True/False Indicate whether the
statement is true or false.
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1.
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Before sending the compareTo message to an arbitrary
object, that object must be cast to Comparable.
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2.
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When the element type of an array is a reference type or interface, objects of
those types or any subtype (subclass or implementing class) can be directly inserted into the
array.
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3.
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After accessing an object in an array, care must be taken to send it the
appropriate messages or to cast it down to a type that can receive the appropriate messages.
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4.
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An ArrayList object’s physical size is
automatically updated as needed.
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5.
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An ArrayList object can hold primitives.
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6.
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The algorithm to compute the factorial of a number cannot be expressed in a
recursive algorithm.
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7.
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Consider the following method:
int recursiveMethod
(int n){ if (n == 1) return 1;
else return n * recursiveMethod(n - 2); }
This
recursive method would always complete its recursion.
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8.
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O(n log n) complexity is generally better (more efficient) than
O(n2).
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9.
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Consider an algorithm that is O(log n). Suppose you execute the algorithm
once where the value of n is 10 and a second time where the value of n is 1000. The
second execution will take three times longer than the first execution.
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10.
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The summation algorithm’s best, worst, and average cases are all
O(n).
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Multiple Choice Identify the
choice that best completes the statement or answers the question.
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11.
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The String class’s ____ method compares the
contents of two String objects, but ignores the case of the
characters.
a. | equalsCaseSensitive | c. | notEqualsCase | b. | equals | d. | equalsIgnoreCase |
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12.
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The String class’s ____ method removes any
white space from the beginning and end of a String object.
a. | removeSpace | c. | noWhiteSpace | b. | remove | d. | trim |
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13.
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Which of the following will return the number of characters in a String object named s1?
a. | s1.length | c. | s1.length() | b. | s1.size | d. | s1.size() |
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14.
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Consider the following code:
int search
(int[] a, int searchValue){ for (int i = 0; i < a.length;
i++) if (a[i] ==
searchValue) return i; return
-1; }
This method performs a ____ search on an array.
a. | simplistic | c. | linear | b. | binary | d. | conditional |
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15.
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Suppose an unsorted array of five integers contains the values {4, 2, 5, 1, 3}.
If a selection sort is performed on this array, the values stored in the array after the second pass
of the sorting algorithm would be ____.
a. | {4, 2, 5, 1, 3} | c. | {1, 2, 3, 5, 4} | b. | {1, 2, 3, 4, 5} | d. | {1, 2, 5, 4, 3} |
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16.
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Consider the following pseudocode:
For each k from 1
to n - 1 (k is the index of array element to insert) Set itemToInsert to
a[k] Set j to k - 1 (j starts at k - 1 and is decremented
until insertion position is
found) While (insertion position not found) and (not beginning
of array) If
itemToInsert <
a[j] Move
a[j] to index position j +
1 Decrement j by
1
Else The insertion position has
been found itemToInsert should
be positioned at index j + 1
This algorithm represents a(n) ____ sort.
a. | linear | c. | insertion | b. | selection | d. | bubble |
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17.
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Which of the following algorithms is a correct recursive algorithm for summing
n numbers?
a. | sum(n) = n + sum(n - 1) if n > 1 | b. | sum(1) = 1 sum(n) = n + sum(n - 1) if n > 1 | c. | sum(1) = 0 sum(n) = n + sum(n - 1) if n > 1 | d. | sum(1) = 1 sum(n) = n + sum(n - 1) if n >=
1 |
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18.
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A recursive method with no stopping state will result in ____ recursion.
a. | definite | c. | infinite | b. | incidental | d. | finite |
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19.
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Consider the following method:
int sum
(int[] a){ int result = 0; for (int i = 0; i < a.length;
i++){ result += a[i]; }
return result; }
The complexity of the algorithm represented by the method is
____.
a. | O(1) | c. | O(n) | b. | O(log n) | d. | O(n log
n) |
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20.
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A linear search has a complexity of ____.
a. | O(log n) | c. | O(n log n) | b. | O(n) | d. | O(n2) |
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21.
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Consider the following method:
int[]
sumRows (int[][] a){ int[] rowSum = new
int[a.length]; for (int row = 0; row < a.length;
row++){ for (int col = 0; col < a[row].length;
col++){ rowSum[row] +=
a[row][col]; }
} return rowSum; }
The complexity of the algorithm represented by
the method is ____.
a. | O(n) | c. | O(n2) | b. | O(n log
n) | d. | O(n3) |
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22.
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The complexity of a recursive algorithm for computing the nth Fibonacci
is ____.
a. | O(n) | c. | O(n3) | b. | O(n2) | d. | O(rn) |
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23.
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A thorough analysis of an algorithm’s complexity divides its behavior into
____ types of cases.
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24.
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Bubble sort’s best-case complexity is ____.
a. | O(1) | c. | O(n) | b. | O(log n) | d. | O(n2) |
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25.
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The binary search algorithm is ____.
a. | O(log n) | c. | O(n log n) | b. | O(n) | d. | O(n2) |
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