DBMS Exam: MCQ Quiz! Trivia

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DBMS Exam: MCQ Quiz! Trivia - Quiz


Ever wondered how much you know about DBMS or the Database Management System? For this quiz, you should know what is responsible for authorizing access to the databases and obtaining software and hardware services, what is a property that defines different characteristics of an item, what level describes what is stored in the database, and the relationships between data, and what is an association among entities.
Through a series of carefully crafted questions, you’ll explore key concepts such as normalization, SQL commands, indexing, and concurrency control. Each question aims to challenge your knowledge and apply theoretical principles to practical Read morescenarios, ensuring a deep and comprehensive understanding of DBMS. This quiz is an excellent tool for self-assessment and revision, providing immediate feedback to help identify areas of strength and those needing improvement.

So, whether you're preparing for an upcoming exam or simply looking to test your database management prowess, dive in and see how well you understand the intricacies of DBMS! This quiz will provide you with insight into the Database Management System. So. Let's get started.


Database Management System Questions and Answers

  • 1. 

    -------------------------------responsible for authorizing access to the database, for coordinating and monitoring its use, acquiring software, and hardware resources, controlling its use, and monitoring efficiency of operations.

    • A.

      Authorization Manager

    • B.

      Storage Manager

    • C.

      File Manager

    • D.

      Transcation Manager

    • E.

      Buffer Manager

    Correct Answer
    E. Buffer Manager
    Explanation
    The Buffer Manager is responsible for authorizing access to the database, coordinating and monitoring its use, acquiring software and hardware resources, controlling its use, and monitoring the efficiency of operations. It manages the buffer pool, which is a portion of memory used to store frequently accessed data from the database. By keeping frequently used data in the buffer pool, the Buffer Manager improves the efficiency of database operations by reducing the need to access data from disk.

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  • 2. 

    ------------------------------is a property that describes various characteristics of an entity.

    • A.

      ER Diagram

    • B.

      Column

    • C.

      Relationship

    • D.

      Attribute

    Correct Answer
    D. Attribute
    Explanation
    An attribute is a property that describes various characteristics of an entity. In an ER diagram, attributes are used to define the specific details or qualities of an entity. They provide additional information about the entity and help in understanding its behavior and properties. Attributes can be simple, composite, or derived, and they play a crucial role in designing and understanding the structure and relationships within a database system.

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  • 3. 

    ---------------------- level describes what data is stored in the database and the relationships among the data.

    • A.

      Physical Level

    • B.

      Conceptual Level

    • C.

      None of the above

    Correct Answer
    B. Conceptual Level
    Explanation
    The conceptual level of a database schema provides a high-level, abstract view of the entire database without getting into the specifics of how data is physically stored or the exact details of the database structure. It focuses on defining the entities, attributes, and relationships between data elements, making it easier for users and developers to understand the overall design and purpose of the database. This level is often used for database design and planning, and it serves as a bridge between the logical level (which defines the structure and organization of data) and the physical level (which deals with how data is stored on hardware).

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  • 4. 

    ------------------------ denote derived attributes.

    • A.

      Double ellipse

    • B.

      Dashed ellipse

    • C.

      Squared ellipse

    • D.

      Ellipse with attribute name underlined

    Correct Answer
    B. Dashed ellipse
    Explanation
    The correct answer is "Dashed ellipse." In a diagram or model, different shapes are often used to represent different types of entities or attributes. In this case, a dashed ellipse is likely used to represent a derived attribute. Derived attributes are those that can be calculated or derived from other attributes in the model, rather than being directly stored or recorded. The dashed ellipse indicates that the attribute is not a physical or directly stored attribute, but rather a derived value.

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  • 5. 

     A_____________is an association between entities.

    • A.

      Relation

    • B.

      One to One

    • C.

      Generalization

    • D.

      Specialization

    Correct Answer
    A. Relation
    Explanation
    A relation is an association between entities. It represents a connection or link between two or more entities, indicating how they are related or interact with each other. In a relation, entities can have different types of associations, such as one-to-one, one-to-many, or many-to-many. The correct answer, "Relation," accurately describes this concept of an association between entities.

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  • 6. 

