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Test your basic knowledge |
Data Structures
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Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
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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 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
runtime stack
immutable
merge
2. A pattern that describes a set of similar programs
data structure
general list
stack frame
design pattern
3. A simple case that can be solved easily - without recursion
interior node
base case
recursion
filter
4. Last in first out: describes the order of a stack
general list
LIFO
root
abstract data type
5. A search in which children of a node are considered before siblings are considered
shadow
depth-first search
successor
data abstraction
6. 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
goal
depth
reference type
immutable
7. Describes a data structure or device in which all accesses have the same cost - O(1)
garbage
random access
quadratic
fair
8. 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
cons
backtrack
depth-first search
linear O(n)
9. A function whose value either does not involve a recursive call - or is exactly the value of a recursive call
inorder
quadratic
array
tail recursive
10. A collection of objects that are inserted and removed according to the LIFO principle
filter
inorder
type
stack
11. A given collection of values along with a collection of operations for use on those values
scope
queue
DFS
data type
12. A linked list in which each elements has both forward and backward pointers
preorder
runtime stack
immutable
doubly linked list
13. 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?"
sort
successor
amortized Analysis
root
14. Constructed of multiple components (simple or complex types)
linked list
dictionary
complex data type
immutable
15. In a search tree - a program that changes a state into a child state e.g a move in a game
operator
simple data type
fair
merge
16. Give two sets - the set difference is the set of elements of the first set that are not members of the second set
linked list
set difference
state
circular queue
17. Describes a data structure that cannot be changed once it has been created - such as Integer or String in Java
immutable
node
data type
stack frame
18. Describes a function that makes a new data structure but does not modify its arguments
set difference
constructive
complex ADT
queue
19. A case where a program calls itself
preorder
recursion
parent
DFS
20. The amount of space on the runtime stack required for execution of a program
abstract data type
preorder
inorder
stack space
21. A condition of the input data where the data will be handled by call(s) to the same program
class
recursive case
general list
stack frame
22. A stack containing a stack frame of variable value for each active invocation of procedure
runtime stack
recursion
grammar
boxed number
23. In a tree - a node pointed to by a parent node
array
union
simple ADT
child
24. Implementation of complex ADTs. Physical representation of how data is stored - organized - and manipulated
data structure
sort
stack
pointer
25. The next element in a linked list
cons
intersection
procedural abstraction
successor
26. An elements of a linked list - tree - or graph - often represented by a data structure
structure sharing
dereference
node
filter
27. A description of the state of a process such as a board game
interior node
object
state
amortized Analysis
28. A variable containing the address of other data
intersection
pointer
LIFO
backtrack
29. Composed of individually named data fields
data type
descendants
simple ADT
state
30. Values are in the most basic form and cannot be decomposed into smaller parts
pointer
data structure
simple data type
object
31. Given two sets - the intersection is the set of elements that are members of both sets
quadratic
intersection
circular queue
LIFO
32. 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
gedanken
boxed number
entinel
fair
33. An extra record at the start or end of a data structure such as a linked list - to simplify processing
entinel
set difference
scope
preorder
34. A sequence of records - where each record contains a link to the next one
child
linked list
quadratic
stack
35. A node of a tree that has children
interior node
object
data abstraction
doubly linked list
36. Describes a function that modifies its arguments
destructive
preorder
inorder
set difference
37. In a tree - the union of a node's parent and the parent's ancestors
ancestors
array
intractable
doubly linked list
38. A section of the runtime stack holding the values of all variables for one invocation
stack frame
destructive
constructive
general list
39. To hide similar items with the same name
abstract data type
union
stack frame
shadow
40. To look through a data structure until a goal object is found
destructive
cons
preorder
search
41. In object oriented programming - a description of a set of similar objects
well-founded ordering xml
stack frame
recursive case
class
42. Use of a function or method without knowing how it's accomplished
search
sort
procedural abstraction
stack frame
43. The process of collecting garbage for recycling
algorithm
garbage collection
depth
linked list
44. Depth first search
array
intractable
type
DFS
45. Describes a though experiment or view of an entity
backtrack
stack
gedanken
root
46. A tree node containing a contents value but with no children
branching factor
leaf
dereference
link
47. An order of processing a tree in which the parent node is processed before its children
big o
preorder
intractable
dereference
48. A problem that is so hard that it cannot be solved unless the problem is small
ancestors
state
intractable
grammar
49. storage that is no longer pointed to by any variable and therefore can no longer be accessed
intractable
garbage
descendants
linear O(n)
50. Separation of the properties of a data type from its implementation
interior node
operator
data abstraction
design pattern
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