DSA Revision | Part 2 | Arrays, Stack, Queue, Linear Search & Binary Search

Dear students, welcome back to the quick revision series of Data Structures and Algorithms. In this video, we revise the most important linear data structures and searching algorithms that are frequently asked in exams and technical interviews. Topics covered in this video Linear Data Structures Array (with example) Stack (LIFO concept) Queue (FIFO concept) Linear Search Binary Search (basic idea) Practice MCQs (Answers) 1. B — Step-by-step solution An algorithm is a set of steps used to solve a problem. 2. C — Array An array is a data structure used to store multiple values in sequence. 3. B — Constant time O(1) means the algorithm takes the same time regardless of input size. 4. B — Store and organize data efficiently Data structures help improve speed and performance. 5. B — Binary Search Binary search is faster because it divides the data into two parts again and again. 6. B — Stack Stack follows LIFO (Last In First Out). 7. B — Queue Queue follows FIFO (First In First Out). 8. A — Array An array stores data in sequence using indexes. 9. B — O(n) Linear search checks each element one by one. 10. B — Data is sorted Binary search works only when the data is sorted. 11. C— It produces correct results using minimum time and memory (An efficient algorithm should not only give correct results, but it should also use less time and less memory.) 12. C — O(n) If the input size increases a lot and the running time increases in the same proportion, the algorithm has linear time complexity, which is written as O(n). 13. B — Stack Undo operations work in reverse order. The last action is undone first, which follows the LIFO principle used in a stack. 14. C — Linear search can be used on both sorted and unsorted data This video is useful for Computer Science students Students preparing for skill tests Programming beginners Interview preparation Quick revision before exams