-inf')"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    3 answers

    "It is very easy to shy away and not make a decision because you might feel the right information is not there to make a decision While dealing with ambiguity it is essential to remain Calm. And Establish what it is you want to achieve by asking a lot of questions to the necessary stakeholders Access the risk, analyze the data at hand, ask the right questions, and be very clear and concise in decision-making"

    Satish murthy D. - "It is very easy to shy away and not make a decision because you might feel the right information is not there to make a decision While dealing with ambiguity it is essential to remain Calm. And Establish what it is you want to achieve by asking a lot of questions to the necessary stakeholders Access the risk, analyze the data at hand, ask the right questions, and be very clear and concise in decision-making"See full answer

    Software Engineer
    Behavioral
    +1 more
  • Apple logoAsked at Apple 
    5 answers
    +2

    "def calc(expr): ans = eval(expr) return ans your code goes debug your code below print(calc("1 + 1")) `"

    Sarvesh G. - "def calc(expr): ans = eval(expr) return ans your code goes debug your code below print(calc("1 + 1")) `"See full answer

    Software Engineer
    Data Structures & Algorithms
    +3 more
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  • Apple logoAsked at Apple 
    7 answers
    +4

    "public static void sortBinaryArray(int[] array) { int len = array.length; int[] res = new int[len]; int r=len-1; for (int value : array) { if(value==1){ res[r]= 1; r--; } } System.out.println(Arrays.toString(res)); } `"

    Nitin P. - "public static void sortBinaryArray(int[] array) { int len = array.length; int[] res = new int[len]; int r=len-1; for (int value : array) { if(value==1){ res[r]= 1; r--; } } System.out.println(Arrays.toString(res)); } `"See full answer

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

    "I was a student worker at Gordon's Food Service, Schaumburg, My tasks were vacuuming onion peels, checking expiration dates, cleaning the break room, cleaning the shelves from the Ailes, Stocking stuff on shelves, sweeping the backroom, mopping, Refilling bottles with cleaning supplies and cleaning the fridge glass."

    Amparo L. - "I was a student worker at Gordon's Food Service, Schaumburg, My tasks were vacuuming onion peels, checking expiration dates, cleaning the break room, cleaning the shelves from the Ailes, Stocking stuff on shelves, sweeping the backroom, mopping, Refilling bottles with cleaning supplies and cleaning the fridge glass."See full answer

    Software Engineer
    Behavioral
  • Apple logoAsked at Apple 
    3 answers

    "SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable."

    Ali H. - "SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable."See full answer

    Software Engineer
    Concept
    +7 more
  • Apple logoAsked at Apple 
    30 answers
    +22

    " O(n) time, O(1) space from typing import List def maxsubarraysum(nums: List[int]) -> int: if len(nums) == 0: return 0 maxsum = currsum = nums[0] for i in range(1, len(nums)): currsum = max(currsum + nums[i], nums[i]) maxsum = max(currsum, max_sum) return max_sum debug your code below print(maxsubarraysum([-1, 2, -3, 4])) `"

    Rick E. - " O(n) time, O(1) space from typing import List def maxsubarraysum(nums: List[int]) -> int: if len(nums) == 0: return 0 maxsum = currsum = nums[0] for i in range(1, len(nums)): currsum = max(currsum + nums[i], nums[i]) maxsum = max(currsum, max_sum) return max_sum debug your code below print(maxsubarraysum([-1, 2, -3, 4])) `"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    13 answers
    Video answer for 'Merge k sorted linked lists.'
    +7

    "A much better solution than the one in the article, below: It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods. shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns. My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N)) class ListNode { constructor(val = 0, next = null) { th"

    Guilherme F. - "A much better solution than the one in the article, below: It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods. shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns. My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N)) class ListNode { constructor(val = 0, next = null) { th"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    Add answer
    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    Add answer
    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    1 answer

    "You are working on a SaaS product that currently uses Basic Authentication (username/password) for API and application access. The security and compliance teams have mandated moving to a more secure, modern authentication mechanism — OIDC (OpenID Connect). Design the authentication system migration from Basic Authentication to OIDC. Discuss the architecture changes, the migration approach, and the rollout strategy. What are the technical challenges, impacts on customers, backward compatibility"

    Anonymous Stork - "You are working on a SaaS product that currently uses Basic Authentication (username/password) for API and application access. The security and compliance teams have mandated moving to a more secure, modern authentication mechanism — OIDC (OpenID Connect). Design the authentication system migration from Basic Authentication to OIDC. Discuss the architecture changes, the migration approach, and the rollout strategy. What are the technical challenges, impacts on customers, backward compatibility"See full answer

