Questions and Answers
What type of data structure is a collection of similar data elements referenced by two subscripts?
What is the primary operation associated with arranging data in a specific order?
Which data structure represents data with a hierarchical relationship?
Which of the following best describes a stack data structure?
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What is the primary action required to find a student who is no longer attending classes?
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What is the correct definition of an attribute in data structures?
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Which statement about data structures is true?
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Which is true regarding linear data structures?
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What can be said about arrays?
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What characterizes a linked list?
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What type of data structure is used for the implementation of browser buttons to navigate pages?
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Which statement about non-primitive data structures is incorrect?
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What happens during the insertion of elements in an array?
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Study Notes
Data Structure Fundamentals
- Data: Elementary individual units or collections of values.
- Record: A compilation of various data items.
- Attribute: Specific property or characteristic of an entity.
- Field: An individual elementary unit of information pertaining to an attribute.
- Data Structure: A structured array of interrelated variables forming a system's fundamental component.
True/False Statements
- Data structures provide a structural representation of logical relationships between data elements (not unstructured).
- Efficiency of data structures is crucial for successful processes in real-time applications.
- Software development is influenced by market changes and emerging technologies.
- Software can be developed in a reusable and adaptable manner, allowing for reuse in future applications.
Data Structures Overview
- Primitive Data Structures: Composed of built-in numerical and character types.
- Non-Primitive Data Structures: Cannot be manipulated directly by machine-level instructions.
- Linear Data Structure: Arranged linearly, though not always sequentially in memory.
- Non-Linear Data Structure: Hierarchical arrangements of individual data items.
Array Characteristics
- An array is a linear data structure for storing elements of the same type.
- Incorrect statement about initializing array values: braces
{}are used, not brackets[]. - Arrays can be classified into one-dimensional, two-dimensional, or multidimensional types.
- Insertion and deletion in arrays may present challenges due to element shifting.
Linked Lists and Other Structures
- Linked lists do not require data elements to be stored in consecutive memory locations.
- They are characterized by slower search operations and greater memory usage.
- Doubly Linked List: Utilized for forward and backward navigation in applications like browsers.
- Stack: A linear structure where insertions and deletions occur at one end.
- Queue: Elements added at the rear and removed from the front.
File and Data Organization
- File: A collection of records relating to entities within a set.
- Elementary Items: Indivisible data units.
- Data Item: Represents a single unit of values.
- Two-Dimensional Array: Collection of similar data elements accessed via two subscripts.
- One-Dimensional Array: List of data elements referenced by consecutive numbers.
Hierarchical Data Structures
- Entity: Object with specific attributes or properties that can be valued.
- Trees: Data structures that display hierarchical relationships among elements.
Data Structure Operations
- Traversing: Method utilized when sending invitations, indicating movement through elements.
- Sorting: Used for ordering top scorers in examinations.
- Merging: Combining two dissolved sections.
- Searching: Finding a student who has stopped attending classes.
- Deleting: Process to transfer students to other sections.
Matching Data Structures
- Last in First Out (LIFO): Characteristic of a stack.
- Top-only Access: A stack only has one end known as the "top."
- Hierarchical Structure: Represented by trees.
- Matrices: Associated with two-dimensional arrays.
- Pointer: References elements on the same list.
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Description
Test your knowledge on the basics of data structures with this quiz. Questions cover essential terms such as data, records, attributes, and fields. Perfect for students beginning their journey in computer science!
