FINAL TERM EXAMINATION
Spring 2010
CS301- Data Structures
Time: 90 min
Marks: 58
Question
No: 1 ( Marks: 1 ) - Please choose o
Which
one of the following operations returns top value of the stack?
► Push
► Pop
► Top
► First
Question
No: 2 ( Marks: 1 ) - Please choose
one
Compiler
uses which one of the following in Function calls,
► Stack
► Queue
► Binary Search Tree
► AVL Tree
Question
No: 3 ( Marks: 1 ) - Please choose
one
Every
AVL is _________________
► Binary Tree
► Complete Binary Tree
► None of these
►
Binary Search Tree
Question
No: 4 ( Marks: 1 ) - Please choose
one
If there
are 56 internal nodes in a binary tree then how many external nodes this binary
tree will have?
► 54
► 55
► 56
► 57
Question
No: 5 ( Marks: 1 ) - Please choose
one

► 23
► 24
► 21
► 22
Question
No: 6 ( Marks: 1 ) - Please choose
one
Which
one of the following is not an example of equivalence relation?
► Electrical connectivity
► Set of people
► <= relation
► Set of pixels
Question
No: 7 ( Marks: 1 ) - Please choose
one

► Unsorted
► Heterogeneous
► Random
Question
No: 8 ( Marks: 1 ) - Please choose
one

► Each list Si
contains the special keys + infinity and - infinity.
► List S0
contains the
keys of S in non-decreasing order.
► Each list is a subsequence of the previous one.
► List Sh contains only the n special
keys.
Question
No: 9 ( Marks: 1 ) - Please choose
one

► O(1) time because all lists take the same amount of
time to sort
► O(n) time because it has to perform n swaps to order
the list.
► O(n2) time because sorting 1 element
takes O(n) time - After 1 pass through the list,
either
of these algorithms can guarantee that 1 element is sorted.
► O(n3) time, because the worst case
has really random input which takes longer to
sort.
Question
No: 10 ( Marks: 1 ) - Please choose
one

► A binary tree of N external nodes has N internal
node.
► A binary tree of N internal nodes has
N+ 1 external node.
► A binary tree of N external nodes has N+ 1 internal
node.
► A binary tree of N internal nodes has N- 1 external
node.
Question
No: 11 ( Marks: 1 ) - Please choose
one
By using
__________we avoid the recursive method of traversing a Tree, which makes use
of stacks and consumes a lot of memory and time.
► Binary tree only
► Threaded binary tree
► Heap data structure
► Huffman encoding
Question
No: 12 ( Marks: 1 ) - Please choose
one

► This dummy node never has a value.
► This dummy node has always some dummy value.
► This dummy node has either no value or
some dummy value.
► This dummy node has always some integer value.
Question
No: 13 ( Marks: 1 ) - Please choose
one

► N – (h – 1)
► N – (h + 1)
► N – 1
► N – 1 + h
Question
No: 14 ( Marks: 1 ) - Please choose
one

► Two entries are identical except
for their keys.
► Two
entries with different data have the exact same key
► Two entries with different keys
have the same exact hash value.
► Two entries with the exact same key have
different hash values.
Question
No: 15 ( Marks: 1 ) - Please choose
one
Which
formula is the best approximation for the depth of a heap with n nodes?
► log (base 2) of n
► The number of digits in n (base 10), e.g., 145 has
three digits
► The square root of n
► n
Question
No: 16 ( Marks: 1 ) - Please choose
one
Which of
the following statement is NOT correct about find operation:
► It is not a
requirement that a find operation returns any specific name, just that finds on
two elements return the same answer if and only if they are in the same
set.
► One idea might be to use a tree to represent each
set, since each element in a tree has the same root, thus the root can be used
to name the set.
► Initially
each set contains one element.
►
Initially each set contains one element and it does not make sense to
make a tree of one node only.
Question
No: 17 ( Marks: 1 ) - Please choose
one

