Google Interview Questions 2026 - SWE DSA Prep

Overview

Google tends to ask problems that test clean reasoning, strong fundamentals, and the ability to optimize from a brute-force approach to an elegant solution. For a website module, Google should feel like a high-signal preparation page with the most repeated patterns, a curated must-do list, and a clear strategy for how to solve Google-style rounds.

Most-asked topics

Arrays and stringsSliding window and prefix sumBinary searchLinked listsStack and recursionTrees and BSTGraphsHeapsDynamic programmingIntervals and schedulingBacktracking

How to prepare

Master arrays, strings, binary search, recursion, trees, graphs, heaps, and DP.r
Be comfortable with medium problems that combine two patterns.
Practice explaining why a solution is correct, not only how it works.
Expect follow-up questions that change constraints or require an optimization.

Interview Strategy

Google rounds often include at least one problem where the main challenge is finding the right pattern quickly, not just writing code. Recent company-wise summaries show strong recurrence of classic patterns such as sliding window, linked list, heap, stack, binary search, recursion, and graph traversal.

Google-style solving tips

Start with the simplest correct solution.

Identify whether the problem is sorted, state-based, or graph-like.

If there is repetition, think hash map, prefix sum, or DP.

If there is dependency order, think topological sort or tree recursion.

If a search space is monotonic, binary search on answer may apply.

Pattern Map

Recurring patterns you'll see repeatedly in Google rounds. Master these first.

1

Two pointers and sliding window

2

Prefix sum with hash map

3

Heap for top-K or merge problems

4

BFS/DFS for graph and tree traversal

5

Recursive decomposition

6

Binary search on sorted or monotonic answer space

7

Interval merging and meeting-room style scheduling

8

DP for optimization and counting

Interview style	Pattern-heavy, optimization-focused
Top topics	Arrays, strings, graphs, trees, DP, heaps
Best first practice	Sliding window, binary search, DFS/BFS, recursion
Common traps	Missing edge cases, weak proof, wrong optimization
High-value problem types	Merged patterns, follow-ups, design-lite questions
Prep goal	Recognize pattern fast and justify solution cleanly

Must-Solve Problems

Curated Google-style problem set — grouped by topic bucket. All links are free on LeetCode.

Arrays and Strings10

Binary Search6

Linked List6

Stack and Recursion6

Trees8

Graphs6

Heaps5

Dynamic Programming7

Backtracking5

Year-Wise Question Trends

The most trustworthy way to present recency for Google is by trend buckets — not fake exact yearly dates.

2026

2026: current Google interview trends and recent most-asked questions.

2025

2025: repeatable Google patterns and evergreen interview staples.

Evergreen

Older evergreen questions: classic problems that remain relevant because Google keeps returning to the same structures.

Practice Set & Revision Checklist

Use this checklist for last-mile revision — tick items as you clear them.

Sliding window on strings and arraysBinary search on sorted arrays and answer spaceBFS/DFS on graphs and treesRecursion and backtracking basicsHeap for top-K and merge problemsDP on counting and optimizationMicrosoft interviews often emphasize clean implementation, medium-to-hard DSA patterns, and strong fundamentals across arrays, strings, linked lists, trees, graphs, heaps, and dynamic programmingFor your site, Microsoft works best as a structured module with a clear topic split, a problem list, and a short prep roadmap that helps users know what to practice first

Google Interview Questions & Placement Prep (2026)