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Wgu C949 V5 Data Structures And Algorithms I Questions And Answers Complete Study Guide Exam Prep Practice Test

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Prepare for WGU C949 v5 Data Structures and Algorithms I with focused questions and answers designed for effective exam preparation and coursework review. This resource supports studying key data structures and algorithm concepts through practice questions, self-assessment, and structured review. Use it to strengthen understanding, test your knowledge, identify areas for additional study, and prepare for course assessments. Ideal for WGU C949 v5 students seeking Data Structures and Algorithms I exam questions, answers, practice tests, and comprehensive study material.

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WGU C949 V5 DATA STRUCTURES AND
ALGORITHMS I QUESTIONS AND ANSWERS
COMPLETE STUDY GUIDE EXAM PREP
PRACTICE TEST
| GRADED A+ | GUARANTEED SUCCESS



UPDATED QUESTIONS AND ANSWERS


100% VERIFIED EXAM PREP


[EXAM• STUDY GUIDE • SUMMARY • ASSIGNMENT]
A clean, organized resource designed for easy revision and reference.




QUICK • CLEAR • PROFESSIONAL

,data structure A data structure is a way of organizing, storing, and performing operations on data.


record A record is the data structure that stores subitems, often called fields, with a name
associated with each subitem.


array An array is a data structure that stores an ordered collection of elements, where each
element is directly accessible by a positional index.


linked list A linked list is a data structure that stores an ordered list of items in nodes, where each
node stores data and has a reference to the next node.


binary tree A binary tree is a 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 A hash table is a data structure that stores unordered items by mapping (or hashing) each
item to a location in an array.


max-heap A max-heap is a tree that maintains the simple property that a node's key is greater than
or equal to the node's childrens' keys.


min-heap A min-heap is a tree that maintains the simple property that a node's key is less than or
equal to the node's childrens' keys.


graph A graph is a data structure for representing connections among items, and consists of
vertices connected by edges.


vertex A vertex represents an item in a graph.


edge An edge represents a connection between two vertices in a graph.


algorithm An algorithm describes a sequence of steps to solve a computational problem or
perform a calculation.


computational problem A computational problem specifies an input, a question about the input that can be
answered using a computer, and the desired output.

, NP-complete NP-complete problems are a set of problems for which no known efficient algorithm
exists.


abstract data type / ADT An abstract data type (ADT) is a data type described by predefined user operations, such
as "insert data at rear," without indicating how each operation is implemented.


list A list is an ADT for holding ordered data.


dynamic array A dynamic array is an ADT for holding ordered data and allowing indexed access.


stack A stack is an ADT in which items are only inserted on or removed from the top of a stack.


queue A queue is an ADT in which items are inserted at the end of the queue and removed from
the front of the queue.


deque A deque (pronounced "deck" and short for double-ended queue) is an ADT in which
items can be inserted and removed at both the front and back.


bag A bag is an ADT for storing items in which the order does not matter and duplicate items
are allowed.


set A set is an ADT for a collection of distinct items.


priority queue A priority queue is a 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.


dictionary A dictionary is an ADT that associates (or maps) keys with values.


abstraction Abstraction means to have a user interact with an item at a high-level, with lower-level
internal details hidden from the user.


compression Given data represented as some quantity of bits, compression transforms the data to use
fewer bits.


Huffman coding Huffman coding is a common compression technique that assigns fewer bits to frequent
items, using a binary tree.

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