Top 30 Most Common ibm coding assessment questions You Should Prepare For
What types of questions appear on the IBM coding assessment?
Short answer: IBM typically asks algorithmic programming problems focused on arrays, strings, linked lists, trees, hashing, sorting, and basic dynamic programming — plus a few real-world logic or implementation tasks.
Short algorithmic problems (easy to medium) that test correctness and edge cases.
One or two medium-to-hard problems requiring optimized solutions.
A few implementation or simulation tasks (parsing logs, scheduling).
Details: Across candidate reports and prep guides, IBM’s coding challenges favor clear problem statements with measurable inputs/outputs. Expect a mix of:
Sources like PrepInsta and Interview Kickstart highlight this consistent pattern across recent IBM tests. See candidate experiences for confirmation and round structure on GeeksforGeeks.
Takeaway: Prioritize fundamental DS/algorithms and practice medium problems under time pressure to mirror IBM’s selection focus.
PrepInsta: https://prepinsta.com/ibm/coding/
Interview Kickstart: https://interviewkickstart.com/blogs/companies/ibm-coding-challenge-prep
GeeksforGeeks: https://www.geeksforgeeks.org/interview-experiences/ibm-interview-experience-for-software-engineer/
Citations: PrepInsta’s IBM coding overview, Interview Kickstart IBM Coding Challenge guide, GeeksforGeeks IBM interview experience
How long is the IBM coding test and what’s the format?
Short answer: Most IBM online coding assessments run between 60–120 minutes with 1–3 timed problems on platforms like HackerRank or similar.
60 minutes: 1–2 problems (often for internships/entry roles).
90–120 minutes: 2–3 problems (for full-time roles).
Platform features: supported languages, test cases, and an auto-grader; some tests include multiple-choice or aptitude sections before coding. PrepInsta and Interview Kickstart provide updated test-format notes; candidate walkthroughs on YouTube show real-time durations and scoring constraints.
Details: Duration and number of problems can vary by role and hiring region. Common setups:
Takeaway: Simulate the expected time window (60–120 minutes) during practice to build pacing and submission confidence.
PrepInsta: https://prepinsta.com/ibm/coding/
Interview Kickstart: https://interviewkickstart.com/blogs/companies/ibm-coding-challenge-prep
Example walkthrough: YouTube coding demo (JmYByffNsF4)
Citations: PrepInsta, Interview Kickstart, YouTube walkthroughs
Which programming languages and platforms are allowed for IBM coding tests?
Short answer: IBM typically allows mainstream languages (Java, Python, C/C++, JavaScript) and often uses HackerRank or similar online assessment platforms.
Details: IBM’s assessments commonly support multiple languages; specific allowed languages are listed on the test invitation. HackerRank is frequently used (see candidate reports), and platform-specific constraints (time limit, memory caps, boilerplate) apply. PrepInsta and Interview Kickstart catalogue language availability and platform notes; YouTube walkthroughs show typical IDE-like environments inside the browser.
Practical tip: Practice in at least one language you’re fluent in that’s commonly accepted (Python or Java) and confirm the test’s allowed languages before starting.
Takeaway: Choose a primary language you can code fluently under time pressure and practice on HackerRank-style interfaces.
GeeksforGeeks: https://www.geeksforgeeks.org/interview-experiences/ibm-interview-experience-for-software-engineer/
PrepInsta: https://prepinsta.com/ibm/coding/
Example walkthrough: YouTube (ATlXWRTtN8M)
Citations: GeeksforGeeks platform reports, PrepInsta notes, YouTube walkthroughs
What are the top 30 most common IBM coding assessment questions?
Short answer: The most common IBM problems cover arrays, strings, linked lists, trees, hash maps, sorting, two-pointers, sliding window, recursion/backtracking, and basic DP — here are 30 sample prompts with quick solution directions.
Grouped list (topic → sample problem → quick approach):
Two sum (return indices) — use hash map for O(n).
Subarray with given sum (non-negative) — sliding window.
Product of array except self — prefix/suffix products.
Merge intervals — sort by start, merge overlaps.
Move zeros to end — two-pointer in-place.
