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C949 Data Structures and Algorithms I Questions and Answers 2024 $13.49   Add to cart

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C949 Data Structures and Algorithms I Questions and Answers 2024

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C949 Data Structures and Algorithms I

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  • August 10, 2024
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  • 2024/2025
  • Exam (elaborations)
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  • WGU C949
  • WGU C949
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C949 Data Structures and Algorithms I


Task decomposition - answer means to reduce a complex task into simpler basic steps,
making the whole task easier to solve.

interactive interpreter - answer is a program that allows the user to execute one line of
code at a time.

A statement - answeris a program instruction. A program mostly consists of a series of
statements, each statement usually appears on its own line.

Expressions - answerare code that return a value when evaluated; for example, the
code wage * hours * weeks is an expression that computes a number. * is the symbol
for multiplication. The names wage, hours, weeks, and salary are variables, which are
named references to values stored by the interpreter.

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

Array - answerAn array is a data structure that stores an ordered list of items, where
each item is directly accessible by a positional index.
-may only store homogeneous data elements

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

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

Heap - answerA 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. 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 - answerA graph is a data structure for representing connections among items,
and consists of vertices connected by edges. A vertex represents an item in a graph. An
edge represents a connection between two vertices in a graph.

, List - answerA list is an ADT for holding ordered data, where the order is based on how
the program insert or removes items. A list may contain duplicate items.

Set - answerA set is an ADT for a collection of distinct items, so duplicate items are not
allowed.

Priority queue - answerA priority queue is an ADT where each item has a priority. Items
with higher priority are closer to the front of the queue than items with lower priority, so
the item's priority determines the item's position in the queue. Both duplicate items and
items with the same priority are allowed.

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

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

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

Deque - answerA 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.

Dictionary (Map) - answerA dictionary is an ADT that associates (or maps) keys with
values.

Push(queue, x) - answerInserts x at end of the queue

Pop(queue) - answerReturns and removes item at front of queue

Peek(queue) - answerReturns but does not remove item at the front of the queue

IsEmpty(queue) - answerReturns true if queue has no items

GetLength(queue) - answerReturns the number of items in the queue

list - answeris mutable, and is thus able to grow and shrink without the program having
to replace the entire list with an updated copy.

A constant time operation - answeris an operation that, for a given processor, always
operates in the same amount of time, regardless of input values.

Algorithm efficiency - answeris typically measured by the algorithm's computational
complexity.

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