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Questions and Answers
What is the primary goal of minimizing redundancy in database design?
What is the primary goal of minimizing redundancy in database design?
Which guideline helps ensure that the meaning of attributes is clear in a relation schema?
Which guideline helps ensure that the meaning of attributes is clear in a relation schema?
How should attributes from different entity types be handled according to guideline 1?
How should attributes from different entity types be handled according to guideline 1?
What is meant by disallowing the possibility of spurious tuples in a relation schema?
What is meant by disallowing the possibility of spurious tuples in a relation schema?
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Which of the following is considered a violation of guideline 1 in relation schema design?
Which of the following is considered a violation of guideline 1 in relation schema design?
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What is the primary focus of functional dependency in database systems?
What is the primary focus of functional dependency in database systems?
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Which SQL command is used to permanently remove a database object?
Which SQL command is used to permanently remove a database object?
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What does the SELECT command in SQL primarily do?
What does the SELECT command in SQL primarily do?
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In the database design phases, what is the first step after confirming the conceptual schema meets functional requirements?
In the database design phases, what is the first step after confirming the conceptual schema meets functional requirements?
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What is an essential function of normalization in database design?
What is an essential function of normalization in database design?
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Which of the following statements best describes a relation schema?
Which of the following statements best describes a relation schema?
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Which SQL clause is used to filter records based on a specified condition?
Which SQL clause is used to filter records based on a specified condition?
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What is the role of the EER model in database design?
What is the role of the EER model in database design?
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What is true about functional dependencies (FDs)?
What is true about functional dependencies (FDs)?
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Why is redundancy in a database considered problematic?
Why is redundancy in a database considered problematic?
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Under what condition can we state that a functional dependency does not hold?
Under what condition can we state that a functional dependency does not hold?
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What can functional dependencies help determine in database design?
What can functional dependencies help determine in database design?
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Which statement about functional dependencies is inaccurate?
Which statement about functional dependencies is inaccurate?
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What does a functional dependency (FD) signify?
What does a functional dependency (FD) signify?
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If two tuples have the same value for attribute X, what must be true according to functional dependency?
If two tuples have the same value for attribute X, what must be true according to functional dependency?
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What does it imply if X is a candidate key?
What does it imply if X is a candidate key?
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Can we infer a functional dependency from any relation state?
Can we infer a functional dependency from any relation state?
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What is not determined by the statement X → Y?
What is not determined by the statement X → Y?
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Which of the following statements about functional dependency is correct?
Which of the following statements about functional dependency is correct?
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If X → Y is established, which of the following is a necessary conclusion?
If X → Y is established, which of the following is a necessary conclusion?
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If X = 1 leads to Y = AA, what can be inferred about the functional dependency?
If X = 1 leads to Y = AA, what can be inferred about the functional dependency?
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What is the primary purpose of grouping attributes in a database schema?
What is the primary purpose of grouping attributes in a database schema?
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Which of the following describes an insertion anomaly?
Which of the following describes an insertion anomaly?
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What is a modification anomaly?
What is a modification anomaly?
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What issue arises from having attributes that do not apply to all tuples in a relation?
What issue arises from having attributes that do not apply to all tuples in a relation?
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Which guideline is primarily focused on preventing update anomalies?
Which guideline is primarily focused on preventing update anomalies?
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Which of these problems can be exacerbated by excessive null values in a database?
Which of these problems can be exacerbated by excessive null values in a database?
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How does deleting the last employee from a department impact the stored data?
How does deleting the last employee from a department impact the stored data?
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What might be the consequence of modifying an attribute like Dmgr_ssn within a database?
What might be the consequence of modifying an attribute like Dmgr_ssn within a database?
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What is the primary purpose of normalization in database design?
What is the primary purpose of normalization in database design?
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Which of the following accurately describes First Normal Form (1NF)?
Which of the following accurately describes First Normal Form (1NF)?
