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Apple SDE Sheet: Interview Questions and Answers

Last Updated : 15 Feb, 2024
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Apple is one of the world’s favorite tech brands, holding a tight spot as one of the tech Big Four companies. Apple products have found their way into seemingly every household. The company only hires the best of the best and looks for whip-smart people who will push the envelope when it comes to what personal technology can do. This sheet will assist you to land a job at Apple, we have compiled all the interview questions and answers..

Apple SDE Sheet


Apple recruitment process consists of below mentioned stages:

  • Application: The process starts with an application. Apple asks motivational questions in the application for certain roles.
  • Phone interview (Up to 2 rounds): Standard, informal, 30-minute conversation with a recruiter to assess interest and team fit. The first call maybe with an internal recruiter, then a team leads. He/She might discuss your past projects and your academic and professional achievements.
  • FaceTime Interviews (Up to 5 rounds): 30-minute long 1:1 interviews to assess your technical and behavioral skills.
  • Assessment Test: It is basically a chance to network with Apple employees and learn more about the company while completing exercises-

    • Group exercises: You’ll be asked to solve problems pertaining to the specific team you’re applying for (Siri, Maps, Calendar, etc.) while being observed by Apple employees.
    • Written exercises: You will have to solve an unseen case study problem.
    • Apple roleplay exercise: The group format is intentional in order to test candidates’ public speaking skills. Candidates then break up into smaller groups and answer typical interview questions.
  • Final interview: Onsite interviews typically consist of six hours of back-to-back interviews, typically with two people at a time. candidates are tested for knowledge of algorithms and data structures and are expected to code on a laptop and whiteboard, and show an understanding of system design.

Apple SDE Roadmap


Why this Sheet?

A career at Apple is rewarding both financially and personally. The lucrative salary, employee benefits, and the chance of working with the most brilliant minds in the industry have made Apple one of the most popular employers. We have come up with this sheet to help students aspiring for a career at apple. It covers the most popular and important coding questions ever asked in Apple technical Interviews. It covers most DSA concepts as questions are grouped topic-wise.


Phone Interview: You may receive a mail where “Hi, after reviewing your application, we have shortlisted your profile for the Telephonic Interview.” will be mentioned.

Telephonic Interviews play a crucial role in reducing this barrier. However, there are many advantages of telephonic interviews such as you can appear for the interview from any place as per your convenience or you can refer back to notes, etc. but there are still some complexities and challenges integrated with Telephonic Interviews for which you have to be prepared to get the green flag for final selection.


FaceTime Interview:For the past few years, Online Interviews have seen tremendous popularity Online Job Interviews can be considered the new normal in the recruitment world. Indeed, various leading employers like Google, Microsoft, Amazon, etc. are using online job interviews for their recruitment process. Moreover, an Online Interview seems to be quite comfortable for job seekers as they can attend the interview right from their home or any other preferred place.


Recommended Practice

Coding Interview

Array: An array is a collection of items stored at contiguous memory locations. The idea is to store multiple items of the same type together.

Articles Practice
Cyclically rotate an array by one Solve
Program for array rotation Solve
Adding one to a number represented an an array of digits Solve
Find the missing and repeating number Solve
Product of Array except itself Solve
Find the Number Occurring Odd Number of Times Solve
Round the given number to nearest multiple of 10 Solve
Elements in the Range Solve
Find zeroes to be flipped so that number of consecutive 1’s is maximized Solve
Equilibrium index of an array Solve
Top k numbers in a stream Solve
Rotate a 2D array without using extra space Solve

String: Strings are defined as an array of characters. The difference between a character array and a string is the string is terminated with a special character ‘\0’.

Articles Practice
Program to validate an IP address Solve
Implement Atoi Solve
Program to Check if a Given String is Palindrome Solve
Check whether two strings are anagram of each other Solve
Write a program to print all permutations of a given string Solve
Remove duplicates from a given string Solve
Find Excel column name from a given column number Solve
Length of the longest valid substring Solve
Converting Decimal Number lying between 1 to 3999 to Roman Numerals Solve
Given a sequence of words, print all anagrams together Solve
Longest prefix which is also suffix Solve
Find if an array of strings can be chained to form a circle Solve

Linked List: A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations.

Articles Practice
Delete a Node in Single Linked List Solve
Reverse a linked list Solve
Reverse a Linked List in groups of given size Solve
Check if a linked list is Circular Linked List Solve
Multiply two numbers represented by Linked Lists Solve
Reverse a sublist of linked list Solve
Implement a stack using singly linked list Solve
Convert a given Binary Tree to Doubly Linked List Solve
Length of longest palindrome in linked list Solve
Find length of loop in linked list Solve
Clone a linked list with next and random pointer Solve
Flatten a binary tree into linked list Solve

Stack and Queue:

  • Stack: A stack is a linear data structure in which elements can be inserted and deleted only from one side of the list, called the top. A stack follows the LIFO (Last In First Out) principle.
  • Queue: A queue is a linear data structure in which elements can be inserted only from one side of the list called the rear, and the elements can be deleted only from the other side called the front. The queue data structure follows the FIFO (First In First Out) principle.
Articles Practice
Implement Stack using Queues Solve
Design a stack that supports getMin() in O(1) time and O(1) extra space Solve
Length of the longest valid substring Solve
Reversing a Queue Solve
Find the first circular tour that visits all petrol pumps Solve
Clone a stack without extra space Solve
Minimum time required to rot all oranges Solve
Maximum size rectangle binary sub-matrix with all 1s Solve
The Celebrity Problem Solve
The Stock Span Problem Solve

Searching: Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.

