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Test: Tries - 1 - Software Development MCQ


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15 Questions MCQ Test DSA in C++ - Test: Tries - 1

Test: Tries - 1 for Software Development 2024 is part of DSA in C++ preparation. The Test: Tries - 1 questions and answers have been prepared according to the Software Development exam syllabus.The Test: Tries - 1 MCQs are made for Software Development 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Tries - 1 below.
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Test: Tries - 1 - Question 1

Which of the following is the correct definition of a Trie data structure?

Detailed Solution for Test: Tries - 1 - Question 1

Tries are tree-like data structures commonly used to store and retrieve strings. Each node represents a character, and the edges represent the next characters in the strings.

Test: Tries - 1 - Question 2

In a Trie, each node typically contains:

Detailed Solution for Test: Tries - 1 - Question 2

In a Trie, each node typically contains multiple characters and a pointer to the child node. The child node represents the next character in the string.

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Test: Tries - 1 - Question 3

Which of the following operations is NOT typically supported by a Trie?

Detailed Solution for Test: Tries - 1 - Question 3

Although it is possible to retrieve strings from a Trie in lexicographic order, it is not a typical operation supported by Tries. The main operations supported by Tries are insertion, search, and prefix matching.

Test: Tries - 1 - Question 4

The time complexity for searching a string in a Trie of N nodes is:

Detailed Solution for Test: Tries - 1 - Question 4

The time complexity for searching a string in a Trie is proportional to the length of the searched string. It requires traversing the Trie from the root to the leaf node corresponding to the last character of the string.

Test: Tries - 1 - Question 5

Which of the following problems can be efficiently solved using Tries?

Detailed Solution for Test: Tries - 1 - Question 5

Tries can be used to efficiently check whether two strings are anagrams. By inserting one string into a Trie and then searching for the other string, we can determine if they have the same characters in the same quantities.

Test: Tries - 1 - Question 6

What will be the output of the following code?
#include <iostream>
#include "Trie.h"

int main() {
    Trie trie;
    trie.insert("apple");
    trie.insert("banana");
    trie.insert("cat");

    std::cout << trie.search("apple") << std::endl;
    std::cout << trie.search("dog") << std::endl;
    std::cout << trie.search("cat") << std::endl;

    return 0;
}

Detailed Solution for Test: Tries - 1 - Question 6

The output of the code will be:
1
0
1
The code creates a Trie and inserts the strings "apple", "banana", and "cat". It then searches for the strings "apple", "dog", and "cat" using the 'search' function. The function returns 1 if the string is found in the Trie and 0 otherwise.

Test: Tries - 1 - Question 7

What will be the output of the following code?
#include <iostream>
#include "Trie.h"

int main() {
    Trie trie;
    trie.insert("apple");
    trie.insert("banana");
    trie.insert("cat");

    std::cout << trie.startsWith("a") << std::endl;
    std::cout << trie.startsWith("b") << std::endl;
    std::cout << trie.startsWith("d") << std::endl;

    return 0;
}

Detailed Solution for Test: Tries - 1 - Question 7

The output of the code will be:
1
1
0
The code creates a Trie and inserts the strings "apple", "banana", and "cat". It then checks if the Trie contains strings starting with the characters "a", "b", and "d" using the startsWith function. The function returns 1 if there are strings 'starting with' the given prefix and 0 otherwise.

Test: Tries - 1 - Question 8

What will be the output of the following code?
#include <iostream>
#include "Trie.h"

int main() {
    Trie trie;
    trie.insert("apple");
    trie.insert("banana");
    trie.insert("cat");

    trie.remove("apple");

    std::cout << trie.search("apple") << std::endl;
    std::cout << trie.search("banana") << std::endl;

    return 0;
}

Detailed Solution for Test: Tries - 1 - Question 8

The output of the code will be:
0
1
The code creates a Trie and inserts the strings "apple", "banana", and "cat". It then removes the string "apple" from the Trie using the 'remove' function. After that, it 'searches' for the strings "apple" and "banana" using the search function. The function returns 1 if the string is found in the Trie and 0 otherwise.

