Searching Algorithms: Binary Search - Implementations in C++ - Competitive Exam Level MCQ & Objective Questions
Searching algorithms play a crucial role in computer science and competitive exams, particularly the Binary Search algorithm. Understanding its implementation in C++ is essential for students aiming to excel in their exams. Practicing MCQs and objective questions on this topic not only enhances conceptual clarity but also boosts confidence, enabling students to tackle important questions effectively during their exam preparation.
What You Will Practise Here
Understanding the concept of Binary Search and its efficiency compared to linear search.
Implementing Binary Search in C++ with step-by-step coding examples.
Analyzing time complexity and space complexity of Binary Search.
Exploring variations of Binary Search, including recursive and iterative methods.
Solving practice questions related to Binary Search applications in real-world scenarios.
Identifying edge cases and handling them in C++ implementations.
Reviewing important definitions and diagrams related to searching algorithms.
Exam Relevance
The topic of Searching Algorithms, particularly Binary Search, frequently appears in various competitive exams such as CBSE, State Boards, NEET, and JEE. Students can expect questions that test their understanding of algorithm efficiency, implementation details, and practical applications. Common question patterns include coding problems, theoretical questions about time complexity, and scenario-based MCQs that require students to apply their knowledge in practical situations.
Common Mistakes Students Make
Confusing the conditions for applying Binary Search, especially in unsorted arrays.
Overlooking the importance of mid-point calculation, leading to infinite loops.
Failing to handle edge cases such as empty arrays or arrays with one element.
Misunderstanding the difference between iterative and recursive implementations.
FAQs
Question: What is the time complexity of Binary Search? Answer: The time complexity of Binary Search is O(log n), making it much more efficient than linear search for large datasets.
Question: Can Binary Search be used on unsorted arrays? Answer: No, Binary Search requires the array to be sorted before it can be applied.
Ready to master the Searching Algorithms: Binary Search - Implementations in C++? Dive into our practice MCQs and test your understanding to score better in your exams!
Q. How does binary search determine which half of the array to search next?
A.
By comparing the middle element with the target
B.
By checking the length of the array
C.
By using a random index
D.
By iterating through the array
Solution
Binary search compares the middle element of the array with the target value to decide whether to search the left or right half.
Correct Answer:
A
— By comparing the middle element with the target
Q. Which of the following C++ functions correctly implements binary search?
A.
int binarySearch(int arr[], int l, int r, int x)
B.
void binarySearch(int arr[], int x)
C.
int binarySearch(int arr[], int x)
D.
bool binarySearch(int arr[], int l, int r)
Solution
The function 'int binarySearch(int arr[], int l, int r, int x)' is a correct implementation signature for binary search, taking the array, left index, right index, and the target value.
Correct Answer:
A
— int binarySearch(int arr[], int l, int r, int x)
