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Longest Common Subsequences Quiz

Authored by PANDU WICAKSONO

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Longest Common Subsequences Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of the longest common subsequence (LCS) problem?

To count the number of common elements in two sequences

To find the shortest subsequence of two sequences

To find a maximum-length common subsequence of two sequences

To determine if two sequences are identical

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of the LCS problem?

It has an optimal substructure property

It is always solvable in linear time

It can be solved using a brute-force approach efficiently

It requires only one sequence to solve

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the context of LCS, what does the variable 'c[i, j]' represent?

The maximum length of any subsequence

The length of the longest common subsequence of Xi and Yj

The total number of subsequences of X

The index of the longest subsequence found

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of the LCS algorithm when using a dynamic programming approach?

O(m+n)

O(m^2)

Θ(mn)

O(n log n)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements is true regarding the space complexity of the LCS algorithm?

It requires Θ(mn) space

It requires O(m+n) space

It requires O(m^2) space

It can be solved in constant space

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the output of the PRINT-LCS procedure for the sequences X = (A, B, C, B, D, A, B) and Y = (B, D, C, A, B, A)?

(B, D, A)

(A, B, C)

(B, C, B, A)

(B, C, A)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one way to improve the LCS algorithm mentioned in the text?

By using a single array instead of a table

By eliminating the b table and reconstructing LCS in O(m+n) time

By increasing the size of the c table

By using a different programming language

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