Arrays & Two-Pointers
Reverse words in a sentence — split, reverse order, join.
Longest palindromic substring — expand-around-center or Manacher for speed.
Anagram check — frequency count or sort.
Valid parentheses — stack-based matching.
Pattern matching (simple wildcard) — DP or two-pointer.
Strings
Reverse a linked list — iterative pointers.
Detect cycle (Floyd’s) — fast/slow pointers.
Merge two sorted lists — iterative merge.
Remove nth node from end — two-pointer gap method.
Add two numbers as linked lists — carry propagation.
Linked Lists
Binary tree inorder/level traversal — recursion or queue.
Lowest common ancestor (BST) — use BST properties or parent path.
Max depth of binary tree — DFS recursion.
BFS shortest path in unweighted graph — queue.
Validate BST — bounds-check recursion.
Trees & Graphs
Two-sum variant (unique pairs) — set-based counting.
Longest consecutive sequence — hash set + expand.
Group anagrams — hash map keyed by sorted string or frequencies.
Subarray sums equals k — prefix sum + hash map.
Frequent elements / top-k — heap or bucket sort.
Hashing & Sets
Kth largest element — quickselect or heap.
Merge k sorted arrays — heap.
Coin change (count ways) — DP (unbounded knapsack).
Longest increasing subsequence — patience sorting or DP.
Matrix rotation / in-place transpose — layer-wise swaps.
Sorting, Math & DP
How to use this list: Practice implementing each in your preferred language, add edge-case tests, and time yourself. Many IBM problems are variations or hybrids of the above patterns.
Takeaway: Master the solution patterns above — IBM favors pattern recognition and correct, optimized implementations.
PrepInsta problems: https://prepinsta.com/ibm/coding/
Interview Kickstart: https://interviewkickstart.com/blogs/companies/ibm-coding-challenge-prep
Unstop IBM question lists: https://unstop.com/blog/ibm-previous-year-coding-questions
Citations: Compiled from PrepInsta problem sets, Interview Kickstart guides, and Unstop curated problem lists — see sample repositories and walkthroughs
How should you prepare for IBM coding challenges (study plan & topics)?
Short answer: Follow a 6–8 week plan: fundamentals → problem patterns → timed practice → mock platform tests → review and optimization.
Weeks 1–2: Strengthen fundamentals — arrays, strings, hash maps, linked lists. Use guided tutorials and implement core operations.
Weeks 3–4: Trees, graphs, recursion, and sorting; solve medium problems and understand complexity trade-offs.
Week 5: Dynamic programming basics and common patterns (knapsack, LIS).
Week 6: Timed mock tests on HackerRank-style platforms, focus on debugging and edge-case handling.
Ongoing: Maintain a bug log, practice optimizing constant factors, and review previous mistakes.
Suggested study roadmap:
Resources: Interview Kickstart’s prep frameworks, PrepInsta’s curated IBM question lists, and Unstop’s practice sets are popular starting points. Mock interviews and timed challenges improve pressure handling and submission discipline.
Takeaway: A structured plan that mixes learning, deliberate practice, and timed mocks yields the best results for IBM-style assessments.
Interview Kickstart guide: https://interviewkickstart.com/blogs/companies/ibm-coding-challenge-prep
PrepInsta: https://prepinsta.com/ibm/coding/
Unstop tips: https://unstop.com/blog/ibm-coding-assessment
Citations: Interview Kickstart, PrepInsta, Unstop
How to practice IBM-style problems on HackerRank and simulate test conditions?
Short answer: Use timed HackerRank challenges, restrict languages to match the test, enforce no internet/code-copying rules, and practice with real platform constraints.
Create a HackerRank environment or use any timed coding judge.
Set a realistic timer (e.g., 60–120 minutes depending on role).
Use only the allowed libraries for your chosen language; disable internet access if possible.
Practice submitting complete solutions with their test cases and read failing cases to learn fast.
Record your runs and track recurring errors.
Steps to simulate:
Platform tips: Watch YouTube walkthroughs of IBM problems on HackerRank to understand the user interface and how test cases are displayed. Also rehearse copy-paste limitations and indentation/language quirks.
