"Solving Questions With Brainpower" is a dynamic programming problem that simulates a test-taking scenario with a twist. You are presented with a series of questions, each having a specific point value and a "brainpower" cost. If you choose to solve a question, you gain its points, but you must skip the next several questions based on its brainpower cost. Alternatively, you can choose to skip the current question and move to the next one without any penalty.
The goal is to determine the maximum number of points you can accumulate by strategically choosing which questions to solve and which to skip. It’s a classic optimization problem where a decision made at the current step affects the options available in future steps.
This interview question is a favorite at companies like Microsoft, Meta, and Google because it tests a candidate's ability to model dependencies in a sequence. It’s a perfect introduction to 1D Dynamic Programming. Unlike simpler problems, this one requires you to think about how a choice "jumps" you forward in the array. It evaluates your skill in defining state transitions and your ability to choose between a top-down (memoization) or bottom-up (tabulation) approach.
The primary algorithmic pattern is Dynamic Programming (DP). Since the decision to solve a question at index depends on the maximum points we can get starting from index , we can build the solution from the end of the array to the beginning (bottom-up).
dp[i] be the maximum points we can get from questions to .dp[i] = max(solve_current, skip_current)solve_current = points[i] + dp[i + brainpower[i] + 1] (if the jump is within bounds)skip_current = dp[i + 1]Suppose we have three questions:
One common mistake is trying to use a greedy approach (always picking the question with the most points or the least brainpower). Greedy fails because a high-point question might force you to skip even higher-point questions later. Another mistake is incorrect indexing during the "jump"—forgetting that if you are at index and have brainpower , the next available question is at index . Finally, failing to handle the base cases (the end of the array) can lead to out-of-bounds errors.
To master this Solving Questions With Brainpower interview question, practice other "house robber" style DP problems. The key is to recognize the "Include/Exclude" pattern. When you decide to include an element, calculate how it restricts your future choices. Drawing a recursion tree for a small example can help you visualize the overlapping subproblems, which is the hallmark of a DP-solvable challenge.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Find the Maximum Length of Valid Subsequence I | Medium | Solve | |
| Maximum Absolute Sum of Any Subarray | Medium | Solve | |
| Find the Maximum Length of Valid Subsequence II | Medium | Solve | |
| Last Stone Weight II | Medium | Solve | |
| Partition Array for Maximum Sum | Medium | Solve |