Wednesday, 3 April 2019

Unit 2 Question Bank DS



DSA Unit 1 MCQ Test                  Date: 6/7/17         Class SE-III
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1. Time required to merge two sorted lists of size m and n, is
A - Ο(m | n)                 B - Ο(m + n)               C - Ο(m log n)                        D - Ο(n log m)
2. The Θ notation in asymptotic evaluation represents −
A - Base case              B - Average case         C - Worst case            D - NULL case
3. Which of the following usees FIFO method
A - Queue                   B - Stack         C - Hash Table            D - Binary Search Tree
4.  Two main measures for the efficiency of an algorithm are
a. Processor and memory        b. Complexity and capacity
c. Time and space                   d. Data and space
5.  The time factor when determining the efficiency of algorithm is measured by
a. Counting microseconds      b. Counting the number of key operations
c. Counting the number of statements                        d. Counting the kilobytes of algorithm
6. The space factor when determining the efficiency of algorithm is measured by
a. Counting the maximum memory needed by the algorithm
b. Counting the minimum memory needed by the algorithm
c. Counting the average memory needed by the algorithm
d. Counting the maximum disk space needed by the algorithm

7. Which of the following case does not exist in complexity theory
a. Best case     b. Worst case   c. Average case           d. Null case

8. The Worst case occur in linear search algorithm when 
a. Item is somewhere in the middle of the array         b. Item is not in the array at all c. Item is the last element in the array      d. Item is the last element in the array or is not there at all

9. The Average case occur in linear search algorithm
a. When Item is somewhere in the middle of the array          b. When Item is not in the array at all c. When Item is the last element in the array
d. When Item is the last element in the array or is not there at all

10. The complexity of the average case of an algorithm is 
a. Much more complicated to analyze than that of worst case
b. Much more simpler to analyze than that of worst case
c. Sometimes more complicated and some other times simpler than that of worst case
d. None or above

11. The complexity of linear search algorithm is
a. O(n)             b. O(log n)                   c. O(n2)                       d. O(n log n)

12. The complexity of Bubble sort algorithm is 
a. O(n)             b. O(log n)                   c. O(n2)                       d. O(n log n)

13. Which of the following data structure is not linear data structure?
a. Arrays          b. Linked lists              c. Both of above          d. None of above

14. Which of the following data structure is linear data structure?
a. Trees            b. Graphs         c. Arrays          d. None of above

15. The operation of processing each element in the list is known as
a. Sorting         b. Merging       c. Inserting                  d. Traversal

16. Finding the location of the element with a given value is:
a. Traversal      b. Search         c. Sort              d. None of above

17. Arrays are best data structures
a. for relatively permanent collections of data
b. for the size of the structure and the data in the structure are constantly changing
c. for both of above situation              d. for none of above situation

18. Linked lists are best suited
a. for relatively permanent collections of data
b. for the size of the structure and the data in the structure are constantly changing
c. for both of above situation              d. for none of above situation

19. The elements of an array are stored successively in memory cells because
a. by this way computer can keep track only the address of the first element and the addresses of other elements can be calculated
b. the architecture of computer memory does not allow arrays to store other than serially
c. both of above                      d. none of above

20. Which of the following data structures are indexed structures?
a. linear arrays             b. linked lists               c. both of above          d. none of above 

21. Which of the following is not the required condition for binary search algorithm?
a. The list must be sorted
b. there should be the direct access to the middle element in any sublist
c. There must be mechanism to delete and/or insert elements in list
d. none of above

22. Which of the following is not a limitation of binary search algorithm?
a. must use a sorted array
b. requirement of sorted array is expensive when a lot of insertion and deletions are needed
c. there must be a mechanism to access middle element directly
d. binary search algorithm is not efficient when the data elements are more than 1000.

23. Two dimensional arrays are also called
a. tables arrays            b. matrix arrays           c. both of above          d. none of above

24. A variable P is called pointer if
a. P contains the address of an element in DATA.     b. P points to the address of first element in DATA
c. P can store only memory addresses            d. P contain the DATA and the address of DATA 

25. Which of the following data structure can't store the non-homogeneous data elements?
a. Arrays          b. Records       c. Pointers       d. None

26. Which of the following data structure store the non homogeneous data elements?
a. Arrays          b. Records       c. Pointers       d. None

27. Each data item in a record may be a group item composed of sub-items; those items which are indecomposable are called
a. elementary items     b. atoms           c. scalars          d. all of above

28. The difference between linear array and a record is
a. An array is suitable for homogeneous data but the data items in a record may have different data type
b. In a record, there may not be a natural ordering in opposed to linear array.
c. A record form a hierarchical structure but a lienear array does not
d. All of above

29. Which of the following statement is false?
a. Arrays are dense lists and static data structure
b. data elements in linked list need not be stored in adjecent space in memory
c. pointers store the next data element of a list
d. linked lists are collection of the nodes that contain information part and next pointer

30. Binary search algorithm cannot be applied to
a. sorted linked list      b. sorted binary trees   c. sorted linear array   d. pointer array

31. When new data are to be inserted into a data structure, but there is no available space; this situation is usually called
a. underflow    b. overflow      c. housefull      d. saturated 

32. Which of the following name does not relate to stacks?
a. FIFO lists                b. LIFO list                 c. Piles             d. Push-down lists


Current Trends in DS

Data Structures Presentation Slides

Unit 1
         1. Data Structure and Problem Solving
         2. Recursion
         3. Algorithmic Strategies

Unit 2

Unit 3

Unit 4

Unit 5

Unit 6

Data Structures CO




Course Objectives: 

1.     To understand the standard and abstract data representation methods.
2.     To acquaint with the structural constraints and advantages in usage of the data.
3.     To understand the memory requirement for various data structures.
4.     To operate on the various structured data.
5.     To understand various data searching and sorting methods with pros and cons.
6.     To understand various algorithmic strategies to approach the problem solution.

Course Outcomes:
 
On completion of the course, student will be able to–

1.     To discriminate the usage of various structures in approaching the problem solution.
2.     To design the algorithms to solve the programming problems.
3.     To use effective and efficient data structures in solving various Computer Engineering domain problems.
4.     To analyze the problems to apply suitable algorithm and data structure.
5.     To use appropriate algorithmic strategy for better efficiency