Questions and Answers
What is the primary goal of data normalization in a relational database?
To minimize data redundancy and avoid anomalies
Which of the following best describes a well-structured relation in a database?
A relation with minimal data redundancy and supports easy data manipulation
What is the main disadvantage of a table that pertains to more than one entity type?
It increases the probability of data inconsistencies
Which type of anomaly involves adding new rows that force users to create duplicate data?
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What is the main purpose of decomposing relations with anomalies in data normalization?
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Which of the following is a characteristic of a well-structured relation in a database?
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In the context of anomalies in the table, what is the main reason behind the insertion anomaly?
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According to the concept of functional dependency, what does the notation X-> Y signify?
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What is the purpose of normalization in relational database design?
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Which step in normalization involves removing redundant groups or multivalued attributes?
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What approach do most practical relational design projects take in designing relations?
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What does it mean for a relation to be in the first normal form (1NF)?
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If a project's number uniquely determines the project name and location, this is an example of which type of functional dependency?
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Which of the following best defines the purpose of data normalization in a relational database?
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In the context of relational database design, what is the primary disadvantage of a table that pertains to more than one entity type?
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Which characteristic best describes a well-structured relation in a database?
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What is the main reason behind the insertion anomaly in the context of anomalies in a table?
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According to the concept of functional dependency, what does the notation X-> Y signify?
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What step in normalization involves removing redundant groups or multivalued attributes?
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In the context of data normalization, which of the following is a characteristic of a relation in the first normal form (1NF)?
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Which type of anomaly involves adding new rows that force users to create duplicate data?
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What is the main purpose of decomposing relations with anomalies in data normalization?
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If a project's number uniquely determines the project name and location, this is an example of which type of functional dependency?
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According to the concept of functional dependency, what does the notation X→Y signify?
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What is the main disadvantage of a table that pertains to more than one entity type?
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What approach do most practical relational design projects take in designing relations?
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Which step in normalization involves removing redundant groups or multivalued attributes?
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What does it mean for a relation to be in the third normal form (3NF)?
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Which of the following best describes a well-structured relation in a database?
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Study Notes
Data Normalization in Relational Databases
- The primary goal of data normalization is to minimize data redundancy and dependency.
Well-Structured Relations
- A well-structured relation in a database is one that pertains to only one entity type.
- A characteristic of a well-structured relation is that it does not have redundant data.
Anomalies in Tables
- A table that pertains to more than one entity type has the main disadvantage of data redundancy and inconsistency.
- The insertion anomaly involves adding new rows that force users to create duplicate data.
- The main reason behind the insertion anomaly is that the table is not well-structured.
Functional Dependency
- The notation X → Y signifies that X functionally determines Y.
- If a project's number uniquely determines the project name and location, this is an example of functional dependency.
Normalization Steps
- The purpose of normalization in relational database design is to minimize data redundancy and dependency.
- The main purpose of decomposing relations with anomalies is to eliminate data redundancy and inconsistency.
- The third normal form (3NF) is a step in normalization that involves removing transitive dependencies.
Relational Database Design
- Most practical relational design projects take an approach that ensures each relation pertains to only one entity type.
- A relation is in the first normal form (1NF) if it does not have any repeating groups or multivalued attributes.
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