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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 number of links between the root of a tree and the leaves
reference type
depth
recursion
linked list
2. In a tree - a node pointed to by a parent node
intractable
alias
successor
child
3. A process that removes unwanted elements from a collection
branching factor
filter
recursion
random access
4. A contiguous block of memory containing elements of the same type - accessed by numeric index
array
binary search tree (bst)
ontology
link
5. Any container with linear ordering
data type
entinel
stack space
general list
6. A formal description of a language in terms of vocabulary and rules for writing phrases and sentences
simple data type
complex data type
grammar
tail recursive
7. An item (or description of items) being sough in a search
fifo
stack frame
goal
entinel
8. A linked list in which the last element points back to the first element
circularly linked list
root
merge
set difference
9. An elements of a linked list - tree - or graph - often represented by a data structure
root
null dereference
binary tree
node
10. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
runtime stack
algorithm
ontology
base case
11. Composed of multiple sequential elements stored in contiguous bytes of memory
binary search tree (bst)
fifo
gedanken
array
12. A list of pairs - where each pair has a key and a value associated with the key
fair
side-effect
leaf
association list
13. 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
linked list
general list
14. An order of processing a tree in which the parent node is processed before its children
side-effect
data abstraction
operator
preorder
15. 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
boxed number
intersection
binary search tree (bst)
filter
16. The top node of a tree - from which all other nodes can be reached
base case
structure sharing
root
descendants
17. Composed of a collection of data values; implemented with a data structure
shadow
amortized Analysis
complex ADT
side-effect
18. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
data type
scope
garbage collection
data structure
19. Given two sets -the union is the set of elements that are members of either set
binary search tree (bst)
tail recursive
state
union
20. A node of a tree that has children
parent
interior node
ancestors
search
21. A linked list in which each elements has both forward and backward pointers
parent
successor
doubly linked list
general list
22. A case where tow data structures share some elements
structure sharing
complex data type
sort
runtime stack
23. 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?"
data structure
data abstraction
array
amortized Analysis
24. A variable containing the address of other data
goal
pointer
fifo
depth
25. The area of program text over which a variable can be referenced
random access
fifo
depth
scope
26. A description of the state of a process such as a board game
state
entinel
gedanken
ontology
27. All nodes below a give node in a tree
garbage
class
garbage collection
descendants
28. A sequence of clear and precise step-by-step instructions for solving a problem in a finite amount of time
algorithm
operator
type
design pattern
29. Depth first search
DFS
ontology
design pattern
reference
30. A simple case that can be solved easily - without recursion
base case
garbage collection
reference
side-effect
31. To hide similar items with the same name
design pattern
entinel
shadow
parent
32. A problem whose solution requires a linear amount of time or space if the problem is size n
linear O(n)
algorithm
root
queue
33. A problem that is so hard that it cannot be solved unless the problem is small
fair
intractable
shadow
alias
34. Use of a function or method without knowing how it's accomplished
procedural abstraction
taxonomy
reference type
linked list
35. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
tail recursive
intractable
well-founded ordering xml
filter
36. A queue implemented within an array - where the first elements of the array logically follows the last elements
simple data type
circular queue
doubly linked list
set difference
37. 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
cons
boxed number
operator
structure sharing
38. To modify the order of a set of elements so that a desired ordering holds between them - e.g. alphabetic order
operator
class
sort
merge
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
interior node
alias
array
reference type
40. A classification of objects into a tree structure that groups related objects
fifo
taxonomy
object
child
41. Describes a function that makes a new data structure but does not modify its arguments
binary tree
constructive
null dereference
tail recursive
42. Describes a function that modifies its arguments
set difference
dereference
intersection
destructive
43. 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
branching factor
garbage
data abstraction
filter
44. A collection of values
intractable
filter
data structure
type
45. A condition of the input data where the data will be handled by call(s) to the same program
descendants
recursion
recursive case
child
46. Constructed of multiple components (simple or complex types)
complex data type
tail recursive
fifo
preorder
47. In a search tree - a program that changes a state into a child state e.g a move in a game
leaf
big o
data abstraction
operator
48. A given collection of values along with a collection of operations for use on those values
complex ADT
data type
constructive
LIFO
49. The process of collecting garbage for recycling
divide and conquer
destructive
union
garbage collection
50. Give two sets - the set difference is the set of elements of the first set that are not members of the second set
successor
scope
big o
set difference