Dynamic Programming in Data Structures MCQ question and answer with solution

A. Depth-First Search

B. Divide and Conquer

C. Greedy Algorithms

D. Dynamic Programming

A. Calculations performed once per problem.

B. Computations that use less memory.

C. Calculations of the same subproblem multiple times.

D. Computations that are done iteratively.

A. Matrix Chain Multiplication

B. Binary Search

C. Longest Common Subsequence

D. Matrix Chain Multiplication

A. O(n log W)

B. O(W log W)

C. O(nW)

D. O(n²)

A. The number of matrices

B. The size of each matrix

C. The elements within matrices

D. The order of matrix multiplications

A. By storing the results of subproblems to avoid redundant work.

B. By solving each subproblem independently.

C. By ignoring redundant subproblems.

D. By using a stack to manage subproblems.

A. Quick Sort

B. Depth-First Search

C. Binary Search

D. Longest Common Subsequence

A. Simple sorting tasks.

B. Basic searching operations.

C. Optimization problems with complex constraints.

D. Simple arithmetic calculations.

A. To manage function calls in recursion.

B. To define how the solution transitions from one subproblem to another.

C. To compute the total complexity of the problem.

D. To manage function calls in recursion.

A. Binary Search Tree Traversal

B. Shortest Path Problems

C. Longest Increasing Subsequence

D. Knapsack Problem