Practice dynamic-programming Quizzes
Explore dynamic-programming in depth with quizzes covering fundamentals to advanced concepts. DevBrainiac's structured quiz format helps you understand theory, apply logic and master problem-solving techniques. With continuous practice, you can track progress, fix mistakes and build strong command of dynamic-programming.
Explore All dynamic-programming Quizzes
Learn dynamic-programming step by step with interactive quizzes designed for beginners and learners revising key concepts. Build a strong foundation with clear, structured practice in dynamic-programming.
Question 1
Which of the following problems can be solved using Dynamic Programming?
1
Finding the largest prime number
2
Finding the root of a polynomial equation
3
Solving the Fibonacci sequence
4
Finding the factorial of a number
Question 2
Which of the following problems can be solved efficiently using the Kadane’s Algorithm?
1
Finding the maximum subarray sum
2
Merging two arrays
3
Sorting an array
4
Searching for an element
Question 3
Which of the following is not a necessary property for a problem to be solved effectively by dynamic programming?
1
A recursive or tabulated formulation
2
Optimal substructure
3
Greedy choice property
4
Overlapping subproblems
Question 4
In the bottom‐up tabulation approach to dynamic programming, which of the following is typically the correct order of steps?
1
Define DP state → write recurrence → choose iteration order → fill table → return answer
2
Identify recurrence → choose memorization → fill table → return result
3
Write naive recursion → identify overlapping subproblems → memorize → convert to tabulation
4
Declare table → fill table arbitrarily → define recurrence → answer
Question 5
Consider a code for the problem of computing the nth Fibonacci number using dynamic programming (either memoization or tabulation). What is the time complexity of the optimal DP solution?
1
O(ϕ^n) (approx exponential)
2
O(n)
3
O(log n)
4
O(n²)
Question 6
The problem: “Given two sequences X and Y of lengths m and n, find the length of their Longest Common Subsequence (LCS)”. What is the typical time complexity of the standard DP solution?
1
O(2^(m+n))
2
O(max(m,n)²)
3
O(m*n)
4
O(m+n)
Question 7
In the context of coding interview problems, which of the following is least likely to be solved by a pure greedy algorithm and more likely to require dynamic programming?
1
Huffman Coding
2
Activity Selection
3
Fractional Knapsack
4
0/1 Knapsack
Question 8
Which of the following best describes memorization in dynamic programming?
1
Filling a table iteratively bottom‐up
2
Dividing the problem into independent subproblems
3
Storing results of subproblems to avoid recomputation
4
Greedy selection of the best immediate choice