- A Lower performance at a higher cost
- B Higher performance at a lower cost
- C Hardware specialization for database operations
- D Separation of hardware and software components
Database Concepts MCQs - Quiz
- A IBM System/38
- B Oracle Database
- C Microsoft SQL Server
- D MySQL
- A Uppsala University
- B Stanford University
- C MIT
- D University of Michigan
- A Mobile database
- B Operational database
- C Real-time database
- D Spatial database
- A Data analysis and reporting
- B User authentication and security
- C Storage, retrieval, and update of data
- D Database design and modeling
- A OQL
- B XQuery
- C SQL
- D DML
- A Improved query performance
- B Reduced storage requirements
- C Enhanced data accessibility
- D Support for different languages or character sets
- A Storing data in multiple locations
- B Combining data from various platforms
- C Creating a new database for personal information
- D Ensuring data security in virtual environments
- A Database backup and restore operations
- B Database configuration monitoring
- C Query optimization for efficient execution
- D Database schema and application programming
- A To optimize database performance and efficiency
- B To incorporate core functionalities into a single framework
- C To perform static analysis for software verification
- D To facilitate database backup and restore operations
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Database Concepts MCQs - Quiz
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- A. Lower performance at a higher cost
- B. Higher performance at a lower cost
- C. Hardware specialization for database operations
- D. Separation of hardware and software components
Remarks:
Explanation:
The integrated approach aimed to provide higher performance at a lower cost by integrating hardware and software components in the database system.
The goal was to optimize the system's performance by leveraging specialized hardware.
- A. IBM System/38
- B. Oracle Database
- C. Microsoft SQL Server
- D. MySQL
Remarks:
Explanation:
IBM System/38 was an example of an early integrated database system developed in the 1970s and 1980s.
It aimed to achieve higher performance and cost-effectiveness through the integration of hardware and software components.
- A. Uppsala University
- B. Stanford University
- C. MIT
- D. University of Michigan
Remarks:
Explanation:
Mimer SQL was developed in the mid-1970s at Uppsala University in Sweden.
It was based on Edgar F.
Codd's relational model and contributed to the development of SQL-based database systems.
- A. Mobile database
- B. Operational database
- C. Real-time database
- D. Spatial database
Remarks:
Explanation:
Operational databases store detailed data about the operations of an organization.
They are optimized for processing high volumes of updates using transactions.
Examples include customer databases, personnel databases, and financial databases.
- A. Data analysis and reporting
- B. User authentication and security
- C. Storage, retrieval, and update of data
- D. Database design and modeling
Remarks:
Explanation:
The core functionality of a DBMS is to efficiently store, retrieve, and update data in a database.
It manages the underlying data structures and provides mechanisms for interacting with the data.
- A. OQL
- B. XQuery
- C. SQL
- D. DML
Remarks:
Explanation:
Object Query Language (OQL) is a query language specifically designed for querying and manipulating object-oriented databases.
It provides capabilities to navigate through objects, retrieve specific attributes, and perform object-oriented operations like inheritance and polymorphism.
- A. Improved query performance
- B. Reduced storage requirements
- C. Enhanced data accessibility
- D. Support for different languages or character sets
Remarks:
Explanation:
Using multiple encodings in the same database allows for supporting different languages or character sets.
This is particularly useful in international applications where data needs to be stored and retrieved in various languages, each with its own character encoding requirements.
- A. Storing data in multiple locations
- B. Combining data from various platforms
- C. Creating a new database for personal information
- D. Ensuring data security in virtual environments
Remarks:
Explanation:
Data virtualization involves accessing and combining data from multiple sources without physically moving or storing the data in a new location.
It allows for real-time access to data across different platforms, resolving compatibility issues and ensuring the use of the latest data.
- A. Database backup and restore operations
- B. Database configuration monitoring
- C. Query optimization for efficient execution
- D. Database schema and application programming
Remarks:
Explanation:
Tools or hooks in a DBMS are designed to support various aspects of database development and management.
They can be used for tasks such as designing and modifying database schemas, programming applications that interact with the database, analyzing and monitoring database performance, and configuring the DBMS for optimal operation.
These tools facilitate efficient and effective management of the database and related applications.
- A. To optimize database performance and efficiency
- B. To incorporate core functionalities into a single framework
- C. To perform static analysis for software verification
- D. To facilitate database backup and restore operations
Remarks:
Explanation:
"DevOps for database" offerings aim to bring together all the core functionalities of database management, source control, build, test, and deployment into a unified framework.
This approach streamlines the development and management processes, promoting collaboration between development and operations teams, and enhancing the efficiency of the overall database lifecycle.