HomeCoursesDecode the Coding Interview in Scala: Real-World Examples

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Decode the Coding Interview in Scala: Real-World Examples
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The ultimate guide to coding interviews in Scala. Developed by FAANG engineers, practice with real-world interview questions, gain problem-solving skills, and prep faster with proven techniques.
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Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can feel impossible. Fortunately, the best way to be successful in the coding interview is not to just grind through problems. The best way is to develop the skills to break down a new problem and deploy the right tools to come up with a solution. That’s why in this course, you’ll prepare for coding interviews by tackling real world problems faced by tech companies. When you solve real problems related to real projects (for example, paginating attendees in a Zoom call), not only will you have more fun preparing, but you’ll also have an easier time remembering what you’ve learned. After each project, we’ll also show you what kinds of interview problems you’ll now be able to solve using the techniques you just applied, so that your knowledge is adaptable to new problems. (This course is also available in Rust, Java, C++, C#, Go, Python, Ruby, Elixir, Kotlin, Swift, and JavaScript.)
Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can...Show More

WHAT YOU'LL LEARN

Get hands on practice in preparing for coding interviews by tackling real world problem.
Prepare for interviews by solving the frequently asked coding question at companies like FAANG.
Perform an in-depth analysis of commonly asked coding interview problems.
Learn to map real-world problems to actual interview questions.
Get hands on practice in preparing for coding interviews by tackling real world problem.

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Content

389 Lessons195 Challenges

1.

✨Getting Started

2 Lessons

Get familiar with solving real-world problems and mastering coding interview techniques.
Course Overview
Who Should Take This Course?

2.

Netflix

26 Lessons

Get started with implementing Netflix's key features like typo-tolerant searches and buffer management.
Project Description For Netflix
Feature #1: Group Similar Titles
Feature #2: Fetch Top Movies
Feature #3: Find Median Age
Feature #4: Popularity Analysis
Feature #5: Fetch Most Recently Watched Titles
Feature #6: Fetch Most Frequently Watched Titles
Feature #7: Browse Ratings
Feature #8: Verify User Session
Feature #9: Movie Combinations of a Genre
Feature #10: Calculate Median of Buffering Events
Feature #11: Generate Movie Viewing Orders
Feature #12: Maintain Continue Watching Bar
What Did We Learn?
DIY: Group Anagrams
DIY: Merge K Sorted Lists
DIY: Find Median from a Data Stream
DIY: Monotonic Array
DIY: LRU Cache
DIY: LFU Cache
DIY: Min Stack
DIY: Validate Stack Sequences
DIY: Letter Combinations of a Phone Number
DIY: Sliding Window Median
DIY: Permutations
DIY: Maximum Frequency Stack

4.

Search Engine

22 Lessons

Grasp the fundamentals of optimizing search engines through efficient word storage, auto-completion, ranking, and distributed process coordination.
Project Description for Search Engine
Feature #1: Store and Fetch Words
Feature #2: Design Search Autocomplete System
Feature #3: Add White Spaces to Create Words
Feature #4: Suggest Possible Queries After Adding White Spaces
Feature #5: Calculate the Search Ranking Factor
Feature #6: Reorganizing Search Results
Feature #7: Find Searching Time
Feature #8: Distributed Process Coordinator
Feature #9: Finding Minimum Servers
What Did We Learn?
DIY: Implement Trie
DIY: Suggest Relevant Sentences
DIY: Word Break
DIY: Word Break II
DIY: Product of Array Elements Except Itself
DIY: Reorganizing a String
DIY: Exclusive Time of Functions
DIY: Snapshot Array
DIY: Coin Change
DIY: Coin Change 2
DIY: Combination Sum

8.

Amazon

34 Lessons

Sharpen your skills in solving real-world problems related to Amazon's e-commerce features.
Project Description for Amazon
Feature #1: Suggest Items for Free Delivery
Feature #2: Suggest Items for Special Offer
Feature #3: Upselling Products
Feature #4: Copy Product Data
Feature #5: Order Processing Milestones
Feature #6: Products Frequently Viewed Together
Feature #7: Optimize Delivery Cost
Feature #8: Merge Recommendations
Feature #9: Products in Price Range
Feature #10: Calculate the Total Cost of the Shopping Cart Items
Feature #11: Ad Serving
Feature #12: Warehouse and Drop Points
Feature #13: Time-Based Item Price Store
Feature #14: Find Similar Products
What Did We Learn?
DIY: Two Sum
DIY: Three Sum
DIY: 3Sum Closest
DIY: Insert, Delete, and GetRandom in O(1)
DIY: Insert Delete GetRandom O(1) - Duplicates Allowed
DIY: Copy List with Random Pointer
DIY: Find First and Last Position of an Element in Sorted Array
DIY: Find All Anagrams in a String
DIY: Random Pick Index
DIY: Continuous Subarray Sum
DIY: Accounts Merge
DIY: Range Sum of BST
DIY: Basic Calculator II
DIY: Basic Calculator III
DIY: Read N Characters Given Read4 II — Call Multiple Times
DIY: Walls and Gates
DIY: Time-Based Key-Value Store
DIY: Intersection of Two Arrays

10.