    ---------------------------  stores metadata about the structure of the database.

    • A.

      Physical data base

    • B.

      Query Analyzer

    • C.

      Data Dictionary

    • D.

      Data Catalog

    Correct Answer
    C. Data Dictionary
    Explanation
    A data dictionary is a repository that stores metadata about the structure of a database. It contains information about tables, columns, data types, constraints, relationships, and other elements of the database schema. This metadata is used by various database management tools and applications to understand and manipulate the database. The data dictionary helps in maintaining data integrity, enforcing data constraints, and providing a centralized source of information about the database structure.

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  • 7. 

    ___________is a collection of operations that perform s single logical function in a database application.

    • A.

      Transaction

    • B.

      Concurrent operation

    • C.

      Atomocity

    • D.

      Durability

    Correct Answer
    A. Transaction
    Explanation
    A transaction is a collection of operations that perform a single logical function in a database application. It is a unit of work that guarantees the atomicity, consistency, isolation, and durability (ACID) properties of the database. Transactions ensure that all the operations within them are executed as a single, indivisible unit, and either all the operations are successfully completed or none of them are. This helps maintain the integrity and reliability of the database by preventing partial or inconsistent updates.

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  • 8. 

    The problem that is compounded when constraints involve several data items from different files are called _____________

    • A.

      Transaction Control Management Problem

    • B.

      Security Problem

    • C.

      Integrity Problem

    • D.

      Durability Problem

    Correct Answer
    C. Integrity Problem
    Explanation
    When constraints involve several data items from different files, it can lead to an integrity problem. Integrity refers to the accuracy and consistency of data. In this scenario, the problem arises because ensuring the integrity of data across multiple files becomes more complex. It becomes challenging to maintain the relationships and dependencies between the data items, which can result in inconsistencies and errors. Therefore, an integrity problem is the most suitable explanation for the given answer.

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  • 9. 

    Ensuring atomicity is the responsibility of the --------------------------component.

    • A.

      File Manager

    • B.

      Buffer Manager

    • C.

      DBA

    • D.

      Transation Manager

    Correct Answer
    D. Transation Manager
    Explanation
    The transaction manager is responsible for ensuring atomicity in a system. Atomicity refers to the property of a transaction where it is either executed in its entirety or not executed at all. The transaction manager ensures that all the operations within a transaction are executed as a single unit, and if any operation fails, the entire transaction is rolled back to its original state. This ensures that the database remains in a consistent state and avoids any partial updates or inconsistencies. The file manager is responsible for managing files, the buffer manager handles the buffering of data, and the DBA manages the overall database system.

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  • 10. 

    -------------------manages the allocation of the space on the disk storage and the database structure used to represent information stored on disk.

    • A.

      Disk Manager

    • B.

      File Manager

    • C.

      Buffer Manager

    • D.

      Memory Manager

    • E.

      None of the above

    Correct Answer
    B. File Manager
    Explanation
    The correct answer is File Manager. The File Manager is responsible for managing the allocation of space on the disk storage and the database structure used to represent information stored on the disk. It handles tasks such as creating, opening, closing, and deleting files, as well as organizing the files in a directory structure. The File Manager also ensures data integrity and security by implementing file permissions and access control mechanisms.

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  • 11. 

    ----------------------------is the minimal super key.

    • A.

      Primary Key

    • B.

      Candidate Key

    • C.

      Surrogate Key

    • D.

      Unique Key

    • E.

      Alternate Key

    Correct Answer
    B. Candidate Key
    Explanation
    A candidate key is a minimal super key, meaning it is a unique identifier for each record in a database table and no subset of its attributes can also uniquely identify a record. In other words, a candidate key is the smallest combination of attributes that can uniquely identify a record. Therefore, it satisfies the condition mentioned in the question, making it the correct answer.

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  • 12. 

     The -----------------------------engine executes low-level instructions generated by the DML compiler.

    • A.

      DDL Analyzer

    • B.

      Query Interpreter

    • C.

      Database Engine

    • D.

