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WGU C949 STUDY GUIDE WITH COMPLETE SOLUTIONS
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WGU C949 STUDY GUIDE WITH COMPLETE SOLUTIONSWGU C949 STUDY GUIDE WITH COMPLETE SOLUTIONSWGU C949 STUDY GUIDE WITH COMPLETE SOLUTIONSWGU C949 STUDY GUIDE WITH COMPLETE SOLUTIONS Array - ANSWER-A data structure that stores an ordered list of items, with each item is directly accessible by a position...

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  • October 9, 2024
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  • 2024/2025
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  • wgu c949 study guide with complete solutions
  • wgu c949 study guide stuvia
  • array answer a data structure that stores an ord

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WGU C949 STUDY GUIDE WITH

COMPLETE SOLUTIONS


Array - ANSWER-A data structure that stores an ordered list of items, with

each item is directly accessible by a positional index.




Linked List - ANSWER-A data structure that stores ordered list of items in

nodes, where each node stores data and has a pointer to the next node.




Bianary Search Tree - ANSWER-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 - ANSWER-A data structure that stores unordered items by

mapping (or hashing) each item to a location in an array (or vector).




Hashing - ANSWER-mapping each item to a location in an array (in a hash

table).

,Max-Heap - ANSWER-A binary tree that maintains the simple property that a

node's key is greater than or equal to the node's childrens' keys. (Actually, a

max-heap may be any tree, but is commonly a binary tree).




*a max-heap's root always has the maximum key in the entire tree.




Heap storage - ANSWER-Heaps are typically stored using arrays. Given a tree

representation of a heap, the heap's array form is produced by traversing

the tree's levels from left to right and top to bottom. The root node is always

the entry at index 0 in the array, the root's left child is the entry at index 1,

the root's right child is the entry at index 2, and so on.




Chaining - ANSWER-handles hash table collisions by using a list for each

bucket, where each list may store multiple items that map to the same

bucket.




Hash key - ANSWER-value used to map an index




bu

,Max-Heap - ANSWER-A binary tree that maintains the simple property that a

node's key is greater than or equal to the node's childrens' keys. (Actually, a

max-heap may be any tree, but is commonly a binary tree).




*a max-heap's root always has the maximum key in the entire tree.




Heap storage - ANSWER-Heaps are typically stored using arrays. Given a tree

representation of a heap, the heap's array form is produced by traversing

the tree's levels from left to right and top to bottom. The root node is always

the entry at index 0 in the array, the root's left child is the entry at index 1,

the root's right child is the entry at index 2, and so on.

cket - ANSWER-each array element in a hash table

ie A 100 elements hash table has 100 buckets




modulo hash function - ANSWER-computes a bucket index from the items

key.

It will map (num_keys / num_buckets) keys to each bucket.

ie... keys range 0 to 49 will have 5 keys per bucket.

= 5

, hash table searching - ANSWER-Hash tables support fast search, insert, and

remove.

Requires on average O(1)




Linear search requires O(N)




Heap - parent_index - ANSWER-parent_index = (node_index - 1) // 2

or node_index // 2 - 1




Heap - left_child_index - ANSWER-left_child_index = 2 * node_index + 1




Heap - right_child_index - ANSWER-right_child_index = 2 * node_index + 2




modulo operator % - ANSWER-common has function uses this. which

computes the integer remainder when dividing two numbers.

Ex: For a 20 element hash table, a hash function of key % 20 will map keys

to bucket indices 0 to 19.

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