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.
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.
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’.
Linked List: A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations.
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.
Searching: Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.
Sorting: The sorting Algorithm is used to rearrange a given array or list of elements according to a comparison operator on the elements.
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
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.
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”).
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.
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.
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.
Feeling lost in the world of random DSA topics, wasting time without progress? It's time for a change! Join our DSA course, where we'll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 geeks!