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WGU C949 - Data Structures and Algorithms Questions with Solutions
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WGU C949 - Data Structures and Algorithms
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WGU C949 - Data Structures andAlgorithms
Algorithm - answerDescribes a sequence of steps to solve a computational problem or
perform a calculation.
Computational Problem - answerSpecifies an input, a question about the input that can
be answered using a computer, and the desired output.
Longest Common Substring - answerAn algorithm that determines the longest common
substring that exists in two inputs strings.
Binary Search - answerAn efficient algorithm for searching a list. The list's elements
must be sorted and directly accessible (such as an array).
Dijkstra's Shortest Path - answerAn algorithm that determines the shortest path from a
start vertex to each vertex in a graph.
NP-Complete - answerA set of problems for which no known efficient algorithm exists.
Polynomial time algorithm - answerAn algorithm whose execution time grows as a
polynomial of input size. An efficient algorithm is one whose runtime increases no more
than polynomially with respect to the input size.
Data structure - answerA way of organizing, storing, and performing operations on data.
Operations include accessing or updating stored data, searching for specific data,
inserting new data, and removing data.
Record - answerA data structure that stores subitems, with a name associated with
each subitem.
Array - answerA data structure that stores subitems, with a name associated with each
subitem. May only store homogeneous data elements.
Linked list - answerA data structure that stores ordered list of items in nodes, where
each node stores data and has a pointer to the next node.
Binary tree - answerA data structure in which each node stores data and has up to two
children, known as a left child and a right child.
, Hash table - answerA data structure that stores unordered items by mapping (or
hashing) each item to a location in an array.
Tree - answerA non-linear data structure that organizes data in a hierarchical way.
Heap - answerA complete binary tree-based data structure.
Max-heap - answerA tree that maintains the simple property that a node's key is greater
than or equal to the node's childrens' keys.
Min-heap - answerA tree that maintains the simple property that a node's key is less
than or equal to the node's childrens' keys.
Graph - answerA data structure for representing connections among items, and consists
of vertices connected by edges.
Vertex - answerRepresents an item in a graph.
Edge - answerRepresents a connection between two vertices in a graph.
Abstract Data Type (ADT) - answerA data type described by predefined user
operations, such as "insert data at rear," without indicating how each operation is
implemented.
List - answerAn ADT for holding ordered data. Duplicate items are allowed.
Stack - answerAn ADT in which items are only inserted on or removed from the top.
Queue - answerAn ADT in which items are inserted at the end and removed from the
front. referred to as a first-in first-out ADT.
Deque - answerAn ADT in which items can be inserted and removed at both the front
and back.
Bag - answerAn ADT for storing items in which the order does not matter and duplicate
items are allowed.
Set - answerAn ADT for a collection of distinct items.
Priority Queue - answerA queue where each item has a priority, and items with higher
priority are closer to the front of the queue than items with lower priority. Duplicates
items are allowed.
Dictionary - answerAn ADT that associates (or maps) keys with values. Can be used to
describe associative relationships in Python.
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