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Chapter 4: Algorithmic Strategies — Online MCQ Test

COMPUTER SCIENCE · CLASS 12th · Tamil Nadu State Board

Practice Chapter 4: Algorithmic Strategies with a free chapter-wise online MCQ test for Tamil Nadu State Board CLASS 12th COMPUTER SCIENCE. This chapter covers: Exploring problem-solving techniques this chapter introduces algorithm design complexity analysis and asymptotic notations. It demonstrates searching algorithms like linear and bin.... AI-generated questions from basic to board-exam level, with instant results and explanations.

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Chapter 4: Algorithmic Strategies — Important Questions & Answers (FAQ)

Frequently asked questions from Tamil Nadu State Board CLASS 12th COMPUTER SCIENCE — Chapter 4: Algorithmic Strategies, with answers and explanations. These are sample questions; the exam has its own separate question set.

Which search technique checks each element one by one until the target is found?
  • A. Binary search
  • B. Linear search ✓
  • C. Insertion sort
  • D. Selection sort
Answer: B. Linear search
Linear search compares the target with each element sequentially. It stops when the item is found or the list ends.
In binary search, the list must be ________.
  • A. randomly arranged
  • B. sorted ✓
  • C. reversed only
  • D. containing only distinct values
Answer: B. sorted
Binary search works only on a sorted list because it repeatedly halves the search space based on order.
The main idea of algorithmic complexity analysis is to study the ________ of an algorithm.
  • A. color output
  • B. growth in resource usage ✓
  • C. programming language used
  • D. number of variables declared
Answer: B. growth in resource usage
Complexity analysis measures how time or space usage increases with input size.
For searching an item in a sorted list of 1024 elements, which algorithm is generally more efficient?
  • A. Linear search because it always checks fewer elements
  • B. Binary search because it halves the search space each step ✓
  • C. Bubble sort because it rearranges data faster
  • D. Insertion sort because it searches and sorts together
Answer: B. Binary search because it halves the search space each step
Binary search is more efficient on sorted data because it reduces the remaining search space by half each time.
For a list of n elements, which algorithmic complexity pair is most appropriate for the best case of insertion sort and binary search respectively?
  • A. O(n) and O(log n) ✓
  • B. O(log n) and O(n)
  • C. O(n^2) and O(1)
  • D. O(1) and O(n^2)
Answer: A. O(n) and O(log n)
Insertion sort can be O(n) in the best case when the list is already sorted, while binary search runs in O(log n) time.

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