What is a data structure?Choose one answer. A collection of algorithms A programming language A way to store and organize data A type of computer hardware
Question
What is a data structure?
Choose one answer:
- A collection of algorithms
- A programming language
- A way to store and organize data
- A type of computer hardware
Solution
Understanding the Question
The question is asking for the definition of a data structure by presenting multiple choices, where only one option is correct.
Evaluating the Options
- A collection of algorithms - This is incorrect as a data structure is not defined by algorithms but rather by the way data is organized.
- A programming language - This is also incorrect. A data structure is not a programming language; it is a concept used within programming languages.
- A way to store and organize data - This is the correct definition of a data structure. It refers to methods for organizing, managing, and storing data efficiently for various operations.
- A type of computer hardware - This is incorrect. Data structures are not physical components; instead, they are abstract concepts.
Conclusion
Among the given options, the most accurate definition of a data structure is "A way to store and organize data."
Similar Questions
A —— data structure is a hierarchical structure that is used to represent and organize data in a way that is easy to navigate and search.
Which is not the component of the data structure?Select one:a.Operationsb.Storage Structuresc.Algorithmsd.None of the above
A data structure containing a series of records could be:Group of answer choicesa file.Both A and B.an array of records.a multi-dimensional array.
5) What is an algorithm?A set of steps to solve a problemSoftware that analyses dataA hardware device that stores dataAll of these
A mathematical-model with a collection of operations defined on that model is calleda.Data Structureb.Abstract Data Typec.Primitive Data Typed.Algorithm
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.