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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. A pointer to data
reference
queue
tail recursive
child
2. A tree node containing a contents value but with no children
fair
leaf
DFS
circularly linked list
3. First-child/next-sibling
fair
ancestors
node
garbage collection
4. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
stack frame
algorithm
constructive
5. Given two sets - the intersection is the set of elements that are members of both sets
leaf
intersection
reference
recursive case
6. Give two sets - the set difference is the set of elements of the first set that are not members of the second set
set difference
divide and conquer
simple ADT
runtime stack
7. Any container with linear ordering
general list
ontology
constructive
procedural abstraction
8. In object oriented programming - a description of a set of similar objects
complex ADT
class
garbage
base case
9. A pattern that describes a set of similar programs
pointer
design pattern
type
immutable
10. A problem whose solution requires a linear amount of time or space if the problem is size n
node
postorder
linear O(n)
filter
11. Depth first search
branching factor
reference type
type
DFS
12. The top node of a tree - from which all other nodes can be reached
root
link
interior node
intractable
13. In a tree - the union of a node's parent and the parent's ancestors
data type
binary search tree (bst)
general list
ancestors
14. 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
big o
boxed number
union
garbage collection
15. An extra record at the start or end of a data structure such as a linked list - to simplify processing
constructive
entinel
stack
immutable
16. A collection of values
type
binary tree
side-effect
data structure
17. Separation of the properties of a data type from its implementation
data abstraction
gedanken
general list
immutable
18. A given collection of values along with a collection of operations for use on those values
simple data type
stack
stack frame
data type
19. An order of processing a tree in which the parent node is processed in between its children
simple ADT
object
class
inorder
20. A linked list in which the last element points back to the first element
circular queue
fair
structure sharing
circularly linked list
21. 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
boxed number
ontology
linear O(n)
big o
22. Constructed of multiple components (simple or complex types)
parent
branching factor
state
complex data type
23. Last in first out: describes the order of a stack
gedanken
branching factor
LIFO
data abstraction
24. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
destructive
structure sharing
data structure
branching factor
25. All nodes below a give node in a tree
recursion
descendants
successor
filter
26. The process of collecting garbage for recycling
garbage collection
doubly linked list
state
intractable
27. A classification of objects into a tree structure that groups related objects
filter
taxonomy
runtime stack
intersection
28. A stack containing a stack frame of variable value for each active invocation of procedure
recursive case
runtime stack
association list
destructive
29. Given two sets -the union is the set of elements that are members of either set
union
taxonomy
inorder
node
30. A list of pairs - where each pair has a key and a value associated with the key
garbage
association list
data abstraction
quadratic
31. A condition of the input data where the data will be handled by call(s) to the same program
recursive case
algorithm
node
intersection
32. The next element in a linked list
state
big o
pointer
successor
33. The number of links between the root of a tree and the leaves
array
depth
dictionary
branching factor
34. A problem that is so hard that it cannot be solved unless the problem is small
leaf
pointer
operator
intractable
35. Values are in the most basic form and cannot be decomposed into smaller parts
recursion
simple data type
algorithm
operator
36. A description of operations on a data type that could have multiple possible implementations
merge
successor
abstract data type
quadratic
37. Use of a function or method without knowing how it's accomplished
procedural abstraction
null dereference
binary tree
recursive case
38. The amount of space on the runtime stack required for execution of a program
set difference
stack space
type
complex data type
39. 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
data type
intractable
reference type
garbage collection
40. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
operator
inorder
divide and conquer
entinel
41. The area of program text over which a variable can be referenced
node
data abstraction
type
scope
42. A contiguous block of memory containing elements of the same type - accessed by numeric index
recursive case
algorithm
array
amortized Analysis
43. 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
successor
inorder
structure sharing
44. 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
type
filter
tail recursive
binary tree
45. binary tree that is ordered such that each node has contents - and all of its left descendants are less than the contents - an all of its right descendants are greater than the contents
array
circular queue
binary search tree (bst)
postorder
46. A section of the runtime stack holding the values of all variables for one invocation
merge
DFS
stack frame
recursion
47. An order of processing a tree in which the parent node is processed after its children
cons
postorder
backtrack
linked list
48. An item (or description of items) being sough in a search
operator
goal
intractable
ancestors
49. A case where tow data structures share some elements
structure sharing
depth
state
binary search tree (bst)
50. Describes a function that makes a new data structure but does not modify its arguments
constructive
stack
binary search tree (bst)
reference