Which of
the following is not true regarding the maze generation?
► Randomly remove walls until the
entrance and exit cells are in the same set.
► Removing a wall is the same as
doing a union operation.
►
Remove a randomly chosen wall if the cells it separates are already in the same
set.
► Do not remove a randomly chosen wall if the
cells it separates are already in the same set.
Question
No: 18 ( Marks: 1 ) - Please choose
one
In
threaded binary tree the NULL pointers are replaced by ,
► preorder successor or predecessor
► inorder successor or predecessor
► postorder successor or predecessor
► NULL pointers are not replaced
Question
No: 19 ( Marks: 1 ) - Please choose
one
Which of
the given option is NOT a factor in Union by
Size:
► Maintain sizes (number of nodes) of all trees, and
during union.
► Make smaller tree, the subtree of the larger
one.
►
Make the larger tree, the subtree of the smaller one.
► Implementation: for each root node i, instead of
setting parent[i] to -1, set it to -k if tree rooted at i has k nodes.
Question
No: 20 ( Marks: 1 ) - Please choose
one
Suppose
we had a hash table whose hash function is “n % 12”, if the number 35 is
already in the hash table, which of the following numbers would cause a
collision?
► 144
► 145
► 143
► 148
Question
No: 21 ( Marks: 1 ) - Please choose
o
What
requirement is placed on an array, so that binary search may be used to locate an entry?
► The array elements must form a heap.
► The array must have at least 2 entries.
► The array must be sorted.
► The array’s size must be a power of two
Question
No: 22 ( Marks: 1 ) - Please choose
one
A binary
tree with 24 internal nodes has ______ external nodes.
► 22
► 23
► 48
► 25
Question
No: 23 ( Marks: 1 ) - Please choose
on
In case
of deleting a node from AVL tree, rotation could be prolong to the root node.
► Yes
► No
Question
No: 24 ( Marks: 1 ) - Please choose
one
when
we have declared the size of the array, it is not possible to increase or
decrease it during the ________of the program.
► Declaration
► Execution
► Defining
► None of the abov
Question
No: 25 ( Marks: 1 ) - Please choose
one
it
will be efficient to place stack elements at the start of the list because
insertion and removal take _______time.
► Variable
► Constant
► Inconsistent
► None of the above
Question
No: 26 ( Marks: 1 ) - Please choose
one

► isFull(),isEmpty()
► pop(), push()
► isEmpty() , isFull()
► push(),pop()
Question
No: 27 ( Marks: 2 )

Give the difference between
strict and complete binary tree.
Ans:
A
tree is a strictly binary tree if its each leaf node has non-empty left and
right sub trees, and
If
there are left and right sub-trees for each node in a binary tree is known as
complete binary tree.
Question
No: 28 ( Marks: 2 )
A
complete binary tree can be stored in an array. While storing the tree in an
array
we leave
the first position (0th index )of the array empty. Why?
Ans
Because
we need a pointer in an array to point a position of node of tree. parent node and the children
nodes. In case of having a node with
left and right children, stored at position i in the array, the left 2i and the right
child will be at 2i+1 position. If the value of i 2, the parent will be at position 2 and the
left child will be at position 2i i.e. 4 .The right child will be at position
2i+1 i.e. 5. we have not started the 0th
position. It is simply due to the fact if the position is 0, 2i will also
become
0. So we will start from the 1st
position, ignoring the 0th.
Question
No: 29 ( Marks: 2 )
Give the name of two Divide and
Conquer algorithms.
Ans:
- Merge sort
- Quick sort
- Heap sort
Question
No: 30 ( Marks: 2 )
Give the effect of sorted data on
Binary Search.
Question
No: 31 ( Marks: 3
Give
any three characteristics of Union by Weight
method.
Ans:
1.
This
is also calles union by size.
- Maintain sizes (number of
nodes) of all trees, and during union.
- Make smaller tree, the
subtree of the larger one.
- for each root node i,
instead of setting parent[i] to -1, set it
to
-k if tree rooted at i has k nodes.
Question
No: 32 ( Marks: 3 )

5
3 8 9
1 7 0
2 6 4
Draw
this array after the FIRST iteration of the large loop in an insertion sort
(sorting from smallest to largest). This iteration has shifted at least one
item in the array!
Question
No: 33 ( Marks: 3 )

Question
No: 34 ( Marks: 5 )
Suppose
we have the following representation for a complete Binary Search Tree, tell
the Left and Right child nodes and Parent node of the node D
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
…
|
|
0
|
1
|
2
|
3
|
4
|
5
|
6
|
7
|
8
|
9
|
10
|
11
|
12
|
13
|
14
|
15
|
16
|
17
|
18
|
19
|
20
|
…
|
Question
No: 35 ( Marks: 5 )

1. Collision
2. Linear Probing
3. Quadratic Probing
Ans:
Collision:
it takes
place when two or more keys (data items) produce the same index.
Linear
Probing
when
there is a collision, some other location in the array is found. This is known
as linear probing. In linear probing, at the time of collisions, we add one to
the index and check that location. If it is also not empty, we add 2 and check
that position. Suppose we keep on incrementing the array index and reach at the
end of the table. We were unable to find the space and reached the last
location of the array.
Quadratic
Probing
In the
quadratic probing when a collision happens we try to find the empty location at
index +
12. If it is filled then we add 22 and
so on.
Quadratic
probing uses different formula:
- Use F(i) = i2 (square of i) to resolve
collisions
- If hash function resolves to
H and a search in cell H is inconclusive, try
H
+ 12, H + 22, H + 32
Question
No: 36 ( Marks: 5 )

1 2
3 4 5
6 7 8
9 10 11
12 13 14
15.
Suppose
that we are doing a binary search for an element. Indicate any elements that
will be found by examining two or fewer numbers from the array.
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