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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 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
garbage collection
reference type
postorder
preorder
2. Separation of the properties of a data type from its implementation
structure sharing
branching factor
data abstraction
binary search tree (bst)
3. A case where a program calls itself
recursion
destructive
filter
abstract data type
4. All nodes below a give node in a tree
set difference
descendants
big o
intersection
5. 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
algorithm
array
dictionary
cons
6. 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
boxed number
binary tree
association list
state
7. First in first out: describes ordering of a queue
root
circular queue
complex data type
fifo
8. In a search tree - a program that changes a state into a child state e.g a move in a game
operator
binary search tree (bst)
association list
complex data type
9. storage that is no longer pointed to by any variable and therefore can no longer be accessed
postorder
recursive case
successor
garbage
10. The amount of space on the runtime stack required for execution of a program
stack space
depth
quadratic
simple data type
11. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
divide and conquer
association list
circular queue
LIFO
12. A search in which children of a node are considered before siblings are considered
child
depth-first search
intractable
set difference
13. In a tree - a node that points to a given node
interior node
parent
amortized Analysis
intractable
14. A description of operations on a data type that could have multiple possible implementations
array
operator
abstract data type
array
15. A list of pairs - where each pair has a key and a value associated with the key
linear O(n)
filter
association list
structure sharing
16. An item (or description of items) being sough in a search
quadratic
set difference
goal
garbage
17. A stack containing a stack frame of variable value for each active invocation of procedure
runtime stack
backtrack
dereference
null dereference
18. A pointer to the next element in a linked list
general list
link
tail recursive
taxonomy
19. Container for storing a collection of data in unique key/value pairs
set difference
dictionary
successor
queue
20. 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
type
recursive case
operator
21. A problem whose solution requires a linear amount of time or space if the problem is size n
linear O(n)
garbage collection
link
boxed number
22. A collection of objects that are inserted and removed according to the LIFO principle
recursive case
LIFO
stack
type
23. A problem that is so hard that it cannot be solved unless the problem is small
node
amortized Analysis
object
intractable
24. A case where tow data structures share some elements
shadow
union
structure sharing
fair
25. In object oriented programming - a description of a set of similar objects
class
reference
fifo
quadratic
26. A classification of objects into a tree structure that groups related objects
random access
stack
taxonomy
array
27. 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
big o
interior node
garbage collection
data abstraction
28. Given two sets - the intersection is the set of elements that are members of both sets
root
intractable
intersection
child
29. A linked list in which the last element points back to the first element
circularly linked list
side-effect
abstract data type
parent
30. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
garbage collection
intractable
tail recursive
big o
31. o(n^2) - a problem whose solution requires a quadratic amount of time or space if the problem is of size n
filter
stack frame
garbage collection
quadratic
32. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
linked list
simple ADT
node
33. A pointer to data
sort
scope
reference
recursion
34. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
DFS
simple ADT
data structure
procedural abstraction
35. A section of the runtime stack holding the values of all variables for one invocation
stack frame
well-founded ordering xml
DFS
abstract data type
36. Describes a function that modifies its arguments
association list
array
destructive
DFS
37. A queue implemented within an array - where the first elements of the array logically follows the last elements
circular queue
simple data type
grammar
doubly linked list
38. Use of a function or method without knowing how it's accomplished
filter
association list
procedural abstraction
parent
39. An order of processing a tree in which the parent node is processed before its children
stack space
queue
preorder
union
40. A condition of the input data where the data will be handled by call(s) to the same program
recursive case
shadow
doubly linked list
reference type
41. To answer the question - "If the algorithm is run several times - what is the average time per run - given the worst possible sequence of runs?"
general list
amortized Analysis
merge
garbage
42. A pattern that describes a set of similar programs
design pattern
structure sharing
branching factor
node
43. 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
recursion
divide and conquer
LIFO
binary search tree (bst)
44. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
design pattern
ontology
child
node
45. Composed of a collection of data values; implemented with a data structure
garbage collection
complex ADT
backtrack
filter
46. A simple case that can be solved easily - without recursion
simple ADT
linear O(n)
base case
runtime stack
47. 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
depth-first search
branching factor
array
structure sharing
48. To combine two ordered linear structures into one
merge
data type
depth-first search
linked list
49. A sequence of records - where each record contains a link to the next one
parent
linked list
child
recursive case
50. To convert from a pointer to the data that is pointed to
filter
grammar
dereference
data structure