**Which Is Not a Non Primitive Data Structure?**

In computer science, data structures are used to organize and store data in a way that allows for efficient access and manipulation. There are two main categories of data structures: primitive and non-primitive.

Primitive data structures are the basic building blocks provided by programming languages, such as integers, characters, booleans, and floating-point numbers. On the other hand, non-primitive data structures are more complex and can be built using primitive data types.

## Non-Primitive Data Structures

Non-primitive data structures are derived from primitive data types but provide more advanced ways of organizing and storing data. Common examples of non-primitive data structures include arrays, linked lists, stacks, queues, trees, graphs, and hash tables.

### Arrays

An array is a collection of elements of the same type stored in contiguous memory locations. It provides random access to its elements using an index. Arrays have a fixed size determined at the time of declaration.

### Linked Lists

A linked list is a linear collection of elements called nodes. Each node contains both the element and a reference (or link) to the next node in the list. Linked lists can grow or shrink dynamically during program execution.

### Stacks

A stack is an abstract data type that follows the Last-In-First-Out (LIFO) principle. It allows insertion and deletion of elements only at one end called the top. Stacks can be implemented using arrays or linked lists.

### Queues

A queue is an abstract data type that follows the First-In-First-Out (FIFO) principle. It supports insertion at one end called rear and removal from another end called front. Queues can also be implemented using arrays or linked lists.

### Trees

A tree is a hierarchical data structure that consists of nodes connected by edges. Each node can have zero or more child nodes. Trees are used for representing hierarchical relationships between elements.

### Graphs

A graph is a collection of vertices (or nodes) connected by edges. Graphs can be used to represent various real-world scenarios, such as social networks, computer networks, and transportation networks.

### Hash Tables

A hash table is a data structure that uses a hash function to map keys to values. It provides efficient insertion, deletion, and retrieval operations. Hash tables are commonly used for implementing dictionaries and database indexes.

## The Answer: Primitive Data Types

Considering the question “Which Is Not a Non-Primitive Data Structure?”, the answer would be __primitive data types__. Primitive data types are not classified as non-primitive data structures because they are the fundamental types provided by programming languages themselves and do not require any additional complexity to store and manipulate data.

To summarize, non-primitive data structures provide more advanced ways of organizing and storing data compared to primitive data types. Arrays, linked lists, stacks, queues, trees, graphs, and hash tables are all examples of non-primitive data structures that help in solving complex problems efficiently.