      None of the above

    Correct Answer
    C. Database Engine
    Explanation
    The correct answer is "Database Engine." The database engine is responsible for executing low-level instructions generated by the DML compiler. It interacts with the storage engine to retrieve and manipulate data based on the instructions provided by the DML compiler. The DDL analyzer is used for parsing and validating the syntax of Data Definition Language (DDL) statements, while the query interpreter is responsible for interpreting and executing high-level queries. Therefore, neither of these options is the correct answer.

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  • 13. 

     --------------------------responsible to define the content, the structure, the constraints, and functions or transactions against the database.  

    • A.

      Transcation Manager

    • B.

      Query Analyzer

    • C.

      DBA

    • D.

      All the above

    • E.

      None of the above

    Correct Answer
    C. DBA
    Explanation
    The correct answer is DBA. A Database Administrator (DBA) is responsible for defining the content, structure, constraints, and functions or transactions against the database. They manage and maintain the database system, ensuring its smooth operation and optimal performance. They also handle tasks such as database design, security, backup and recovery, and performance tuning.

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  • 14. 

    In the ER model ---------------------------denote  derived attributes.

    • A.

      Double ellipse

    • B.

      Diamond

    • C.

      Reactangle

    • D.

      None of the above

    Correct Answer
    D. None of the above
    Explanation
    In the ER model, derived attributes are denoted by a dashed ellipse. The options provided in the question (double ellipse, diamond, rectangle) do not represent derived attributes in the ER model. Therefore, the correct answer is "None of the above".

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  • 15. 

    --------------------attributes can be divided into parts.

    Correct Answer
    Composite, composite
    Explanation
    The given answer states that attributes can be divided into parts and uses the term "composite" twice to emphasize this point. This suggests that attributes are not indivisible, but rather can be broken down into smaller components. The repetition of the term "composite" reinforces this idea and implies that attributes are made up of multiple elements or aspects.

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  • 16. 

    Foreign Key can be null.

    • A.

      TRUE

    • B.

      FALSE

    Correct Answer
    A. TRUE
    Explanation
    A foreign key can be null when it is not required to have a value in the referencing table. This means that the foreign key column in the referencing table can be left empty or null, indicating that there is no corresponding value in the referenced table. This allows for flexibility in the database design and allows for optional relationships between tables.

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  • 17. 

    All primary keys should be super keys.

    • A.

      TRUE

    • B.

      FALSE

    Correct Answer
    A. TRUE
    Explanation
    All primary keys should be super keys because a super key is a set of one or more attributes that can uniquely identify a record in a database table. Since a primary key is a unique identifier for a record, it is by definition a super key. Therefore, it is true that all primary keys should be super keys.

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  • 18. 

    In a Relational database, Data is stored as record types and the relationship is represented by set types.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    In a relational database, data is stored as record types, meaning that each piece of data is organized into records that contain specific fields or attributes. The relationship between these records is represented by set types, which define how the records are related to each other. This allows for efficient and structured data storage, retrieval, and manipulation. Therefore, the statement "Data is stored as record types and the relationship is represented by set types" is true in the context of a relational database.

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  • 19. 

    In a Hierarchical database to get to a low-level table, you start at the root and work your way down the tree until you reach your target data.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    In a hierarchical database, the data is organized in a tree-like structure with a root node at the top and child nodes branching out from it. To access a low-level table, you start at the root node and follow the branches down the tree until you reach the desired table. This hierarchical structure allows for efficient and organized data retrieval, making the statement true.

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  • 20. 

    Using the relational model we design conceptual database design.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    The given statement is incorrect. The relational model is used to design the logical database design, not the conceptual database design. The conceptual database design is created using high-level data modeling techniques, such as entity-relationship diagrams, to capture the overall structure and relationships of the database system. The relational model is then used to translate the conceptual design into a logical design, which involves creating tables, defining relationships, and establishing constraints. Therefore, the correct answer is False.

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  • 21. 

    The conceptual data model is the source of information for the logical design phase.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    The conceptual data model serves as the foundation for the logical design phase because it provides a high-level representation of the data requirements and relationships between entities. It helps to identify the key entities, attributes, and relationships that need to be included in the logical design. By starting with a well-defined conceptual data model, the logical design phase can focus on translating the requirements into a more detailed and structured representation of the data, such as a relational database schema. Therefore, the statement that the conceptual data model is the source of information for the logical design phase is true.

