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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. The next element in a linked list
dereference
successor
grammar
stack space
2. The top node of a tree - from which all other nodes can be reached
alias
circularly linked list
root
simple data type
3. The number of links between the root of a tree and the leaves
descendants
inorder
immutable
depth
4. Composed of multiple sequential elements stored in contiguous bytes of memory
circularly linked list
ancestors
taxonomy
array
5. Describes a data structure or device in which all accesses have the same cost - O(1)
operator
random access
leaf
quadratic
6. Any effect of a procedure other than returning a value - e.g. printing or modifying a data structure
class
side-effect
base case
structure sharing
7. An order of processing a tree in which the parent node is processed after its children
stack space
postorder
link
successor
8. Constructed of multiple components (simple or complex types)
structure sharing
state
complex data type
association list
9. A simple case that can be solved easily - without recursion
amortized Analysis
shadow
recursion
base case
10. Last in first out: describes the order of a stack
LIFO
interior node
recursive case
reference type
11. To combine two ordered linear structures into one
boxed number
search
descendants
merge
12. A data structure representing a sequence of items - which are removed in the same order as they were inserted.
array
stack space
set difference
queue
13. A search in which children of a node are considered before siblings are considered
depth-first search
operator
backtrack
base case
14. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
linked list
side-effect
interior node
ontology
15. Describes a though experiment or view of an entity
taxonomy
stack frame
gedanken
side-effect
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
binary tree
dereference
pointer
fair
17. A process that removes unwanted elements from a collection
class
filter
search
linear O(n)
18. Describes a function that modifies its arguments
destructive
amortized Analysis
parent
circular queue
19. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
tail recursive
design pattern
intersection
merge
20. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
reference
boxed number
divide and conquer
node
21. A node of a tree that has children
interior node
grammar
array
pointer
22. A contiguous block of memory containing elements of the same type - accessed by numeric index
alias
root
filter
array
23. A collection of objects that are inserted and removed according to the LIFO principle
stack
backtrack
LIFO
data structure
24. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
simple ADT
set difference
depth
25. A description of the state of a process such as a board game
state
circularly linked list
simple ADT
complex ADT
26. A problem that is so hard that it cannot be solved unless the problem is small
complex data type
state
intractable
queue
27. To hide similar items with the same name
entinel
stack
successor
shadow
28. In a tree - a node that points to a given node
set difference
constructive
procedural abstraction
parent
29. Two variables that reference the same object
alias
taxonomy
goal
preorder
30. o(n^2) - a problem whose solution requires a quadratic amount of time or space if the problem is of size n
inorder
stack space
descendants
quadratic
31. A section of the runtime stack holding the values of all variables for one invocation
DFS
quadratic
stack frame
depth-first search
32. A linked list in which the last element points back to the first element
doubly linked list
circularly linked list
inorder
intractable
33. Any container with linear ordering
preorder
divide and conquer
recursion
general list
34. The area of program text over which a variable can be referenced
stack
scope
reference
pointer
35. 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?"
goal
amortized Analysis
recursion
algorithm
36. To modify the order of a set of elements so that a desired ordering holds between them - e.g. alphabetic order
big o
state
stack
sort
37. A collection of values
node
type
well-founded ordering xml
descendants
38. A problem whose solution requires a linear amount of time or space if the problem is size n
linear O(n)
base case
garbage
descendants
39. All nodes below a give node in a tree
reference type
descendants
complex ADT
preorder
40. 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
link
destructive
complex ADT
41. First in first out: describes ordering of a queue
fifo
design pattern
divide and conquer
interior node
42. storage that is no longer pointed to by any variable and therefore can no longer be accessed
data structure
reference type
association list
garbage
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
array
fair
side-effect
cons
44. In a tree search - to move back from the node currently being examined to its parent
cons
state
backtrack
descendants
45. In a search tree - a program that changes a state into a child state e.g a move in a game
scope
DFS
object
operator
46. The amount of space on the runtime stack required for execution of a program
search
stack space
reference type
garbage collection
47. A description of operations on a data type that could have multiple possible implementations
abstract data type
runtime stack
interior node
simple ADT
48. A condition of the input data where the data will be handled by call(s) to the same program
recursive case
doubly linked list
fifo
depth-first search
49. Describes a function that makes a new data structure but does not modify its arguments
big o
constructive
object
association list
50. Given two sets - the intersection is the set of elements that are members of both sets
preorder
well-founded ordering xml
structure sharing
intersection