Test: Tries - 1 - Question 9

What will be the output of the following code?
#include <iostream>
#include "Trie.h"

int main() {
    Trie trie;
    trie.insert("apple");
    trie.insert("banana");
    trie.insert("cat");

    std::cout << trie.countPrefixes("a") << std::endl;
    std::cout << trie.countPrefixes("b") << std::endl;
    std::cout << trie.countPrefixes("ca") << std::endl;

    return 0;
}

Detailed Solution for Test: Tries - 1 - Question 9

The output of the code will be:
The code creates a Trie and inserts the strings "apple", "banana", and "cat". It then counts the number of strings with the prefixes "a", "b", and "ca" using the 'countPrefixes' function. The function returns the count of strings with the given prefix.

Test: Tries - 1 - Question 10

What will be the output of the following code?
#include <iostream>
#include "Trie.h"

int main() {
    Trie trie;
    trie.insert("apple");
    trie.insert("banana");
    trie.insert("cat");

    std::cout << trie.longestPrefix("applesauce") << std::endl;
    std::cout << trie.longestPrefix("carrot") << std::endl;
    std::cout << trie.longestPrefix("catnip") << std::endl;

    return 0;
}

Detailed Solution for Test: Tries - 1 - Question 10

The output of the code will be:
apple
""
cat
The code creates a Trie and inserts the strings "apple", "banana", and "cat". It then finds the longest prefix of the given strings using the 'longestPrefix' function. The function returns the longest prefix that exists in the Trie for each given string.

Test: Tries - 1 - Question 11

Given a list of strings, how can you efficiently build an auto-complete feature using a Trie?

Detailed Solution for Test: Tries - 1 - Question 11

To build an auto-complete feature using a Trie, you need to insert all the strings into the Trie. Then, when the user enters a partial string, you can use the search function to find matching prefixes and suggest possible completions.

Test: Tries - 1 - Question 12

You are given a Trie data structure and a word. Implement the 'search' function that returns 'true' if the word exists in the Trie and 'false' otherwise. The signature of the function is: 'bool search(TrieNode* root, string word)'.

Detailed Solution for Test: Tries - 1 - Question 12

To implement the 'search' function that checks if a word exists in the Trie, you can use recursion to traverse the Trie and compare each character of the word with the corresponding nodes in the Trie.

Test: Tries - 1 - Question 13

Given a Trie data structure, how can you efficiently count the number of strings that have a given prefix? Implement the 'countPrefix' function that returns the count of strings with a given prefix. The signature of the function is: 'int countPrefix(TrieNode* root, string prefix)'.

Detailed Solution for Test: Tries - 1 - Question 13

To count the number of strings with a given prefix in a Trie, you can use recursion to traverse the Trie until reaching the last character of the prefix. Then, you can count the number of strings below that point.

Test: Tries - 1 - Question 14

Given a Trie data structure and a list of strings, how can you efficiently find the longest duplicate substring in the list? Implement the 'longestDuplicateSubstring' function that returns the longest duplicate substring. The signature of the function is: 'string longestDuplicateSubstring(vector<string>& words)'.

Detailed Solution for Test: Tries - 1 - Question 14

To find the longest duplicate substring in a list of words using a Trie, you can insert all the words into the Trie and then use a depth-first search to find the longest duplicate substring.

Test: Tries - 1 - Question 15

You are given a Trie data structure and a word. Implement the 'remove' function that removes the word from the Trie. The signature of the function is: 'void remove(TrieNode* root, string word)'.

Detailed Solution for Test: Tries - 1 - Question 15

To implement the 'remove' function that removes a word from the Trie, you can use recursion to traverse the Trie and locate the nodes corresponding to the characters of the word. Once you reach the last character, you can remove the nodes in reverse order.

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