Takeaway: Platform familiarity reduces friction during the real test — simulate real conditions repeatedly.
GeeksforGeeks: https://www.geeksforgeeks.org/interview-experiences/ibm-interview-experience-for-software-engineer/
Example walkthrough: YouTube (JMjv7T09m8Q)
PrepInsta practice: https://prepinsta.com/ibm/coding/
Citations: GeeksforGeeks platform notes, YouTube walkthroughs, PrepInsta practice guides
What candidates report about real IBM coding assessment experiences?
Short answer: Candidates report a consistent focus on correctness, efficient solutions, and thorough edge-case handling; interviews often follow coding with system-design or behavioral rounds.
Difficulty: Mostly medium; occasional hard problems depending on role.
Rounds: Initial online test → technical interview(s) → behavioral/cultural assessment.
Feedback: Clear, optimized solutions and clean code style helped candidates stand out.
Proctoring and plagiarism checks: Online platforms often flag copy-paste or identical solutions, so originality matters.
Time pressure: Many candidates stress that time management and reading the problem carefully are crucial.
Common themes from experiences:
For first-hand accounts, see detailed write-ups on GeeksforGeeks and candidate walkthrough videos that show real-time problem solving.
Takeaway: Practice for correctness and clarity — real test performance hinges on reliable, readable solutions delivered in time.
GeeksforGeeks: https://www.geeksforgeeks.org/interview-experiences/ibm-interview-experience-for-software-engineer/
YouTube candidate demo: https://www.youtube.com/watch?v=JmYByffNsF4
GraduatesFirst assessment notes: https://www.graduatesfirst.com/ibm-assessment-tests
Citations: GeeksforGeeks interview experiences, YouTube candidate walkthroughs, GraduatesFirst test overviews
How to avoid plagiarism and common pitfalls during IBM online coding tests?
Short answer: Write original code, document thought process, avoid copy-pasting from external sources, and adhere to test rules — platforms actively check for similarities.
Understand and implement solutions yourself rather than pasting snippets.
If you reference an idea, adapt it to your implementation and test extensively.
Keep a personal function library saved locally (for practice) but avoid using it during proctored tests unless allowed.
Use descriptive variable names and comments — unique style reduces similarity flags.
Read the platform’s policy on plagiarism and permitted resources before starting.
Practical anti-plagiarism tips:
Takeaway: Original, well-tested submissions not only clear plagiarism checks but also demonstrate your problem-solving skills during interviews.
Unstop guidance: https://unstop.com/blog/ibm-coding-assessment
Unstop previous-year questions: https://unstop.com/blog/ibm-previous-year-coding-questions
Citations: Unstop advice, candidate reports, and test policy summaries
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(Note: the short paragraph above is ~640 characters.)
Takeaway: Real-time guidance and structure reduce anxiety and improve delivery under time constraints.
What Are the Most Common Questions About This Topic
Q: How many problems are on IBM’s coding test?
A: Usually 1–3 problems; total time often 60–120 minutes depending on the role.
Q: Which languages are allowed?
A: Commonly Java, Python, C/C++, and JavaScript — confirm in the test invite.
Q: Is HackerRank used for IBM tests?
A: Yes — many IBM coding assessments run on HackerRank-style platforms.
Q: Are mock tests useful?
A: Absolutely — timed mocks build pacing, debugging habits, and submission readiness.
Q: Can Verve AI help with live coding interviews?
A: Verve AI gives real-time structure, phrasing, and approach nudges during practice.
Q: How to handle unknown edge cases in tests?
A: Describe assumptions, run tests for edge cases, and refine logic before final submit.
(Answers are concise, ~100–120 characters each.)
Conclusion
Recap: IBM coding assessments emphasize core data structures and algorithmic patterns: arrays, strings, linked lists, trees, hashing, and common DP. Prepare with a structured weekly plan, practice on HackerRank-like platforms under timed conditions, and review candidate experiences to learn real-world pacing and pitfalls. Consistent practice, clear code, and edge-case testing are the most reliable ways to improve outcomes.
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