ZS Associate DSA Questions and Answers Quiz-1

Question 1

Time: 00:00:00
What is meant by physical size in a dynamic array?

The size allocated to elements

The size allocated to elements

The size extended to add new elements

The size extended to add new elements

The size of the underlying array at the back-end

The size of the underlying array at the back-end

The size visible to users

The size visible to users

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A

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Question 2

Time: 00:00:00
What is the time complexity for inserting/deleting at the beginning of the array?

O(1)

O(1)

O(n)

O(n)

O(logn)

O(logn)

O(nlogn)

O(nlogn)

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Question 3

Time: 00:00:00
What is the functionality of the following code? Choose the most appropriate answer.







public int function()

{

	if(head == null)

		return Integer.MIN_VALUE;

	int var;

	Node temp = head;

	while(temp.getNext() != head)

		temp = temp.getNext();

	if(temp == head)

	{

		var = head.getItem();

		head = null;

		return var;

	}

	temp.setNext(head.getNext());

	var = head.getItem();

	head = head.getNext();

	return var;

}







Return data from the end of the list

Return data from the end of the list

Returns the data and deletes the node at the end of the list

Returns the data and deletes the node at the end of the list

Returns the data from the beginning of the list

Returns the data from the beginning of the list

Returns the data and deletes the node from the beginning of the list

Returns the data and deletes the node from the beginning of the list

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Question 4

Time: 00:00:00
What is the condition for an equivalence relation if two cities are related within a country?

the two cities should have a one-way connection

the two cities should have a one-way connection

the two cities should have a two-way connection

the two cities should have a two-way connection

the two cities should be in different countries

the two cities should be in different countries

no equivalence relation will exist between two cities

no equivalence relation will exist between two cities

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Question 5

Time: 00:00:00
What is the functionality of the following piece of code?







public void fun(int x)

{

	q1.offer(x);

}







Perform push() with push as the costlier operation

Perform push() with push as the costlier operation

Perform push() with pop as the costlier operation

Perform push() with pop as the costlier operation

Perform pop() with push as the costlier operation

Perform pop() with push as the costlier operation

Perform pop() with pop as the costlier operation

Perform pop() with pop as the costlier operation

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Question 6

Time: 00:00:00
Making the pop operation costly, select the code snippet which implements the same.
a)







public int pop()

{

	int res=-999,count=0;

	if(q1.size()>0)

        {

		count = q1.size();

		while(count>0)

			q2.offer(q1.poll());

		res = q1.poll();

	}

	if(q2.size()>0)

        {

		count = q2.size();

		while(count>0)

			q1.offer(q2.poll());

		res = q2.poll();

	}

	return res;

}








b)







public int pop()

{

	int res=-999,count=0;

	if(q1.size()>0)

        {

		count = q1.size();

		while(count>1)

			q2.offer(q1.poll());

		res = q2.poll();

	}

	if(q2.size()>0)

        {

		count = q2.size();

		while(count>1)

			q1.offer(q2.poll());

		res = q1.poll();

	}

	return res;

}








c)







public int pop()

{

	int res=-999,count=0;

	if(q1.size()>0)

        {

		count = q1.size();

		while(count>1)

			q2.offer(q1.poll());

		res = q1.poll();

	}

	if(q2.size()>0)

        {

		count = q2.size();

		while(count>1)

			q1.offer(q2.poll());

		res = q2.poll();

	}

	return res;



d) None of the mentioned







a)

a)

b)

b)

c)

c)

d)

d)

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Question 7

Time: 00:00:00
After applying the below operations on a input sequence, what happens?
i. construct a cartesian tree for input sequence
ii. put the root element of above tree in a priority queue
iii. if( priority queue is not empty) then
.search and delete minimum value in priority queue
.add that to output
.add cartesian tree children of above node to priority queue

constructs a cartesian tree

constructs a cartesian tree

sorts the input sequence

sorts the input sequence

does nothing

does nothing

produces some random output

produces some random output

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Question 8

Time: 00:00:00
Which of the following can be called a parallel array implementation?
a)







   firstName  = ['Joe','Bob','Frank','Hans']

   lastName   = ['Smith','Seger','Sinatra','Schultze']

   heightInCM = [169,158,201,199]

 

   for i in xrange(len(firstName)):

       print "Name:",firstName[i], lastName[i]

       print "Height in CM:,",heightInCM[i]








b)







   firstName  = ['Joe','Bob','Frank','Hans']

   lastName   = ['Smith','Seger']

   heightInCM = [169,158]

 

   for i in xrange(len(firstName)):

       print "Name:",firstName[i], lastName[i]

       print "Height in CM:,",heightInCM[i]








c)







   firstName  = ['Joe','Bob']

   lastName   = ['Smith','Seger','Sinatra','Schultze']

   heightInCM = [169,158]

 

   for i in xrange(len(firstName)):

       print "Name:",firstName[i], lastName[i]

       print "Height in CM:,",heightInCM[i]








d) None of the mentioned

a)

a)

b)

b)

c)

c)

d)

d)

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Question 9

Time: 00:00:00
Given the code ,choose the correct option that is consistent with the code







	build(A,i)

	left-> 2*i

	right->2*i +1

	temp- > i

	if(left<= heap_length[A] ans A[left] >A[temp])

	temp -> left

	if (right = heap_length[A] and A[right] > A[temp])

	temp->right

	if temp!= i

	swap(A[i],A[temp])

	build(A,temp)








Here A is the heap

It is the build function of max heap

It is the build function of max heap

It is the build function of min heap

It is the build function of min heap

It is general build function of any heap

It is general build function of any heap

None of the mentioned

None of the mentioned

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Question 10

Time: 00:00:00
If row-major order is used, how is the following matrix stored in memory?
a b c
d e f
g h i

ihgfedcba

ihgfedcba

abcdefghi

abcdefghi

cfibehadg

cfibehadg

adgbehcfi

adgbehcfi

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August 16, 2019