Plagiarism Checker

6 Lessons

Break apart building a plagiarism checker, identifying matches, and applying coding interview skills.
Project Description for Plagiarism Checker
Feature #1: Possible Matches
Feature #2: Return Match
What Did We Learn?
DIY: Number of Matching Subsequences
DIY: Minimum Window Subsequence

11.

Network

27 Lessons

Grasp the fundamentals of optimizing network protocols, managing resources, and implementing key features for efficient communication.
Project Description for Network
Feature #1: Total Time
Feature #2: TTL Expiry
Feature #3: Minimum Hops
Feature #4: Maximum Routers
Feature #5: Update VLAN ID
Feature #6: Transmission Error
Feature #7: Divide Files Over the Network
Feature #8: Maximum Clock Skew
Feature #9: Update Configuration
Feature #10: Minimum Variation
Feature #11: Weighted Exponential Back-off
Feature #12: Peak Signal Strength
What Did We Learn?
DIY: Time Needed to Inform All Employees
DIY: All Nodes Distance K in Binary Tree
DIY: Jump Game II
DIY: Longest Increasing Path in a Matrix
DIY: Flood Fill
DIY: Valid Palindrome II
DIY: Partition Labels
DIY: Maximum Difference Between Node and Ancestor
DIY: Rotting Oranges
DIY: Longest Subarray With Absolute Diff Less Than Equal to Limit
DIY: Add Two Numbers
DIY: Add Two Numbers II
DIY: Find Peak Element

13.

Operating System

35 Lessons

Follow the process of implementing key OS features like memory management, process scheduling, and file compression.
Project Description for Operating System
Feature #1: Allocate Space
Feature #2: Resume Process
Feature #3: Schedule Processes
Feature #4: Compress File
Feature #5: Recover Files
Feature #6: File Management System
Feature #7: Serialize and Deserialize File System
Feature #8: Compress File II
Feature #9: File Search
Feature #10: Decode a Message
Feature #11: Directory Iterator
Feature #12: Priority Validation
Feature #13: Reverse Commands
Feature #14: Releasing Process Lock
Feature #15: Queue Reconstruction by Priority
What Did We Learn?
DIY: Subarray Sum Equals K
DIY: Missing Element in a Sorted Array
DIY: Course Schedule
DIY: Course Schedule II
DIY: Sequence Reconstruction
DIY: Concatenated Words
DIY: Minimum Remove to Make Valid Parentheses
DIY: Design Add and Search Words Data Structure
DIY: Serialize and Deserialize N-ary Tree
DIY: String Compression
DIY: Regular Expression Matching
DIY: Wildcard Matching
DIY: 24 Game
DIY: Flatten Nested List Iterator
DIY: Frog Jump
DIY: Queue Reconstruction by Height
DIY: Reverse Words in a String
DIY: Single Element in a Sorted Array

16.

Scrabble 2.0

6 Lessons

Get started with implementing word transformations in a digital Scrabble game using BFS and DFS.
Project Description for Scrabble
Feature #1: Minimum Moves
Feature #2: Possible Results
What Did We Learn?
DIY: Word Ladder I
DIY: Word Ladder II

19.

Computational Biology

21 Lessons

Dig deeper into simulating DNA transformations, detecting viruses, and identifying palindromic protein sequences.
Project Description for Computational Biology
Feature #1: Mutate DNA
Feature #2: Detect Virus
Feature #3: Locate Protein
Feature #4: Identifying Proteins
Feature #5: Mutating a Virus
Feature #6: Identify a Species
Feature #7: Detecting a Protein
Feature #8: Similarity Measure Between DNA Samples
Feature #9: Kth Missing Gene
What Did We Learn?
DIY: String Transforms into Another String
DIY: Longest Substring with At Most K Distinct Characters
DIY: Longest Palindromic Substring
DIY: Valid Palindrome
DIY: Next Permutation
DIY: Longest Substring without Repeating Characters
DIY: Palindrome Permutation
DIY: Palindromic Substrings
DIY: Edit Distance
DIY: Kth Missing Positive Number

24.

Conclusion

1 Lessons

Examine growth in coding and interviews, seek further study, and stay engaged.
Where to Go from Here?
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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