WGU C949 Objective Assessment (Latest
2026 Update) Data Structures and
Algorithms I Guide| 100% Verified
Questions & Answers | Grade A
A functions whose cost scales linearly with the size of the input
O(n)
Iterating over a collection of data once often indicates an ______ algorithm.
(alphabet for-loop example)
O(n)
A functions whose cost scales logarithmically with the input size
O(log n)
Which type of function works by breaking down large problem into smaller and
smaller chunks?
O(log n)
As the size of the input grows the cost of the algorithm does not increase at the
same rate. The overall cost of performing an operation on 1,000,000 items is only
twice that of performing the operation on 1,000 items.
O(log n)
A function that exhibits quadratic growth relative to the input size
O(n^2)
An example of this type of function is doubly nested loop
O(n^2)
, Which type of function gets really expensive really quickly?
O(n^2)
A function that has two inputs that contribute to growth
O(nm)
An example of this type of function is when there is a nested loop that iterates of
two distinct collections of data
O(nm)
Are Big-O cases used in the best or worst situations?
Worst
Which statement is static?
readonly Contact[] contacts = new Contact[];
readonly Contact contacts = new Contacts[100];
readonly Contact contacts = new Contacts[100];
A container where data is stored in nodes consisting of a single data item and a
reference to the next node
Linked List
A ______ is a container where nodes of data are linked together into a list
Linked List
Linking together complex nodes into a single structure
Linked List
Each link in a chain for a linked lists is called a ______
2026 Update) Data Structures and
Algorithms I Guide| 100% Verified
Questions & Answers | Grade A
A functions whose cost scales linearly with the size of the input
O(n)
Iterating over a collection of data once often indicates an ______ algorithm.
(alphabet for-loop example)
O(n)
A functions whose cost scales logarithmically with the input size
O(log n)
Which type of function works by breaking down large problem into smaller and
smaller chunks?
O(log n)
As the size of the input grows the cost of the algorithm does not increase at the
same rate. The overall cost of performing an operation on 1,000,000 items is only
twice that of performing the operation on 1,000 items.
O(log n)
A function that exhibits quadratic growth relative to the input size
O(n^2)
An example of this type of function is doubly nested loop
O(n^2)
, Which type of function gets really expensive really quickly?
O(n^2)
A function that has two inputs that contribute to growth
O(nm)
An example of this type of function is when there is a nested loop that iterates of
two distinct collections of data
O(nm)
Are Big-O cases used in the best or worst situations?
Worst
Which statement is static?
readonly Contact[] contacts = new Contact[];
readonly Contact contacts = new Contacts[100];
readonly Contact contacts = new Contacts[100];
A container where data is stored in nodes consisting of a single data item and a
reference to the next node
Linked List
A ______ is a container where nodes of data are linked together into a list
Linked List
Linking together complex nodes into a single structure
Linked List
Each link in a chain for a linked lists is called a ______
