iOS Engineering Interview Course

Sorting

• Introduction to Sorting
• Basics of Asymptotic Analysis and Worst Case & Average Case Analysis
• Different Sorting Algorithms and their comparison
• Algorithm paradigms like Divide & Conquer, Decrease & Conquer, Transform & Conquer
• Presorting
• Extensions of Merge Sort, Quick Sort, Heap Sort
• Common sorting-related coding interview problems

Recursion

• Recursion as a Lazy Manager's Strategy
• Recursive Mathematical Functions
• Combinatorial Enumeration
• Backtracking
• Exhaustive Enumeration & General Template
• Common recursion- and backtracking-related coding interview problems

Trees

• Dictionaries & Sets, Hash Tables 
• Modeling data as Binary Trees and Binary Search Tree and performing different operations over them
• Tree Traversals and Constructions 
• BFS Coding Patterns
• DFS Coding Patterns
• Tree Construction from its traversals 
• Common trees-related coding interview problems

Graphs

• Overview of Graphs
• Problem definition of the 7 Bridges of Konigsberg and its connection with Graph theory
• What is a graph, and when do you model a problem as a Graph?
• How to store a Graph in memory (Adjacency Lists, Adjacency Matrices, Adjacency Maps)
• Graphs traversal: BFS and DFS, BFS Tree, DFS stack-based implementation
• A general template to solve any problems modeled as Graphs
• Graphs in Interviews
• Common graphs-related coding interview problems

Online Processing Systems

• The client-server model of Online processing
• Top-down steps for system design interview
• Depth and breadth analysis
• Cryptographic hash function
• Network Protocols, Web Server, Hash Index
• Scaling
• Performance Metrics of a Scalable System
• SLOs and SLAs
• Proxy: Reverse and Forward
• Load balancing
• CAP Theorem
• Content Distribution Networks
• Cache
• Sharding
• Consistent Hashing
• Storage
• Case Studies: URL Shortener, Instagram, Uber, Twitter, Messaging/Chat Services

Batch Processing Systems

• Inverted Index
• External Sort Merge
• K-way External Sort-Merge
• Distributed File System
• Map-reduce Framework
• Distributed Sorting
• Case Studies: Search Engine, Graph Processor, Typeahead Suggestions, Recommendation Systems

Module1 - UI Programming 

• Deep dive into life-cycle intricacies
• Interesting interview questions around App life-cycle and View life-cycle, e.g., Explain the difference between Inactive, Backgrounded, and Suspended app states. 

• Challenging interview questions on Design patterns: MVC, MVVM, MVP, VIPER, RIBs, etc.; When to use which design pattern? Pros and cons of each of these
• Refactoring code from one design pattern to another

• Challenging UI design questions involving usage of TableViews, Collection Views, StackViews and Auto-constraints
• How to write clean/organized, reusable code
• Deep dive into building custom views using TableViews, Collection Views, and StackViews
• Questions and case study around DiffableDataSource

• Common interview questions on UIResponder and UIGesture

Module 2 - Performantly Fetching and Handling Data 

• Deep dive into implementing concurrency while building iOS applications involving concepts like GCD, Operations, async/await

• Interesting interview questions around making Network Requests and handling responses
• Challenging design questions involving making paginated network calls. e.g., Strategies to reduce load time for the TikTok application.
• Interesting interview questions around the concepts of Deep-Linking 

Module 3 - Data Persistence

• A detailed discussion of data persistence strategies through interview questions. E.g. Designing offline features for the WhatsApp application. 
• Challenging design questions involve the following: 
• Data persistence through multiple app launches. 
• Data persistence for 1 app life cycle or less.
• Use of Key-chain, Core Data, User Defaults, etc 
• Questions related to caching: when to cache? Which database to use for caching? 
• Commonly asked interview questions around memory management, memory leaks, ARC, etc.

15 mock interviews

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