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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 problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
divide and conquer
depth-first search
scope
ontology
2. 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?"
design pattern
base case
association list
amortized Analysis
3. To modify the order of a set of elements so that a desired ordering holds between them - e.g. alphabetic order
sort
backtrack
taxonomy
amortized Analysis
4. A pattern that describes a set of similar programs
intersection
big o
branching factor
design pattern
5. A variable containing the address of other data
link
complex ADT
descendants
pointer
6. A collection of values
set difference
operator
type
object
7. Given two sets -the union is the set of elements that are members of either set
union
parent
general list
abstract data type
8. A search in which children of a node are considered before siblings are considered
branching factor
doubly linked list
depth-first search
tail recursive
9. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
recursive case
quadratic
dictionary
ontology
10. The top node of a tree - from which all other nodes can be reached
stack
ancestors
root
complex data type
11. 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
descendants
gedanken
linear O(n)
cons
12. Composed of individually named data fields
simple ADT
taxonomy
tail recursive
scope
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
goal
stack frame
linear O(n)
big o
14. A section of the runtime stack holding the values of all variables for one invocation
object
stack frame
interior node
sort
15. Values are in the most basic form and cannot be decomposed into smaller parts
dictionary
simple data type
reference type
gedanken
16. To hide similar items with the same name
LIFO
depth
shadow
postorder
17. A description of the state of a process such as a board game
simple ADT
stack space
cons
state
18. Given two sets - the intersection is the set of elements that are members of both sets
random access
goal
intersection
design pattern
19. In object oriented programming - a description of a set of similar objects
doubly linked list
class
linked list
ancestors
20. A stack containing a stack frame of variable value for each active invocation of procedure
intractable
destructive
preorder
runtime stack
21. The number of links between the root of a tree and the leaves
depth
random access
interior node
gedanken
22. An item (or description of items) being sough in a search
goal
postorder
depth-first search
doubly linked list
23. 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
procedural abstraction
inorder
doubly linked list
binary tree
24. To look through a data structure until a goal object is found
search
union
queue
reference type
25. An order of processing a tree in which the parent node is processed before its children
divide and conquer
constructive
preorder
ontology
26. A case where tow data structures share some elements
simple data type
association list
structure sharing
search
27. An order of processing a tree in which the parent node is processed in between its children
structure sharing
inorder
ancestors
backtrack
28. A problem whose solution requires a linear amount of time or space if the problem is size n
goal
linear O(n)
boxed number
fair
29. The area of program text over which a variable can be referenced
descendants
node
destructive
scope
30. In a tree - a node pointed to by a parent node
ontology
child
alias
big o
31. A data structure representing a sequence of items - which are removed in the same order as they were inserted.
postorder
queue
goal
quadratic
32. The amount of space on the runtime stack required for execution of a program
null dereference
taxonomy
stack space
complex data type
33. A process that removes unwanted elements from a collection
filter
circular queue
depth-first search
union
34. A list of pairs - where each pair has a key and a value associated with the key
linked list
association list
object
recursion
35. A pointer to the next element in a linked list
abstract data type
link
well-founded ordering xml
class
36. The process of collecting garbage for recycling
reference type
array
data type
garbage collection
37. Describes a though experiment or view of an entity
divide and conquer
depth-first search
gedanken
data structure
38. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
association list
descendants
operator
39. A linked list in which each elements has both forward and backward pointers
entinel
doubly linked list
complex ADT
stack frame
40. In a tree - the union of a node's parent and the parent's ancestors
inorder
parent
stack
ancestors
41. First-child/next-sibling
fair
constructive
entinel
queue
42. Constructed of multiple components (simple or complex types)
binary search tree (bst)
complex data type
constructive
backtrack
43. Use of a function or method without knowing how it's accomplished
procedural abstraction
LIFO
constructive
complex data type
44. Describes a function that makes a new data structure but does not modify its arguments
constructive
object
sort
interior node
45. Describes a data structure that cannot be changed once it has been created - such as Integer or String in Java
destructive
child
immutable
sort
46. All nodes below a give node in a tree
garbage collection
null dereference
recursive case
descendants
47. To combine two ordered linear structures into one
entinel
taxonomy
recursive case
merge
48. Describes a data structure or device in which all accesses have the same cost - O(1)
random access
shadow
merge
garbage
49. A data structure that can be identified at runtime as being a member of a class
reference
union
object
stack frame
50. An extra record at the start or end of a data structure such as a linked list - to simplify processing
entinel
recursion
base case
immutable