Practice real interview problems from Unthinkable Solutions
| Status | Title | Solution | Practice | Difficulty | Companies | Topics |
|---|---|---|---|---|---|---|
| 22. Generate Parentheses | Solution | Solve | Medium | Accenture+39 | ||
| 30. Substring with Concatenation of All Words | Solution | Solve | Hard | Amazon+9 | ||
| 64. Minimum Path Sum | Solution | Solve | Medium | Amazon+16 | ||
| 2035. Partition Array Into Two Arrays to Minimize Sum Difference | Solution | Solve | Hard | Amazon+9 |
Unthinkable Solutions is known for building high-quality digital products for global startups and enterprises. Because their teams work on complex web platforms, data-driven applications, and scalable systems, the company places strong emphasis on problem-solving ability, clean code, and practical data structures knowledge during the hiring process.
The typical Unthinkable Solutions coding interview evaluates how well candidates translate business problems into efficient algorithms. Instead of purely theoretical puzzles, many questions are practical variations of classic DSA problems such as arrays, hash maps, sliding windows, recursion, and tree traversal.
Most candidates go through a structured interview process that includes:
The difficulty level of questions generally ranges from easy to medium, but interviewers often push candidates to optimize solutions and explain trade-offs. You may start with a straightforward array problem and then be asked to improve time complexity or adapt the solution for large-scale datasets.
To help you prepare effectively, we’ve curated 5 real-style Unthinkable Solutions interview questions commonly reported by candidates. Each problem reflects patterns that frequently appear in their coding interviews.
On FleetCode, you can practice these problems with guided explanations and implementations in Python, Java, and C++. If you're targeting a role at Unthinkable Solutions, mastering these patterns will significantly increase your chances of clearing the technical rounds.
If you're preparing for a Unthinkable Solutions coding interview, it’s important to understand how their interview process typically works and what interviewers expect from candidates.
Most candidates report a process with 3–4 rounds:
Based on candidate reports, the most common problem categories asked at Unthinkable Solutions include:
Interviewers often start with a straightforward problem and then ask follow-up questions like:
Common mistakes candidates make include jumping into coding without clarifying constraints, ignoring edge cases, or writing overly complex solutions when a simpler approach exists. Interviewers value structured thinking, so explain your approach before writing code.
A practical preparation plan is to spend 3–6 weeks practicing DSA problems with emphasis on arrays, hash maps, and tree traversal patterns. Try solving at least 40–60 medium-level coding problems and practice explaining your logic out loud, since communication plays a major role during live coding interviews.
Finally, review your past projects carefully. Unthinkable Solutions interviewers often ask candidates to deep dive into real work they’ve done, including architectural decisions, performance optimizations, and trade-offs.