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Which functional dependency indicates potential redundancy in a relation?
Which functional dependency indicates potential redundancy in a relation?
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What does BCNF stand for in the context of database normalization?
What does BCNF stand for in the context of database normalization?
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Which normal form ensures that all attributes in a relation are functionally dependent on the primary key?
Which normal form ensures that all attributes in a relation are functionally dependent on the primary key?
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Study Notes
Functional Dependency and Normalization
- Topics covered include functional dependency and normalization within database systems.
- A diagram depicts X functionally defining Y.
- Another diagram illustrates the different tiers of DDL, DML, DCL, TCL.
SQL Components
- DDL (Data Definition Language) defines schemas, relations, domains and views.
- CREATE, DROP, ALTER, TRUNCATE are part of DDL.
- DML (Data Manipulation Language) queries data.
- SELECT, FROM, WHERE, ORDER BY, GROUP BY, HAVING are parts of DML.
- INSERT, DELETE, UPDATE are parts of DML.
- DCL (Data Control Language) creates roles, permissions, access.
- TCL (Transaction Control Language) handles transaction-specific operations.
Database Design Phases
- The phases of database design are presented in a diagram.
- The diagram shows a step-by-step process from functional and data requirements analysis to the implementation of the application programs and internal schema.
- The process includes conceptual design, logical design, and physical design.
- Specific steps and substeps are named and shown in the diagram by boxes.
Conceptual and Logical Design
- A process for building an Entity Relationship model (ER) is outlined.
- Attributes are grouped to create a relational schema.
- Relationships are grouped to form a database schema.
- A logical model is built from the conceptual model.
- The conceptual model is implemented on a database management system (DBMS).
Guideline 1
- Database design criteria for a relation schema include clear attribute semantics.
- Attributes should have real-world meaning and interpretations.
- Combining attributes from different entity types should be avoided.
Guideline 2: Reducing Redundant Information
- The goal is to minimize storage space of the base relation.
- Update anomalies (insertion, deletion, modification) are crucial to avoid.
Guideline 3: Reducing Null Values
- Attributes that don't apply to all tuples should ideally not have nulls.
- Nulls lead to wasted storage space, issues with join operations, and problems with aggregate operations.
Guideline 4: Disallowing Spurious Tuples
- Invalid tuples can potentially arise from incorrect table joins.
- The need to avoid table joins that result in invalid tuples is important for accurate data.
Functional Dependencies
- A formal analysis tool for relational schema issues is functional dependency.
- It allows pinpointing guideline violations in precise terms.
- X functionally determines Y, meaning the values of X determine the values of Y.
- Formally: if X = 1 then Y = AA; if X = 2 then Y = BB; if X= 3 then Y = BB; and if X = 4 then Y = CC
- If X and Y agree in X Attribute values, then they must agree in all Y Attribute values.
Example relation
- Example databases (e.g., EMPLOYEE, DEPARTMENT, PROJECT, WORKS_ON) are provided with attributes and primary/foreign keys.
- Different diagrams that violates guidelines show the need for normalization.
Normalization
- A database design technique for organizing tables and reducing redundancy.
- It helps to avoid anomalies and dependencies in tables.
- Functional dependencies are integral for normalization.
- Normal forms (like 1NF, 2NF, 3NF, BCNF, 4NF) are levels of organization that reduce relational data anomalies.
- Edgar F. Codd is a key figure in this area.
Why Redundancy is Bad
- Redundant data storage consumes more space and can lead to discrepancies.
- Update Anomalies, Deletion Anomalies, and Insertion Anomalies occur with redundancy.
Solution: Decomposition of Schema
- Decomposing schemas can be a solution to reduce redundancy.
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Description
Test your knowledge on the fundamental principles of database design, including redundancy minimization, functional dependency, and normalization. This quiz covers important SQL commands and guidelines for effective relational schema design. Prepare to challenge your understanding of database concepts!