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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 amount of space on the runtime stack required for execution of a program
divide and conquer
node
complex data type
stack space
2. In a tree search - to move back from the node currently being examined to its parent
backtrack
null dereference
postorder
circularly linked list
3. To convert from a pointer to the data that is pointed to
procedural abstraction
amortized Analysis
reference type
dereference
4. The top node of a tree - from which all other nodes can be reached
root
alias
LIFO
cons
5. A node of a tree that has children
interior node
divide and conquer
structure sharing
preorder
6. 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
branching factor
boxed number
gedanken
reference
7. A formal description of a language in terms of vocabulary and rules for writing phrases and sentences
grammar
divide and conquer
ancestors
design pattern
8. A tree node containing a contents value but with no children
null dereference
simple data type
set difference
leaf
9. The number of links between the root of a tree and the leaves
runtime stack
LIFO
depth
big o
10. 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
preorder
simple ADT
dictionary
11. The process of collecting garbage for recycling
preorder
runtime stack
garbage collection
circularly linked list
12. A sequence of clear and precise step-by-step instructions for solving a problem in a finite amount of time
intersection
null dereference
binary tree
algorithm
13. Describes a function that makes a new data structure but does not modify its arguments
constructive
boxed number
taxonomy
null dereference
14. 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
intersection
node
big o
garbage
15. A sequence of records - where each record contains a link to the next one
dictionary
linked list
fair
reference
16. A pattern that describes a set of similar programs
random access
boxed number
design pattern
DFS
17. Describes a data structure or device in which all accesses have the same cost - O(1)
random access
data abstraction
type
taxonomy
18. 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
search
branching factor
null dereference
LIFO
19. To hide similar items with the same name
shadow
intersection
parent
intractable
20. A runtime error that occurs when an operation such as method call is attempted on a null pointer
recursion
backtrack
inorder
null dereference
21. A list of pairs - where each pair has a key and a value associated with the key
random access
branching factor
intersection
association list
22. A pointer to the next element in a linked list
well-founded ordering xml
amortized Analysis
link
complex ADT
23. A pointer to data
scope
divide and conquer
reference
linked list
24. 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?"
gedanken
parent
amortized Analysis
stack
25. An ordering that can be guaranteed to terminate - e.g. starting at a positive integer and counting down
well-founded ordering xml
intersection
stack space
array
26. First in first out: describes ordering of a queue
abstract data type
data type
intersection
fifo
27. A description of operations on a data type that could have multiple possible implementations
abstract data type
inorder
type
array
28. A case where a program calls itself
inorder
recursion
postorder
depth-first search
29. o(n^2) - a problem whose solution requires a quadratic amount of time or space if the problem is of size n
quadratic
backtrack
preorder
abstract data type
30. A case where tow data structures share some elements
well-founded ordering xml
ancestors
link
structure sharing
31. A data structure that can be identified at runtime as being a member of a class
null dereference
union
stack frame
object
32. A collection of objects that are inserted and removed according to the LIFO principle
preorder
stack
recursion
gedanken
33. Given two sets - the intersection is the set of elements that are members of both sets
reference
descendants
intersection
base case
34. A data structure representing a sequence of items - which are removed in the same order as they were inserted.
queue
circular queue
divide and conquer
side-effect
35. An item (or description of items) being sough in a search
quadratic
side-effect
goal
runtime stack
36. A problem whose solution requires a linear amount of time or space if the problem is size n
linear O(n)
constructive
taxonomy
garbage collection
37. A problem that is so hard that it cannot be solved unless the problem is small
intractable
class
filter
garbage
38. Any effect of a procedure other than returning a value - e.g. printing or modifying a data structure
tail recursive
association list
pointer
side-effect
39. A description of the kinds of objects that exist in a computer program - e.g a Java class hierarchy
ontology
tail recursive
shadow
fifo
40. Use of a function or method without knowing how it's accomplished
procedural abstraction
circularly linked list
dereference
dictionary
41. 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
type
binary tree
complex ADT
tail recursive
42. Values are in the most basic form and cannot be decomposed into smaller parts
design pattern
preorder
data structure
simple data type
43. Any container with linear ordering
class
general list
base case
entinel
44. A process that removes unwanted elements from a collection
postorder
filter
dictionary
search
45. In a tree - a node that points to a given node
parent
interior node
complex data type
simple ADT
46. In a search tree - a program that changes a state into a child state e.g a move in a game
operator
leaf
data type
runtime stack
47. 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
doubly linked list
root
garbage collection
cons
48. A queue implemented within an array - where the first elements of the array logically follows the last elements
fifo
circular queue
stack
merge
49. An order of processing a tree in which the parent node is processed before its children
reference type
big o
preorder
null dereference
50. A problem-solving strategy in which a problem is broken down into sub-problems - until simple subproblems are reached
sort
divide and conquer
dereference
leaf