Dynamic Programming in Data Structures MCQ question and answer with solution

A. Merge Sort

B. Heap Sort

C. Binary Search

D. Longest Increasing Subsequence

A. O(log n)

B. O(n²)

C. O(n)

D. O(1)

A. The total number of characters in a string.

B. The minimum number of edits required to transform one string into another.

C. The frequency of characters in a string.

D. The total number of characters in a string.

A. By using heuristic methods.

B. By applying divide and conquer directly.

C. By breaking the problem into smaller, overlapping subproblems and solving them.

D. By solving each problem in a brute-force manner.

A. It starts with the main problem and divides it into subproblems.

B. It uses recursion to solve subproblems.

C. It only solves the problem iteratively.

D. It starts with the smallest subproblems and builds up to the solution.

A. It can be more intuitive and easier to implement for certain problems.

B. It avoids overlapping subproblems.

C. It always uses less memory than Bottom-Up.

D. It guarantees faster execution.

A. The total weight of the rod.

B. The number of cuts required.

C. The length of the rod to be cut.

D. The maximum profit that can be obtained by cutting a rod into pieces.

A. Problems with overlapping subproblems

B. Problems with optimal substructure

C. Problems with non-overlapping subproblems

D. Problems with complex constraints

A. To simplify the recursion.

B. To directly solve the problem.

C. To provide starting values for building up the solution.

D. To ensure that all entries are zero.

A. Maximum Subarray Sum Problem

B. Longest Common Subsequence

C. Shortest Path Problem

D. Minimum Path Sum Problem