Questions and Answers
What is a data structure primarily used for?
Which of the following is an example of a primitive data structure?
Which statement correctly describes non-linear data structures?
What is a characteristic feature of primitive data structures?
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Which of the following is NOT a non-primitive data structure?
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What is a key feature of linear data structures?
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Which of the following best describes the role of data structures in computer science?
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What type of data structure is an array classified under?
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Which of the following is a non-linear data structure?
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What operation is used to access each record in a data structure exactly once?
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In the context of data structures, what does the operation 'Merge()' accomplish?
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Which of these best describes an Abstract Data Type (ADT)?
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Which operation would you perform to add a new record to a data structure?
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Which data structure operates in a last-in, first-out (LIFO) manner?
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What operation is responsible for finding the location of a record with a specific key value?
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Which of the following represents a linear data structure?
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Study Notes
Introduction to Data Structure
- Data refers to information stored in computers as files, organized systematically with fields containing records and values.
- Data structure defines a scheme for organizing related pieces of information in computer science.
- A data structure allows efficient storage, manipulation, and presentation of data.
Classification of Data Structures
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Primitive Data Structures
- Directly operated upon by machine-level instructions.
- Examples: Integer, Float, Char.
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Non-Primitive Data Structures
- More complex and derived from primitive structures.
- Form sets of homogeneous and heterogeneous data elements.
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Linear Data Structures: Store data in a sequential manner.
- Examples: Arrays, Stacks, Linked Lists.
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Non-Linear Data Structures: Do not follow a sequential storage method.
- Examples: Trees, Graphs.
Basic Operations on Data Structures
- Create(): Constructs a new data structure.
- Delete(): Removes a record from the data structure.
- Insert(): Adds new records to the data structure.
- Traverse(): Accesses each record once for processing items within.
- Search(): Locates a record based on a given key value.
- Sorting(): Arranges records in a logical order.
- Merge(): Combines records from different sorted files into a single file.
Abstract Data Type (ADT)
- An abstract data type consists of a set of values (carrier set) and a defined set of operations on those values.
- ADTs specify data value sets and operations independently of implementation.
- ADTs serve as mathematical models for classes of data structures with similar behaviors.
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Description
This quiz covers the basic concepts of data structures and their classification. It focuses on primitive data structures and how they are essential in organizing and manipulating data effectively in computer science. Test your knowledge on various types of data structures and their functionalities.
