Coding questions
Practice problems with approaches.
How to Prepare for Uber
Uber is DSA-heavy with marketplace/routing flavor in later rounds. OA clears most people out - treat it as the priority.
What Uber actually tests
Section titled “What Uber actually tests”First round: Uber OA + technical interviews
Time split that matches how candidates report outcomes (not a marketing pie chart):
- DSA 50%
- CS + projects 25%
- Behavioral 15%
- Mocks 10%
Patterns are from student reports and vary by role and drive. Trust your college placement email over blog folklore.
Hiring flow you should prep for
Section titled “Hiring flow you should prep for”| Stage | Time | What they check |
|---|---|---|
| OA | timed | DSA |
| Tech loops | multiple | Coding + design depth by level |
| HR / team | varies | Fit |
Time allocation
Section titled “Time allocation”- Data Structures & Algorithms (40% time) - Practice 200+ problems on LeetCode focusing on arrays, graphs, trees, dynamic programming
- System Design (25% time) - Study distributed systems, microservices, databases, caching for senior roles
- Coding Practice (20% time) - Solve Uber-tagged problems on LeetCode, practice on HackerRank
- Interview Preparation (15% time) - Mock interviews, behavioral questions, Uber culture research
Daily loop (75-120 minutes)
Section titled “Daily loop (75-120 minutes)”- One timed block that matches Uber’s first round (coding OA)
- Log misses: topic + why you failed (speed, concept, carelessness)
- Re-solve yesterday’s misses cold
- Twice a week: 10 minutes of resume/project narration out loud
8-Week product-company plan
Section titled “8-Week product-company plan”| Week | Focus | Exit criteria |
|---|---|---|
| 1-2 | Core DSA (arrays, hashing, strings) | Timed easy→medium comfort |
| 3-4 | Trees, graphs, recursion | Explain traversals + complexity |
| 5-6 | DP + company-flavored mocks | 2-problem mock passes |
| 7 | Projects + CS fundamentals | Resume bullets defended |
| 8 | Behavioral + polish | No new topics; only closure |
Round-by-round strategy
Section titled “Round-by-round strategy”Online Assessment
Section titled “Online Assessment”- Order problems by confidence after a 3-4 minute skim
- Passing test cases beats a brilliant half-solution
- Invent edge cases before submit; watch timeboxes
Technical interviews
Section titled “Technical interviews”- Restate → brute force → optimize → code → test
- Defend edge cases and code clarity.
- Tie CS answers to a project when it strengthens the point
HR / managerial
Section titled “HR / managerial”- Why Uber, why this team/role, location flexibility
- STAR with a metric; pick 2-3 real company values and prepare proof
Uber-specific drills
Section titled “Uber-specific drills”- Graphs, heaps, DP, hashing
- Dispatch/matching reasoning at interview depth
Topic checklist
Section titled “Topic checklist”- Medium DSA fluency
- Clean code + edge cases
- OOPs + DBMS basics
- Measurable project stories
- Domain scenarios for this product
- API/design intuition at fresher depth
- Full-length mock every other day
- Light revision only - no new rabbit holes
- Sleep, ID proofs, machine/network checklist for test day
Final stretch
Section titled “Final stretch”30 days out: weekly full OA-style mocks; close weak DSA patterns; draft STAR stories.
7 days out: alternate mock / review days; re-solve misses cold; no new patterns.
Day before: skim notes, check machine/network/ID logistics, sleep.
Common mistakes for Uber aspirants
Section titled “Common mistakes for Uber aspirants”- Weak graph/optimization instincts and fuzzy system answers - fix this first
- Preparing only interviews while failing Uber’s first round
- Collecting notes without timed mocks
- Listing five frameworks on the resume and defending none
- Changing language/stack one week before the drive
- Domain buzzwords without engineering reasoning
Practice on placementpapers.app
Section titled “Practice on placementpapers.app”- Uber aptitude / mock quiz
- Uber coding questions
- Uber online assessment
- Uber interview experience
- Uber previous year papers
- Uber 2026 guide
- Uber hub
- PDF: Uber Placement Papers PDF (2026)
Related resources
Section titled “Related resources”Interview experience
What rounds look like after the test.
2026 guide
Year-focused pattern notes.
Uber hub
Eligibility, process, salary context.
Similar companies
Section titled “Similar companies”Google · Amazon · Microsoft · Ola · Swiggy · Zomato
Next step: Run one timed mock this week that matches Uber’s first round (coding OA), then build the weeks around your weakest section - not around what is most fun to study.