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IBM Interview Questions (178)

Coding problems reported from IBM interviews and online assessments.

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A private sheet of IBM's most asked problems with a two-week finish date.
Questions178
Easy55
Medium105
Hard18
TitleSolutionAcceptDifficultyAsked
Solution57.4%Medium
Last 6 months
1518. Water BottlesVideo
Solution72.6%Easy
Solution51.6%Hard
Last 6 months
2429. Minimize XORVideo
Solution62.4%Medium
Last 6 months
Solution74.6%Medium
Solution67.5%Medium
3024. Type of TriangleVideo
Solution44.1%Easy
51. N-QueensVideo
Solution76.3%Hard
Solution53.7%Medium
Solution54.0%Easy
Solution65.2%Medium
Solution64.8%Easy
268. Missing NumberVideo
Solution72.4%Easy
283. Move ZeroesVideo
Solution64.3%Easy
Solution60.9%Medium
Solution49.2%Medium
Solution83.6%Easy
Solution69.5%Medium
994. Rotting OrangesVideo
Solution59.5%Medium
1051. Height CheckerVideo
Solution81.6%Easy
Solution71.8%Medium
Showing 51–100 of 178

More about IBM interviews

IBM is one of the most established technology companies in the world, working across cloud computing, AI, enterprise software, and consulting. Because of its wide engineering scope, IBM looks for developers who are not only comfortable with data structures and algorithms but also capable of writing clean, production-ready code and reasoning through real-world engineering problems.

The IBM coding interview process typically starts with an online assessment (often on platforms like HackerRank or CodeSignal). Candidates who pass are invited to technical interview rounds where they solve algorithmic problems, explain their approach, and discuss trade-offs. For experienced roles, additional rounds may include system design and architecture discussions.

Based on real candidate reports, IBM interview questions frequently focus on practical DSA patterns rather than extremely complex puzzles. You’ll often see problems involving:

  • Arrays and string manipulation
  • Hash tables and frequency counting
  • Binary trees and tree traversals
  • Graph traversal (BFS/DFS)
  • Dynamic programming and recursion
  • Sorting, searching, and greedy techniques

The difficulty distribution usually leans toward easy to medium problems, but strong problem-solving skills and clear explanations are still critical. Interviewers often ask follow-up questions such as optimizing time complexity or handling edge cases.

FleetCode helps you prepare efficiently with a curated set of . Problems are organized by topic and difficulty, and each includes detailed solutions in Python, Java, and C++. Instead of randomly solving problems, you can practice the exact patterns IBM interviewers commonly test and build the confidence needed to perform well during the coding rounds.

Interview tips

Preparing for an IBM coding interview requires understanding both the interview structure and the types of problems the company commonly asks. While the process varies slightly by role and region, most candidates go through a similar sequence of evaluation rounds.

Typical IBM interview format:

  • Online Assessment:Problems often involve arrays, strings, or basic algorithms.
  • Technical Interview Round(s): One or two rounds where you solve DSA problems while explaining your thought process. Interviewers often ask about complexity and optimizations.
  • Managerial or Behavioral Round: Focuses on teamwork, communication, and your past projects.
  • System Design (for experienced roles): Discussion of scalable systems, APIs, and architectural trade-offs.

Most common DSA categories asked by IBM:

  • Arrays and string manipulation
  • Hash maps and set-based problems
  • Binary trees and tree traversal
  • Graph traversal (BFS/DFS)
  • Dynamic programming basics
  • Sorting and searching techniques

A practical preparation strategy is to first master easy and medium problems across these topics. IBM interviewers often prioritize clarity and correctness over extremely tricky algorithms. Make sure you can explain your approach clearly and write bug‑free code.

Common mistakes to avoid:

  • Jumping into coding without explaining the approach
  • Ignoring edge cases such as empty inputs or duplicates
  • Not discussing time and space complexity
  • Overcomplicating problems that have simple solutions

Most candidates can prepare effectively in 6–8 weeks by solving curated company-focused problems. Practicing a structured set of questions—like the —helps you recognize common patterns quickly and build confidence before the actual interview.

Frequently asked questions

What DSA topics does IBM ask most?

IBM frequently asks questions on arrays, strings, hash maps, and binary trees. Graph traversal, recursion, and dynamic programming also appear in many interviews. Candidates should also be comfortable analyzing time and space complexity.

How hard are IBM coding interviews?

IBM coding interviews are generally considered moderate in difficulty. Most problems fall in the easy to medium range and focus on fundamental data structures and algorithms. Interviewers usually emphasize clear thinking, correct logic, and code quality rather than extremely complex puzzles.

Does IBM ask system design questions?

Yes, system design questions are often asked for mid-level or senior engineering roles at IBM. These interviews may cover topics like scalable architecture, microservices, APIs, and distributed systems. Entry-level candidates are usually evaluated primarily on coding and data structures.

What is the IBM interview process like?

The typical IBM interview process includes an online coding assessment followed by one or two technical interview rounds. These interviews involve solving coding problems and discussing your approach. Some roles also include a behavioral or managerial round, and experienced positions may include system design discussions.

How many LeetCode problems should I solve for IBM?

Focusing on common patterns like arrays, trees, and hashing is more effective than solving random problems.

How long should I prepare for an IBM coding interview?

A preparation period of about 6–8 weeks is usually sufficient for most candidates. During this time, focus on solving structured DSA problems, reviewing common patterns, and practicing explaining your approach clearly during mock interviews.