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    Sr No Question Option A whether correct ?

    1

    n a gor m s ma e up o mo u es an .

    order of M1 is f(n) and M2 is g(n) then the order of the

    algorithm is

    max (f (n) ,g

    (n))100

    2

    There are 4 different algorithms AI, A2, A3, A4 to solve

    a given problem with the order Iog(n), log(log(n)),nIog(n) ,n / log(n) respectively. Which is the best

    algorithm? A1

    0

    3The time required to search an element in a linked list

    of length n is . O(log2 n)0

    4

    .

    f(n) = n3, if 0n < 10,000

    n2, otherwise f(n) is O(n3)0

    5 What is the worst-case time for serial search finding a

    single item in an array? Constant time

    0

    6 ere ex s s wo unc ons n an g n e cons anc>0 and there exists an integer constant n0>=1 If f(n) f(n)= O(g(n)) 100

    7ere ex s s wo unc ons n an g n e cons an

    c>0 and there exists an integer constant n0>=1 If f(n) f(n)= O(g(n)) 0

    8

    oose e correc comp ex y or o ow ng co e

    while(n>0)
    {
    n=n/10
    } O(1) 0

    9 (n-1)*(n-5) is expressed in terms of big oh O(1) 0

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    Option B whether correct ? Option C whether correct ?

    min (f (n) ,g (n)

    )0

    f (n) + g (n)0

    A2

    100

    A3

    0

    O(n)100

    O(1)0

    . g(n) is O(n20

    same as

    O(g(n))0

    Logarithmic

    time

    0

    Linear time

    100

    f(n)=(g(n)) 0 f (n) =(g(n)) 0

    f(n)=(g(n)) 0 f (n) =(g(n)) 100

    O(n) 0 O(logn) 100

    O(n) 0 O(logn) 100

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    Option D whether correct marks Unit

    .f (n) x g (n )0

    2 3

    A4

    0

    O(n^2)0

    Both(b) and 100

    Quadratic time

    0

    f(n)= o(g(n)) 0

    f(n)= o(g(n)) 0

    O(n2) 0

    O(n2) 100

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    Sr No Question Option A whether correct ?

    1

    The concept of order (Big O) is important because

    it can e use

    to decide the

    best algorithm

    that solves a

    0

    2

    the input size, is given byT( n) = T( n - 1) + 1/n if n > 1 logn

    100

    3n e wors case, e num er o compar sons nee e

    to search a single linked list of length n for a given logn 0

    4

    ma ema ca -mo e w a co ec on o opera ons

    defined on that model is called Data Structure 0

    5 Data structure in which one predecessor may have one

    or more successor. Linear

    0

    6

    me ac or w e e erm n ng e e c ency o

    algorithm is measured by Counting Micro 0

    7

    c o e o ow ng s no e par o

    description? data 0

    8

    c a a s ruc ure s es su e o pr n e

    documents in the printer . Stacks 0

    9 What term is used to describe an O(n) algorithm. Constan 0

    10

    me requ re o c ec o e erm ne w e er a g ven

    no is prime quadratic 0

    11 The space factor is measured by----

    coun ng e

    maximum 100

    12

    e prac ce ---- s use o e ne g ower oun on

    growth of function f(n) big oh 0

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    Option B whether correct ? Option C whether correct ?

    it etermines

    the maximum

    size of a

    problem that

    100

    Both a & b

    0

    n0

    n20

    n/2 0 log(n/2)-1 0

    Abstract Data T 100pr m ve

    data type 0

    primitive

    0

    Non-linear

    100

    oun ng no o

    statements 0oun ng no

    of key 100

    operations 0 Both a & b 100

    Queues 100o s ac

    queue 0

    linear 100 logarithmic 0

    linear 100 logarithmic 0

    coun ng e

    minimum 0coun ng e

    aveage 0

    big omega 100 big theta 0

    0 0

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    Option D whether correct marks Unit

    None of the abo

    0

    nn0

    n 100

    algorithm 0

    None of the

    above

    0

    Counting key alg 0

    one o e

    above 0 1

    Arrays 0

    quadratic 0

    constant time 0 2coun ng e

    maximum disk 0

    none of these 0

    0

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    Sr No Question Option A whether correct ?

    1Which of the following symbols is used to denote a pre-

    processor statement?! 0

    2

    The concept of order (Big O) is important because

    it can e use

    to decide the

    best algorithm

    that solves a

    0

    3

    e me comp ex y o an a gor m n , w ere n s

    the input size, is given by logn 100

    4e or er o an a gor m a n s w e er a g ven

    Boolean function of 'n' variables, produces a 1 is constant 100

    5

    n e wors case, e num er o compar sons nee e

    to search a single linked list of length n for a given logn 0

    6

    ma ema ca -mo e w a co ec on o opera ons

    defined on that model is called Data Structure 0

    7

    e erm a a s ruc ure re ers o -----------an

    interelationship beween them

    rogramm ng

    language 0

    8 Array is an example ofa c a a

    structure 0

    9 Two main measures for the efficiency of algorithm are Time and space 100

    10 The complexity of the average case of an algorithm is

    uc more

    complicated to 100

    11

    a a w c can e v e ur er n o mean ng u

    pieces is Atomic data 100

    12c o e o ow ng s no e par o

    description? data 0

    13 . is not the component of data structure. operations 0

    14 What term is used to describe an O(n) algorithm. Constan 0

    31 0

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    Option B whether correct ? Option C whether correct ?

    # 100 ~ 0

    it etermines

    the maximum

    size of a

    problem that

    100

    Both a & b

    0

    n 0 n2 0

    linear 0 logarithmic 0

    n/2 0 log(n/2)-1 0

    Abstract Data T 100pr m ve

    data type 0

    o ng

    Standards. 0rgan za on

    of data 100

    Dynamic Data S 0 Linear data st 0

    Processor and 0 Data and Spa 0

    Much more sim 0ome mes

    more 0

    Primitive data 0ompos e

    data 0

    operations 0 Both a & b 100

    s orage

    structures 0 algorithms 0

    linear 100 logarithmic 0

    0 0

    0 0

    0 0

    0 0

    0 0

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    0 0

    0 0

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    0 0

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    Option D whether correct marks Unit

    ;0

    1 3

    None of the abo

    0

    nn 0

    exponential 0

    n 100

    algorithm 0

    None of this 0

    both a & c 100

    omp ex y an

    capacity 0

    None or above 0

    one o e

    above 0

    one o e

    above 0 1none o e

    above 100

    quadratic 0

    0

    0

    0

    0

    0

    0

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    0

    0

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