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  • 22. 

    Logical database design describes base relations, file organizations, and indexes that are used to achieve efficient access to data.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    Logical database design does not describe base relations, file organizations, and indexes. Instead, it focuses on the conceptual representation of the database, including the entities, relationships, and attributes. Physical database design, on the other hand, deals with the implementation details such as base relations, file organizations, and indexes to achieve efficient data access. Therefore, the correct answer is False.

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  • 23. 

    Conceptual data modeling uses a high-level data modeling concept of E-R Models.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Conceptual data modeling is a process that involves creating a high-level representation of the data requirements for an organization or system. This representation is typically done using Entity-Relationship (E-R) models, which are diagrams that show the entities (objects or concepts) and their relationships in the system. Therefore, the statement that conceptual data modeling uses E-R models is true.

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  • 24. 

    Tables are required to have at least one column.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Tables are required to have at least one column because a table is a collection of rows and columns used to organize and display data. Without any columns, there would be no way to structure or organize the data in a table format. Each column represents a different attribute or field, allowing for the categorization and organization of the data being stored in the table. Therefore, it is necessary for a table to have at least one column.

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  • 25. 

    Logical data independence: Refers to the separation of the external views from the conceptual view.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Logical data independence refers to the ability to modify the conceptual schema without affecting the external schema or application programs. It allows for changes in the logical structure of the database without requiring changes to the external views or the way data is accessed by applications. This separation between the external views and the conceptual view provides flexibility and allows for easier maintenance and evolution of the database system.

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  • 26. 

    Duplication of data is the disadvantage of DBMS.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    The statement is false because duplication of data is not a disadvantage of DBMS. In fact, one of the main advantages of DBMS is that it helps in reducing data redundancy and ensures data integrity. DBMS allows for centralized storage and management of data, eliminating the need for duplicate data storage. It provides mechanisms like normalization and data integrity constraints to prevent data duplication and maintain data consistency.

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  • 27. 

    The candidate key can have a null value.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    The candidate key is a set of attributes that uniquely identifies a tuple in a relation. It cannot have a null value because a null value represents the absence of a value. In order for a set of attributes to uniquely identify a tuple, all the attributes in the candidate key must have non-null values. Therefore, the statement that the candidate key can have a null value is false.

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  • 28. 

    Each program maintains its own set of data. So users of one program may be unaware of potentially useful data held by other programs this leads to Duplication of data.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    Programs may share data through various means such as inter-process communication or by accessing shared databases. Therefore, it is not necessarily true that each program maintains its own set of data. In fact, sharing data between programs can help prevent duplication and promote efficient use of resources. Thus, the correct answer is False.

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  • 29. 

    A traditional database stores just data – with no procedures.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    A traditional database only stores data and does not include any procedures. This means that it is not capable of executing any actions or processes on its own. It simply stores and organizes data for retrieval and manipulation by other applications or systems.

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  • 30. 

    Simple Attribute composed of multiple components, each with an independent existence.

    • A.

      True

    • B.

      False

    Correct Answer
    B. False
    Explanation
    This statement is false. A simple attribute is not composed of multiple components, each with an independent existence. Instead, a simple attribute is a basic attribute that cannot be divided into smaller parts. It represents a single value for an entity or an object.

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  • 31. 

    Cardinality specifies how many instances of an entity relate to one instance of another entity.

    • A.

      True

    • B.

      False

    Correct Answer
    A. True
    Explanation
    Cardinality refers to the relationship between entities in a database. It specifies how many instances of one entity can be associated with another entity. In this case, the statement is true as cardinality does determine the number of instances of an entity that can relate to one instance of another entity.

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Samy Boulos |MSc (Computer Science) |
Data Engineer
Samy Boulos is an experienced Technology Consultant with a diverse 25-year career encompassing software development, data migration, integration, technical support, and cloud computing. He leverages his technical expertise and strategic mindset to solve complex IT challenges, delivering efficient and innovative solutions to clients.

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  • Jun 28, 2024
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  • Feb 08, 2010
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