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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. An order of processing a tree in which the parent node is processed after its children
postorder
stack space
destructive
complex ADT
2. Given two sets - the intersection is the set of elements that are members of both sets
depth
filter
intersection
design pattern
3. A collection of objects that are inserted and removed according to the LIFO principle
stack
base case
data type
data abstraction
4. The amount of space on the runtime stack required for execution of a program
constructive
dereference
stack space
successor
5. A node of a tree that has children
filter
structure sharing
dereference
interior node
6. A list of pairs - where each pair has a key and a value associated with the key
binary search tree (bst)
big o
binary tree
association list
7. A linked list in which each elements has both forward and backward pointers
root
doubly linked list
linear O(n)
well-founded ordering xml
8. A runtime error that occurs when an operation such as method call is attempted on a null pointer
random access
DFS
leaf
null dereference
9. A linked list in which the last element points back to the first element
circularly linked list
reference type
successor
simple ADT
10. 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
complex data type
interior node
binary tree
cons
11. 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
data structure
fair
binary search tree (bst)
filter
12. storage that is no longer pointed to by any variable and therefore can no longer be accessed
type
taxonomy
amortized Analysis
garbage
13. A problem that is so hard that it cannot be solved unless the problem is small
runtime stack
intractable
structure sharing
design pattern
14. In a tree search - to move back from the node currently being examined to its parent
descendants
backtrack
stack frame
dereference
15. The top node of a tree - from which all other nodes can be reached
root
inorder
garbage collection
stack space
16. 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
linear O(n)
grammar
state
big o
17. 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
entinel
runtime stack
cons
union
18. Constructed of multiple components (simple or complex types)
union
complex data type
grammar
procedural abstraction
19. Container for storing a collection of data in unique key/value pairs
dictionary
divide and conquer
runtime stack
node
20. Two variables that reference the same object
union
node
alias
stack
21. A sequence of clear and precise step-by-step instructions for solving a problem in a finite amount of time
queue
algorithm
link
complex data type
22. A contiguous block of memory containing elements of the same type - accessed by numeric index
array
child
doubly linked list
fair
23. A problem whose solution requires a linear amount of time or space if the problem is size n
interior node
grammar
node
linear O(n)
24. To look through a data structure until a goal object is found
interior node
search
gedanken
taxonomy
25. 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
reference
amortized Analysis
branching factor
stack frame
26. A formal description of a language in terms of vocabulary and rules for writing phrases and sentences
grammar
scope
search
postorder
27. An extra record at the start or end of a data structure such as a linked list - to simplify processing
entinel
filter
array
branching factor
28. Use of a function or method without knowing how it's accomplished
linear O(n)
procedural abstraction
amortized Analysis
abstract data type
29. First in first out: describes ordering of a queue
fifo
circular queue
constructive
depth-first search
30. In a tree - a node that points to a given node
null dereference
parent
ontology
random access
31. A stack containing a stack frame of variable value for each active invocation of procedure
big o
leaf
runtime stack
inorder
32. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
type
gedanken
procedural abstraction
tail recursive
33. A data structure that can be identified at runtime as being a member of a class
descendants
object
binary tree
dictionary
34. A pattern that describes a set of similar programs
algorithm
destructive
design pattern
side-effect
35. Last in first out: describes the order of a stack
queue
LIFO
algorithm
child
36. Composed of multiple sequential elements stored in contiguous bytes of memory
array
node
reference
goal
37. A tree node containing a contents value but with no children
leaf
association list
object
base case
38. In a tree - a node pointed to by a parent node
procedural abstraction
backtrack
child
structure sharing
39. A description of the state of a process such as a board game
inorder
state
abstract data type
stack
40. 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?"
recursive case
operator
taxonomy
amortized Analysis
41. The area of program text over which a variable can be referenced
interior node
depth
divide and conquer
scope
42. A classification of objects into a tree structure that groups related objects
taxonomy
root
postorder
random access
43. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
branching factor
divide and conquer
circular queue
design pattern
44. 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
data structure
entinel
filter
45. An order of processing a tree in which the parent node is processed in between its children
successor
inorder
null dereference
procedural abstraction
46. A data structure representing a sequence of items - which are removed in the same order as they were inserted.
queue
intersection
grammar
random access
47. A variable containing the address of other data
pointer
linear O(n)
binary search tree (bst)
cons
48. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
data structure
recursive case
depth-first search
data abstraction
49. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
successor
reference type
taxonomy
50. A condition of the input data where the data will be handled by call(s) to the same program
merge
recursive case
complex ADT
intersection