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Test your basic knowledge |
Data Structures
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. To convert from a pointer to the data that is pointed to
algorithm
tail recursive
stack
dereference
2. A simple case that can be solved easily - without recursion
node
class
base case
postorder
3. In object oriented programming - a description of a set of similar objects
circular queue
child
class
simple ADT
4. A contiguous block of memory containing elements of the same type - accessed by numeric index
root
ancestors
array
ontology
5. Use of a function or method without knowing how it's accomplished
sort
binary search tree (bst)
procedural abstraction
amortized Analysis
6. An abstracted function that describes the amount of computer time or memory space required by an algorithm - as a function of problem size. for problems larger than a certain size - the actual time or space required will be less than the Big O multip
search
alias
preorder
big o
7. A collection of values
pointer
base case
data structure
type
8. A number that is defined as an object so that it has a runtime type and methods that can be used - e.g. Integer in Java
boxed number
state
depth-first search
child
9. The top node of a tree - from which all other nodes can be reached
recursive case
root
stack frame
well-founded ordering xml
10. A description of the state of a process such as a board game
data abstraction
state
successor
complex ADT
11. An order of processing a tree in which the parent node is processed after its children
recursion
depth
postorder
shadow
12. First in first out: describes ordering of a queue
quadratic
stack frame
fifo
complex ADT
13. Two variables that reference the same object
alias
ancestors
data structure
filter
14. To hide similar items with the same name
structure sharing
reference type
shadow
parent
15. A description of operations on a data type that could have multiple possible implementations
abstract data type
taxonomy
node
fifo
16. A data structure that implements a complete binary tree within an array - such that every parent node has a value that is less than the value of either of its children
abstract data type
well-founded ordering xml
binary tree
circularly linked list
17. A linked list in which each elements has both forward and backward pointers
reference type
well-founded ordering xml
type
doubly linked list
18. A data structure representing a sequence of items - which are removed in the same order as they were inserted.
linear O(n)
successor
structure sharing
queue
19. Composed of individually named data fields
node
simple ADT
constructive
ancestors
20. Separation of the properties of a data type from its implementation
array
stack
data abstraction
operator
21. A queue implemented within an array - where the first elements of the array logically follows the last elements
big o
circular queue
node
complex ADT
22. Given two sets -the union is the set of elements that are members of either set
DFS
data type
union
fair
23. To combine two ordered linear structures into one
gedanken
simple ADT
doubly linked list
merge
24. A linked list in which the last element points back to the first element
circularly linked list
dictionary
linked list
abstract data type
25. An order of processing a tree in which the parent node is processed before its children
leaf
preorder
grammar
gedanken
26. An order of processing a tree in which the parent node is processed in between its children
inorder
design pattern
cons
doubly linked list
27. 1. In lisp - the function that constructs a pair of points - or basic elements of list structure. 2. To make a cons data structure 2. a cons data structure
cons
depth
preorder
big o
28. First-child/next-sibling
algorithm
intractable
fair
garbage
29. In a search tree - the number of children of a given node. often - the branching factors of individual nodes will vary - so an average value may be used
branching factor
circularly linked list
stack
divide and conquer
30. Describes a function that makes a new data structure but does not modify its arguments
divide and conquer
recursion
leaf
constructive
31. In a tree - a node that points to a given node
array
backtrack
branching factor
parent
32. A type in which variables of that type are pointers to objects. in the code integer i = 3 - the variable i holds a pointer to the integer object that contains the value. in in j = 3 - the variable j contains the value. in java - only reference types
constructive
shadow
parent
reference type
33. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
tail recursive
cons
successor
entinel
34. Composed of multiple sequential elements stored in contiguous bytes of memory
pointer
recursive case
grammar
array
35. An item (or description of items) being sough in a search
goal
complex ADT
merge
algorithm
36. A case where a program calls itself
recursion
root
garbage
scope
37. Any container with linear ordering
dictionary
array
general list
alias
38. A node of a tree that has children
stack space
shadow
interior node
dereference
39. Any effect of a procedure other than returning a value - e.g. printing or modifying a data structure
side-effect
successor
array
simple data type
40. In a search tree - a program that changes a state into a child state e.g a move in a game
operator
garbage collection
random access
recursion
41. A problem that is so hard that it cannot be solved unless the problem is small
doubly linked list
DFS
array
intractable
42. Describes a data structure or device in which all accesses have the same cost - O(1)
entinel
garbage
random access
set difference
43. Give two sets - the set difference is the set of elements of the first set that are not members of the second set
stack
set difference
doubly linked list
fair
44. To look through a data structure until a goal object is found
search
postorder
linear O(n)
ontology
45. Composed of a collection of data values; implemented with a data structure
interior node
tail recursive
postorder
complex ADT
46. storage that is no longer pointed to by any variable and therefore can no longer be accessed
algorithm
dereference
garbage
reference type
47. A pointer to the next element in a linked list
random access
circularly linked list
link
complex data type
48. A problem whose solution requires a linear amount of time or space if the problem is size n
inorder
linear O(n)
queue
structure sharing
49. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
union
reference
well-founded ordering xml
linked list
50. A given collection of values along with a collection of operations for use on those values
LIFO
data type
stack space
grammar