    Software Engineer
    System Design
  • Apple logoAsked at Apple 
    2 answers

    "Code reviews, automated linting, unit tests, integration tests, validation tests"

    Anonymous Jaguar - "Code reviews, automated linting, unit tests, integration tests, validation tests"See full answer

    Software Engineer
    Behavioral
  • Apple logoAsked at Apple 
    3 answers

    "I'm seeking a role in which I can be continually challenged to devise innovative and streamlined solutions for complex issues, particularly with regard to the persistent soaking problem. I'm excited about the opportunity to not only excel in my own performance but also to empower and enable my colleagues to perform at their absolute best. My goal is to wield my influence and magnetic qualities to not only attract but also retain top-tier engineering talent, all in alignment with our shared objec"

    Anonymous Narwhal - "I'm seeking a role in which I can be continually challenged to devise innovative and streamlined solutions for complex issues, particularly with regard to the persistent soaking problem. I'm excited about the opportunity to not only excel in my own performance but also to empower and enable my colleagues to perform at their absolute best. My goal is to wield my influence and magnetic qualities to not only attract but also retain top-tier engineering talent, all in alignment with our shared objec"See full answer

    Software Engineer
    Behavioral
    +2 more
  • Apple logoAsked at Apple 
    7 answers
    +3

    "This could be done using two-pointer approach assuming array is sorted: left and right pointers. We need track two sums (left and right) as we move pointers. For moving pointers we will move left to right by 1 (increment) when right sum is greater. We will move right pointer to left by 1 (decrement) when left sum is greater. at some point we will either get the sum same and that's when we exit from the loop. 0-left will be one array and right-(n-1) will be another array. We are not going to mo"

    Bhaskar B. - "This could be done using two-pointer approach assuming array is sorted: left and right pointers. We need track two sums (left and right) as we move pointers. For moving pointers we will move left to right by 1 (increment) when right sum is greater. We will move right pointer to left by 1 (decrement) when left sum is greater. at some point we will either get the sum same and that's when we exit from the loop. 0-left will be one array and right-(n-1) will be another array. We are not going to mo"See full answer

    Software Engineer
    Data Structures & Algorithms
    +2 more
  • Apple logoAsked at Apple 
    2 answers

    "Law is my passion. Traveling all over the world in 5 years"

    Moshe S. - "Law is my passion. Traveling all over the world in 5 years"See full answer

    Software Engineer
    Behavioral
    +4 more
  • Software Engineer
    Concept
    +1 more
  • Apple logoAsked at Apple 
    13 answers
    +10

    "from typing import List def traprainwater(height: List[int]) -> int: if not height: return 0 l, r = 0, len(height) - 1 leftMax, rightMax = height[l], height[r] res = 0 while l < r: if leftMax < rightMax: l += 1 leftMax = max(leftMax, height[l]) res += leftMax - height[l] else: r -= 1 rightMax = max(rightMax, height[r]) "

    Anonymous Roadrunner - "from typing import List def traprainwater(height: List[int]) -> int: if not height: return 0 l, r = 0, len(height) - 1 leftMax, rightMax = height[l], height[r] res = 0 while l < r: if leftMax < rightMax: l += 1 leftMax = max(leftMax, height[l]) res += leftMax - height[l] else: r -= 1 rightMax = max(rightMax, height[r]) "See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Apple logoAsked at Apple 
    4 answers
    +1

    "static boolean sudokuSolve(char board) { return sudokuSolve(board, 0, 0); } static boolean sudokuSolve(char board, int r, int c) { if(c>=board[0].length) { r=r+1; c=0; } if(r>=board.length) return true; if(boardr=='.') { for(int num=1; num<=9; num++) { boardr=(char)('0' + num); if(isValidPosition(board, r, c)) { if(sudokuSolve(board, r, c+1)) return true; } boardr='.'; } } else { return sudokuSolve(board, r, c+1); } return false; } static boolean isValidPosition(char b"

    Divya R. - "static boolean sudokuSolve(char board) { return sudokuSolve(board, 0, 0); } static boolean sudokuSolve(char board, int r, int c) { if(c>=board[0].length) { r=r+1; c=0; } if(r>=board.length) return true; if(boardr=='.') { for(int num=1; num<=9; num++) { boardr=(char)('0' + num); if(isValidPosition(board, r, c)) { if(sudokuSolve(board, r, c+1)) return true; } boardr='.'; } } else { return sudokuSolve(board, r, c+1); } return false; } static boolean isValidPosition(char b"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
Showing 41-60 of 95