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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 modify the order of a set of elements so that a desired ordering holds between them - e.g. alphabetic order
branching factor
sort
reference type
set difference
2. An order of processing a tree in which the parent node is processed before its children
structure sharing
preorder
queue
doubly linked list
3. Use of a function or method without knowing how it's accomplished
abstract data type
ontology
amortized Analysis
procedural abstraction
4. A pattern that describes a set of similar programs
ontology
array
divide and conquer
design pattern
5. A description of operations on a data type that could have multiple possible implementations
dereference
linked list
runtime stack
abstract data type
6. In a tree search - to move back from the node currently being examined to its parent
backtrack
scope
binary search tree (bst)
recursive case
7. The amount of space on the runtime stack required for execution of a program
merge
immutable
dictionary
stack space
8. In a tree - a node that points to a given node
entinel
random access
parent
linear O(n)
9. 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
alias
set difference
boxed number
pointer
10. A sequence of clear and precise step-by-step instructions for solving a problem in a finite amount of time
stack space
algorithm
depth-first search
type
11. A variable containing the address of other data
binary search tree (bst)
state
data structure
pointer
12. First-child/next-sibling
queue
fair
taxonomy
linear O(n)
13. Given two sets -the union is the set of elements that are members of either set
leaf
union
base case
merge
14. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
complex data type
ontology
big o
descendants
15. A runtime error that occurs when an operation such as method call is attempted on a null pointer
boxed number
null dereference
base case
recursive case
16. An order of processing a tree in which the parent node is processed after its children
postorder
binary tree
cons
runtime stack
17. Describes a function that modifies its arguments
reference
destructive
design pattern
divide and conquer
18. A data structure that can be identified at runtime as being a member of a class
DFS
object
filter
leaf
19. 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
shadow
stack
reference
branching factor
20. A list of pairs - where each pair has a key and a value associated with the key
association list
cons
entinel
null dereference
21. An extra record at the start or end of a data structure such as a linked list - to simplify processing
entinel
leaf
preorder
binary search tree (bst)
22. A contiguous block of memory containing elements of the same type - accessed by numeric index
immutable
side-effect
array
pointer
23. o(n^2) - a problem whose solution requires a quadratic amount of time or space if the problem is of size n
quadratic
array
linked list
root
24. A classification of objects into a tree structure that groups related objects
taxonomy
search
recursion
data abstraction
25. A queue implemented within an array - where the first elements of the array logically follows the last elements
circular queue
alias
algorithm
circularly linked list
26. Describes a though experiment or view of an entity
object
DFS
alias
gedanken
27. A simple case that can be solved easily - without recursion
base case
entinel
reference type
data structure
28. Constructed of multiple components (simple or complex types)
garbage
simple ADT
complex data type
data type
29. To hide similar items with the same name
state
branching factor
shadow
alias
30. In a search tree - a program that changes a state into a child state e.g a move in a game
well-founded ordering xml
root
doubly linked list
operator
31. 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
runtime stack
goal
circular queue
32. Container for storing a collection of data in unique key/value pairs
stack space
dictionary
array
linear O(n)
33. An order of processing a tree in which the parent node is processed in between its children
class
inorder
stack frame
quadratic
34. A linked list in which the last element points back to the first element
simple data type
postorder
stack
circularly linked list
35. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
node
reference
data structure
linear O(n)
36. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
fifo
quadratic
tail recursive
alias
37. Composed of multiple sequential elements stored in contiguous bytes of memory
complex ADT
side-effect
array
intractable
38. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
descendants
stack frame
well-founded ordering xml
dereference
39. A condition of the input data where the data will be handled by call(s) to the same program
destructive
big o
recursive case
filter
40. To look through a data structure until a goal object is found
simple ADT
depth
successor
search
41. Given two sets - the intersection is the set of elements that are members of both sets
intersection
cons
linked list
class
42. In a tree - a node pointed to by a parent node
well-founded ordering xml
child
binary search tree (bst)
dictionary
43. Values are in the most basic form and cannot be decomposed into smaller parts
interior node
inorder
simple data type
reference type
44. The number of links between the root of a tree and the leaves
preorder
shadow
algorithm
depth
45. A description of the state of a process such as a board game
null dereference
algorithm
state
tail recursive
46. First in first out: describes ordering of a queue
LIFO
fifo
amortized Analysis
operator
47. A stack containing a stack frame of variable value for each active invocation of procedure
runtime stack
queue
fair
circular queue
48. 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
node
ontology
queue
49. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
successor
sort
cons
divide and conquer
50. An item (or description of items) being sough in a search
parent
goal
pointer
reference