Computer Science Test MCQs, Data Structures

Last modified on September 12th, 2020

Computer Science Test MCQs, Data Structures

Set 3

Question:1

The main measure of the efficiency of the algorithm

A. Process and memory

B. Time and space

C. Date and space

D. Complexity and capacity

Ans:b

Question:2

Big-oh allows the possibility the growth rates are the

A. different     

B. Same      

C. Greater 

D. None of these

Ans:b

Question : 3

Whish Symbol tell us logarithms grows very slowly.

A. logkN=O(N)

B. Log(N)

C. Log2(N)

D. Nlog(N)

Ans:a

Question: 4

The Relative growth rates of two functions f(N) and g(N) by Limn->0f(N)/g(N) then

A. f (N)= o(g(N))

B. f ( N)+o(g(N))

C. G(N)=o(f))

Ans: c

Question: 5

Gcf()

A. greater common divisor

B. greatest common divisor

C. greatest common divior

D. none of above

Ans:b

Question: 6

If MSN then M mod

A. N<M/2

B. N>=M/2

C. N<=M/2

D. N>M/2

Ans:a

Question: 7

An online algorithm that runs in

A. binary search

B. fraction time

C. Buble search

D. linear search

Ans:d

Question: 8

In maximum subsequence, the input size is N=100,000 then O(N3)

A. 3.33

B. 86.67

C. NA

D. 0.03332

Ans:c

Question: 9

N power 2 symbol is

A. quadratic

B. cubic

C. linear

D. constant

Ans:a

Question:10

Log2N symbol is

A. logarithm

B. long-square

C. exponent

D. linear

Ans:a

Question: 11

Euclid algorithm is used for computing the.

A. The complexity of bubble sort

B. Time complexity

C. common divisor

D. the complexity of the binary search 

Ans:c

Question: 12

The complexity of linear search algorithms.

A. C(n)

B. o(logn)

C. o(n2)

D. o (nlogn)

Ans:a

Question: 13

The complexity of the buble sort algorithm

A. O(n)

B. Olog(n)

C. O(n)

D. O(nlogn)

Ans:c

Question: 14

The complexity of merge sort algorithm

A. O(n)

B. O(log(n)

C. O(n2)

D. O(n log (n)

Ans:d

Question: 15

Which of the following case does not exist in complexity theory?

A. best case

B. worst case

C. average case

D. null case

Ans:d

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