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Trie Questions

Home > Technical Aptitude > Data Structures > Trie > General Questions
NA
SHSTTON
11
Solv. Corr.
29
Solv. In. Corr.
40
Attempted
0 M:0 S
Avg. Time

1 / 30

Choose the correct option.

Which of the following special type of trie is used for fast searching of the full texts?


ACtrie

BHash tree

CSuffix tree

DT tree

Answer: Option C

Explanation:

Suffix tree, a special type of trie, contains all the suffixes of the given text at the key and their position in the text as their values. So, suffix trees are used for fast searching of the full texts.

Workspace

NA
SHSTTON
13
Solv. Corr.
22
Solv. In. Corr.
35
Attempted
0 M:0 S
Avg. Time

2 / 30

Choose the correct option.

What traversal over trie gives the lexicographical sorting of the set of the strings?


Apostorder

Bpreorders

Cinorder

Dlevel order

Answer: Option C

Explanation:

In trie, we store the strings in such a way that there is one node for every common prefix. Therefore the inorder traversal over trie gives the lexicographically sorted set of strings.

Workspace

NA
SHSTTON
8
Solv. Corr.
21
Solv. In. Corr.
29
Attempted
0 M:0 S
Avg. Time

3 / 30

Choose the correct option.

What is a time complexity for x pattern occurrence of length n?


AO (log n!)

BƟ (n!)

CO (n2)

DƟ (n + x)

Answer: Option D

Explanation:

Suffix tree is also known as PAT tree or position tree. It allows fast string operation. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for x pattern occurrence of length n is Ɵ (n + x).

Workspace

NA
SHSTTON
11
Solv. Corr.
15
Solv. In. Corr.
26
Attempted
0 M:0 S
Avg. Time

4 / 30

Choose the correct option.

What is a time complexity for finding the longest substring that is common in string S1 and S2 (n1 and n2 are the string lengths of strings s1, s2 respectively)?


AO (log n!)

BƟ (n!)

CO (n2+ n1)

DƟ (n1 + n2)

Answer: Option D

Explanation:

Suffix Tree allows fast string operation. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for finding the longest substring that is common in string S1 and S2 is Ɵ (n1 + n2).

Workspace

NA
SHSTTON
17
Solv. Corr.
11
Solv. In. Corr.
28
Attempted
0 M:0 S
Avg. Time

5 / 30

Choose the correct option.

What is a time complexity for finding the longest substring that is repeated in a string?


AO (log n!)

BƟ (n!)

CO (n2+ n1)

DƟ (n)

Answer: Option D

Explanation:

Suffix Tree allows fast string operation. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for finding the longest substring that is repeated in a string is Ɵ (n).

Workspace

NA
SHSTTON
16
Solv. Corr.
11
Solv. In. Corr.
27
Attempted
0 M:0 S
Avg. Time

6 / 30

Choose the correct option.

What is a time complexity for finding frequently occurring of a substring of minimum length in a string?


AƟ (n)

BƟ (n!)

CO (n2+ n1)

DO (log n!)

Answer: Option A

Explanation:

Suffix Tree allows fast string operation. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for finding frequently occurring of a substring of minimum length in a string is Ɵ (n).

Workspace

NA
SHSTTON
21
Solv. Corr.
10
Solv. In. Corr.
31
Attempted
0 M:0 S
Avg. Time

7 / 30

Choose the correct option.

Which tree allows fast implementation of string operation?


ARope Tree

BSuffix Tree

CTango Tree

DTop Tree

Answer: Option B

Explanation:

In computer science, a suffix tree is also known as PAT tree or position tree. It is a compressed search tree or prefix tree in which keys contain the suffix of text values as the text position. It allows fast string operation to be carried out by the user.

Workspace

NA
SHSTTON
6
Solv. Corr.
19
Solv. In. Corr.
25
Attempted
0 M:0 S
Avg. Time

8 / 30

Choose the correct option.

What is a time complexity for finding the longest prefix that is common between suffix in a string?


AƟ (n)

BƟ (n!)

CƟ (1)

DO (log n!)

Answer: Option C

Explanation:

Suffix Tree allows fast string operation. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for finding the longest prefix that is common between suffix in a string is Ɵ (1).

Workspace

NA
SHSTTON
14
Solv. Corr.
11
Solv. In. Corr.
25
Attempted
0 M:0 S
Avg. Time

9 / 30

Choose the correct option.

What is a time complexity for finding all the maximal palindrome in a string?


AƟ (n)

BƟ (n!)

CƟ (1)

DO (log n!)

Answer: Option A

Explanation:

Palindrome is a string that is the same when reading forward as well as backward. To check if a substring is present in a string of a length of n, the time complexity for such operation is found to be O (n). The time complexity for finding all the maximal palindrome in a string is Ɵ (n).

Workspace

NA
SHSTTON
11
Solv. Corr.
11
Solv. In. Corr.
22
Attempted
0 M:0 S
Avg. Time

10 / 30

Choose the correct option.

What is the time complexity of Uttkonen’s algorithm?


AO (log n!)

BO (n!)

CO (n2)

DO (n log n)

Answer: Option D

Explanation:

The concept of Suffix Tree was introduced by Weiner in 1973. Ukkonen provided the first online contribution of Suffix tree which had the time complexity of the fastest algorithm of that period. Ukkonen’s algorithm had a time complexity of n log n.

Workspace

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