Uber Interview Questions 2026 - SDE-1 DSA Prep

Overview

Uber-style questions often combine core DSA with problem-solving under realistic constraints. Public Uber question lists repeatedly show recurring patterns like islands/graphs, merge intervals, BFS/DFS, heap, and string/array basics.

Most-asked topics

From Uber company-wise collections and recent interview summaries, the most repeated topics are:rGraphs and grid traversalArrays and stringsLinked listsHeap / priority queueIntervals and schedulingTrees and BSTDynamic programmingBinary searchBacktrackingHash map / set patterns

How to prepare

Focus on graphs, trees, arrays, strings, heaps, and intervals.
Practice BFS/DFS and shortest-path style thinking.
Be fluent in hashing and sliding window.
Review binary search, recursion, and dynamic programming.

Interview Strategy

Uber interviews often favor candidates who can move quickly from brute force to an optimized solution. Many Uber-tagged problem sets include both easy warmups and medium/hard questions that test graph traversal, two pointers, hashing, and DP.v

Uber-style solving tips

For grid problems, ask whether it is BFS, DFS, or union-find.

For scheduling and time-based problems, think intervals or heaps.

For string questions, use sliding window and hash maps first.

For tree questions, write recursive helper functions cleanly.

For optimization questions, check if the answer space is monotonic.

Pattern Map

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

1

BFS/DFS on islands and grids

2

Shortest path and reachability

3

Merge intervals and meeting-style scheduling

4

Heap for top-K and streaming

5

Sliding window for string problems

6

Hash map counting

7

Tree recursion and traversal

8

Binary search on answer

9

DP on sequences and substrings

Interview style	Practical, medium-heavy, graph-friendly
Top topics	Graphs, intervals, arrays, heaps, trees
Best first practice	BFS/DFS, merge intervals, sliding window, heap
Common traps	Bad visited-state handling, off-by-one, wrong path logic
High-value problem types	Grid traversal, dependency graph, scheduling
Prep goal	Recognize traversal/scheduling patterns fast

Must-Solve Problems

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

Arrays and Strings8

Linked List6

Trees and BST7

Graphs and Grid Problems8

Intervals and Scheduling5

Heaps5

Binary Search5

Dynamic Programming8

Backtracking6

Design-style Uber picks4

Year-Wise Question Trends

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

2026

2026: current Uber pattern collections and recency-based lists.

2025

2025: repeated Uber staples from company-tagged datasets.

Evergreen

Older evergreen questions: classic problems that continue to recur.

Practice Set & Revision Checklist

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

BFS and DFS on gridsInterval merging and schedulingHeap and priority queue basicsTree recursion and BSTSliding window and hashingBinary search and answer-space searchDP on classic interview problemsAdobe interviews often skew toward strong fundamentals with a noticeable emphasis on arrays, strings, stacks, sliding window, binary search, trees, graph basics, and dynamic programmingFor your site, Adobe is a strong company page because it has a clear frequency pattern and enough repeated classics to make a rich, user-friendly module

Uber Interview Questions & Placement Prep (2026)