Articles Practice
Find last index of a character in a string Solve
Number of pairs in an array with the sum greater than 0 Solve
Majority Element Solve
Find a peak element Solve
Find the transition point in a binary array Solve
Find common elements in three sorted arrays Solve
Leaders in an array Solve
Find a pair with the given difference Solve
Find bitonic point in given bitonic sequence Solve
Capacity To Ship Packages Within D Days Solve

Sorting: The sorting Algorithm is used to rearrange a given array or list of elements according to a comparison operator on the elements.

Articles Practice
QuickSort Solve
Sort in a specific order Solve
K’th Smallest/Largest Element in Unsorted Array Solve
Sort an array of 0s, 1s and 2s Solve
Count Inversions in an array Solve
Find a triplet that sums to a given value Solve
Find subarray with given sum Solve
Chocolate Distribution Problem Solve
The minimum sum of two numbers formed from digits of an array Solve
Largest even number that can be formed by any number of swaps Solve

Hash and Heap:

  • Hash: Hashing is a popular technique for storing and retrieving data as fast as possible.
  • Heap: Heap is a special case of balanced binary tree data structure where the root-node key is compared with its children and arranged accordingly
Articles Practice
Count pairs with a given sum Solve
The longest sub-array having sum k Solve
Zero Sum Subarrays Solve
Union of Two Linked Lists Solve
Check if an array can be divided into pairs whose sum is divisible by k Solve
Longest Consecutive Subsequence Solve
Triplet Sum in Array Solve
Largest subarray of 0’s and 1’s Solve
Merge K sorted Linked lists Solve
Operations on Binary Min Heap Solve

Recursion and Backtracking:

  • Recursion: In recursion, a function calls itself again and again directly or indirectly.
  • Backtracking: In backtracking, we use recursion to explore all the possibilities until we get the best result for the problem.
Articles Practice
Tower Of Hanoi Solve
Recursively remove all adjacent duplicates Solve
Backtracking to find all subsets Solve
Special Keyboard Solve
Rat in a Maze Problem Solve
Generate IP Addresses Solve
Lucky Numbers Solve
m Coloring Problem Solve
Partition array to K subsets Solve
Diagonal Sum of a Binary Tree Solve
Generate n-bit Gray Codes Solve

Tree: A tree is non-linear and a hierarchical data structure consisting of a collection of nodes such that each node of the tree stores a value, a list of references to nodes (the “children”).

Articles Practice
Sorted Array to Balanced BST Solve
Level Order Binary Tree Traversal Solve
Reverse Level Order Traversal Solve
Print level order traversal line by line Solve
Left View of Binary Tree Solve
Boundary Traversal of binary tree Solve
Vertical Traversal of Binary Tree Solve
Check if two Nodes are Cousins Solve
Binary Tree to DLL Solve
Serialize and Deserialize a Binary Tree Solve
Convert a Binary Tree to a Circular Doubly Link List Solve
A program to check if a binary tree is BST or not Solve
Find the node with minimum value in a Binary Search Tree Solve
Lowest Common Ancestor in a Binary Tree Solve
Lowest Common Ancestor in a Binary Search Tree. Solve
Maximum difference between node and its ancestor in Binary Tree Solve

Graph: A Graph is a non-linear data structure consisting of nodes and edges. The nodes are sometimes also referred to as vertices and the edges are lines or arcs that connect any two nodes in the graph.

Articles Practice
Bipartite Graph Solve
Detect cycle in a directed graph Solve
Detect cycle in an undirected graph Solve
Topological sort Solve
Minimum Spanning Tree Solve
Minimum steps to reach target by a Knight Solve
Strongly Connected Components (Kosaraju’s Algo) Solve
Snake and Ladder Problem Solve
Word Boggle Solve
Find whether it is possible to finish all tasks or not from given dependencies Solve
Bridges in a graph Solve
Flood Fill Algorithm Solve

Dynamic Programming: Dynamic Programming is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming.

Articles Practice
Find if a string is interleaved of two other strings Solve
Max rectangle Solve
Palindrome Partitioning Solve
Number of Unique BST with a given key Solve
Boolean Parenthesization Problem Solve
Number of Coins Solve
Egg Dropping Puzzle Solve
Word Break Solve
Wildcard Pattern Matching Solve
Total Decoding Messages Solve
Jump Game Solve
Longest Increasing Subsequence Solve
Painting Fence Algorithm Solve
Count All Palindrome Sub-Strings in a String Solve
Count ways to reach the n’th stair Solve
Burst Balloon to maximize coins Solve

System Design

System Design is the process of designing the architecture, components, and interfaces for a system so that it meets the end-user requirements. System Design for tech interviews is something that can’t be ignored!

Almost every IT giant whether it be Facebook, Amazon, Google, Apple or any other asks various questions based on System Design concepts such as scalability, load-balancing, caching, etc. in the interview.

This specifically designed System Design tutorial will help you to learn and master System Design concepts in the most efficient way from basics to advanced level.

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