10 MUST-KNOW LeetCode Company-Wise Questions & Patterns To Crack FAANG In 2025

The landscape of software engineering interviews is constantly evolving, but one truth remains: mastering LeetCode company-wise questions is the fastest way to land a job at a top-tier tech firm. As of December 2025, the focus has shifted slightly, moving away from obscure algorithms towards a deeper understanding of core Data Structures and Algorithms (DSA) applied to real-world system design challenges, often categorized by specific patterns.

This comprehensive guide breaks down the most frequently asked LeetCode problems and the critical coding patterns you must master for companies like Amazon, Google, Meta, and Microsoft. By focusing your study on these targeted lists and patterns, you can drastically reduce your preparation time and ensure you are ready for the latest interview trends of 2025.

The Top 10 Essential LeetCode Patterns for FAANG Interviews (2025 Update)

Instead of memorizing hundreds of individual problems, the most effective strategy for 2025 is to master the underlying algorithmic *patterns*. Top tech companies, especially those known as FAANG (Meta, Amazon, Apple, Netflix, Google), consistently use these 10 patterns to test a candidate's problem-solving skills.

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• Two Pointers: Excellent for efficiently traversing arrays or linked lists, often used to solve problems like "Two Sum II" or "Container With Most Water." This is a staple for almost every major company.
• Sliding Window: Crucial for optimizing array/string problems that involve a sub-array or sub-string of a fixed or variable size. Companies like Amazon and Google frequently test this for efficiency.
• Depth First Search (DFS) & Breadth First Search (BFS): The foundation for Tree and Graph traversal. DFS is common for pathfinding and recursion, while BFS is typically used for shortest path problems (like "Number of Islands").
• Binary Search: Not just for sorted arrays, but for problems where the search space can be halved (e.g., searching on an answer or "Median of Two Sorted Arrays"). Microsoft and Google value proficiency here.
• Dynamic Programming (DP): The hardest pattern, but non-negotiable for senior roles at Google and Meta. Focus on the "Knapsack" and "Coin Change" variations.
• Greedy Algorithms: Used when a locally optimal choice leads to a globally optimal solution. Amazon frequently tests this in its Online Assessments (OA).
• Merge Intervals: A specific pattern for managing overlapping time slots or ranges, a common requirement in scheduling and calendar problems.
• Trie (Prefix Tree): Essential for problems involving string prefixes, auto-complete, and dictionary lookups, often seen at companies with large data processing needs.
• Heap/Priority Queue: Used to maintain the K-largest or K-smallest elements efficiently, a core concept in system design and data stream processing.
• Backtracking: Necessary for generating all possible solutions to a problem, such as permutations, combinations, and subsets. Meta (Facebook) has historically favored these types of questions.

Deep Dive: LeetCode Question Focus by Top Tech Company (2025)

While the core patterns remain consistent, each major company has a unique flavor and preferred difficulty level. Preparing effectively means tailoring your Blind 75 or Grind 75 list to match the specific demands of your target firm.

Amazon (Focus: Arrays, Linked Lists, and Operational Efficiency)

Amazon's interviews, especially the initial Online Assessments (OA), heavily emphasize Arrays, Linked Lists, and Greedy Algorithms at the Easy to Medium difficulty level. The goal is to test foundational competence and the ability to write clean, operational code. Senior roles (SDE II and above) will see more complex Graph and Dynamic Programming problems.

• Key Topics: Arrays, Linked List manipulation (e.g., "Merge Two Sorted Lists," "Max Pair Sum in a Linked List"), Binary Search, and basic Trees.
• Difficulty Bias: High volume of Easy/Medium.
• LSI Keywords: Amazon OA Questions 2025, SDE Interview Questions, Amazon Most Frequent DS & Algo Questions.

Google (Focus: Harder Graphs, DP, and System Design Integration)

Google interviews are known for their complexity and focus on the deeper, more theoretical aspects of DSA. They are less about the standard template and more about creative problem-solving. Dynamic Programming and complex Graph algorithms are common, often requiring a unique twist or a combination of two patterns.

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• Key Topics: Harder Trees (e.g., "LCA," "BST validation"), Advanced Graph Algorithms (e.g., Dijkstra, topological sorting), and challenging DP problems.
• Difficulty Bias: Medium/Hard.
• LSI Keywords: Google Interview Questions Compilation, Google LeetCode 2024, Advanced Graph Algorithms.

Meta (Focus: Trees, Graphs, and Backtracking/Permutations)

Meta (formerly Facebook) places a strong emphasis on Trees and Graphs, especially those involving BFS and DFS. They are also notorious for questions that require Backtracking to find all possible solutions (e.g., "Subsets," "Permutations," "Combinations").

• Key Topics: Tree Traversals, Backtracking, and problems involving data stream processing using Heaps/Priority Queues.
• Difficulty Bias: High volume of Medium.
• LSI Keywords: META's Most Asked Coding Interview Questions, Facebook LeetCode List, Backtracking Problems.

Other Major Tech Entities & Their Focus

Preparation should not be limited to FAANG. Companies like Microsoft, IBM, Intuit, and Salesforce also have distinct preferences, often accessible via a LeetCode Premium company list.

• Microsoft: Often focuses on Arrays, Strings, and Binary Search. They tend to favor problems that are well-defined and test fundamental data structures.
• IBM & Intuit: Frequently ask questions related to Array manipulation and Dynamic Programming, with a specific interest in patterns like the "132 Pattern."
• Salesforce: Shows a preference for problems solvable with Math and Dynamic Programming, such as "2 Keys Keyboard."
• Bloomberg, Nutanix, Urban Company: These firms often test core BFS/DFS skills, especially in matrix traversal problems like "Number of Islands."

The Strategic Approach: How to Use Company-Wise Lists Effectively

Simply having access to the "Company Wise LeetCode Questions List 2025" is not enough; your preparation strategy must be intelligent and targeted. This is where topical authority and understanding the flow of the interview process come into play.

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1. Prioritize Recency Over Volume

The most valuable data comes from questions asked in the last 30 to 90 days. Interviewers rotate questions, and focusing on the most recent set is a high-yield strategy. Many online repositories categorize problems by recency—leverage this feature to practice the most current variations of classic problems.

2. Master the Core DSA Before the Company List

Before diving into the Amazon-specific list, ensure you have a solid grasp of fundamental Data Structures and Algorithms (DSA)—Arrays, Hash Maps, Linked Lists, Trees, and Graphs. The company lists are a final-stage filter, not your starting point. Use resources like the Grokking the Coding Interview patterns course if LeetCode Premium is not an option.

3. Simulate the Interview Environment

When practicing company-specific questions, treat them as a mock interview. Don't just find the optimal solution; practice articulating your thought process, clarifying requirements, outlining a plan, and analyzing time/space complexity.

4. Don't Ignore SQL and System Design

While LeetCode is primarily for coding, many top companies integrate SQL and System Design questions into their technical rounds. For example, a question might require a coding solution followed by a discussion on how to scale that solution in a distributed system. A holistic approach to interview preparation, combining DSA with these other disciplines, is essential for securing a high-level offer in 2025.