Computer Knowledge
Database Management Systems
5,543 Questions
Database Management Systems (DBMS) form the core framework for data storage, retrieval, and security in modern software applications. Concepts such as the E-R model, backup planning, SQL integration, and big data architecture are essential for computer knowledge sections. This hub offers a comprehensive set of practice questions to master DBMS fundamentals and advanced database operations.
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Database Management Systems Questions
What is the primary purpose of a database management system (DBMS)?
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To store and manage data
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To process data
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To retrieve data
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To update data
A
Correct answer
Explanation
A DBMS is a software system that allows users to create, manage, and access data in a database.
Which of the following is a type of database model?
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Relational
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Hierarchical
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Network
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Object-oriented
A
Correct answer
Explanation
A relational database model is a type of database model that represents data in the form of tables, where each table consists of rows and columns.
What is the purpose of a view in a database?
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To store data
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To process data
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To retrieve data
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To update data
C
Correct answer
Explanation
A view is a virtual table that is defined by a query. Views are used to retrieve data from a database.
What is the purpose of a stored procedure in a database?
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To store data
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To process data
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To retrieve data
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To update data
B
Correct answer
Explanation
A stored procedure is a set of SQL statements that are stored in the database and can be executed as a single unit.
What is the purpose of a lock in a database?
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To prevent other users from accessing data
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To prevent other users from updating data
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To prevent other users from deleting data
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All of the above
D
Correct answer
Explanation
A lock is a mechanism that prevents other users from accessing, updating, or deleting data.
What is the purpose of a database administrator (DBA)?
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To manage the database
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To design the database
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To implement the database
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All of the above
D
Correct answer
Explanation
A DBA is responsible for managing, designing, and implementing a database.
Which of the following is NOT a dimension of data quality?
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Accuracy
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Completeness
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Consistency
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Timeliness
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Relevance
E
Correct answer
Explanation
Relevance is not a dimension of data quality. The dimensions of data quality are accuracy, completeness, consistency, and timeliness.
What is the process of ensuring that data is accurate, complete, consistent, and timely?
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Data profiling
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Data cleansing
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Data validation
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Data governance
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Data integration
B
Correct answer
Explanation
Data cleansing is the process of ensuring that data is accurate, complete, consistent, and timely.
Which of the following is a common data quality issue?
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Missing values
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Inconsistent data
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Duplicate data
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Outdated data
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All of the above
E
Correct answer
Explanation
All of the above are common data quality issues.
Which of the following is a data quality metric?
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Accuracy
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Completeness
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Consistency
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Timeliness
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All of the above
E
Correct answer
Explanation
Accuracy, completeness, consistency, and timeliness are all data quality metrics.
Which of the following is a data quality best practice?
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Use data profiling to identify data quality issues
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Use data cleansing to correct data quality issues
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Use data validation to ensure that data is accurate
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Use data governance to manage data quality
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All of the above
E
Correct answer
Explanation
All of the above are data quality best practices.
What are the three main types of data quality issues?
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Accuracy, completeness, and consistency
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Timeliness, relevance, and usability
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Security, privacy, and compliance
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All of the above
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None of the above
A
Correct answer
Explanation
The three main types of data quality issues are accuracy, completeness, and consistency.
What are the four main dimensions of data quality?
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Accuracy, completeness, consistency, and timeliness
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Relevance, usability, value, and trustworthiness
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Security, privacy, compliance, and auditability
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All of the above
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None of the above
A
Correct answer
Explanation
The four main dimensions of data quality are accuracy, completeness, consistency, and timeliness.
What is the role of Recovery Point Objective (RPO) in IaaS Backup and Recovery?
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It defines the maximum acceptable amount of data loss that can occur before a backup is considered successful.
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It defines the maximum amount of time that can elapse between the occurrence of a data loss event and the restoration of data from a backup.
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It defines the maximum amount of time that can elapse between the creation of a backup and the expiration of the backup.
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It defines the maximum number of backups that can be stored before older backups are deleted.
B
Correct answer
Explanation
Recovery Point Objective (RPO) defines the maximum acceptable amount of data loss that can occur before a backup is considered successful. It is a critical metric in IaaS Backup and Recovery as it determines the frequency of backups and the amount of data that can be lost in the event of a disaster.
What is the purpose of a Recovery Time Objective (RTO) in IaaS Backup and Recovery?
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To define the maximum amount of time that can elapse between the occurrence of a data loss event and the restoration of data from a backup.
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To define the maximum amount of data loss that can occur before a backup is considered successful.
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To define the maximum amount of time that can elapse between the creation of a backup and the expiration of the backup.
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To define the maximum number of backups that can be stored before older backups are deleted.
A
Correct answer
Explanation
Recovery Time Objective (RTO) defines the maximum amount of time that can elapse between the occurrence of a data loss event and the restoration of data from a backup. It is a critical metric in IaaS Backup and Recovery as it determines the speed at which data and systems can be recovered in the event of a disaster.