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Questions and Answers
What is a derived attribute?
What is a derived attribute?
Which of the following is an example of a derived attribute?
Which of the following is an example of a derived attribute?
Why might a complex structure be necessary in data modeling?
Why might a complex structure be necessary in data modeling?
Which of the following statements is false regarding derived attributes?
Which of the following statements is false regarding derived attributes?
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What can be an example of data that requires a complex structure?
What can be an example of data that requires a complex structure?
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What does a column in a data table primarily represent?
What does a column in a data table primarily represent?
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What is the purpose of the entity name in a database table?
What is the purpose of the entity name in a database table?
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Which statement correctly describes how data is organized in a table?
Which statement correctly describes how data is organized in a table?
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Which of the following is NOT a characteristic of a column in a data table?
Which of the following is NOT a characteristic of a column in a data table?
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How are the contents of a data table structured?
How are the contents of a data table structured?
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What is the primary purpose of grouping data in SQL?
What is the primary purpose of grouping data in SQL?
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Which of the following represents the correct element of a basic SQL SELECT statement with grouping?
Which of the following represents the correct element of a basic SQL SELECT statement with grouping?
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Which statement best represents an aggregate function that can be used after grouping?
Which statement best represents an aggregate function that can be used after grouping?
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When using aggregate functions in a SQL query, which clause must be included after the WHERE clause?
When using aggregate functions in a SQL query, which clause must be included after the WHERE clause?
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What should the SQL statement include to ensure that aggregate results are filtered appropriately?
What should the SQL statement include to ensure that aggregate results are filtered appropriately?
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What is the primary purpose of the referencing keyword in a constraint?
What is the primary purpose of the referencing keyword in a constraint?
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What does establishing a reference between two tables with a constraint ensure?
What does establishing a reference between two tables with a constraint ensure?
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Which of the following is NOT a function of the referencing keyword in database constraints?
Which of the following is NOT a function of the referencing keyword in database constraints?
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When using referencing in constraints, what must be true for the data in the referencing table?
When using referencing in constraints, what must be true for the data in the referencing table?
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Which statement accurately describes the relationship created by the referencing keyword?
Which statement accurately describes the relationship created by the referencing keyword?
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What does the command SELECT * FROM student WHERE GPA BETWEEN 70 AND 75;
achieve?
What does the command SELECT * FROM student WHERE GPA BETWEEN 70 AND 75;
achieve?
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Which part of the SQL command specifies the range of GPA values to filter?
Which part of the SQL command specifies the range of GPA values to filter?
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What would happen if the command was modified to SELECT * FROM student WHERE GPA BETWEEN 70 AND 75 OR GPA = 80;
?
What would happen if the command was modified to SELECT * FROM student WHERE GPA BETWEEN 70 AND 75 OR GPA = 80;
?
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Why is the keyword 'BETWEEN' used instead of the more general '>=' and '<=' in the command?
Why is the keyword 'BETWEEN' used instead of the more general '>=' and '<=' in the command?
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If the command is executed and there are no students with a GPA between 70 and 75, what will be the result?
If the command is executed and there are no students with a GPA between 70 and 75, what will be the result?
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What does the SQL command SELECT fname, city, salary FROM person WHERE city = 'Irbid';
retrieve?
What does the SQL command SELECT fname, city, salary FROM person WHERE city = 'Irbid';
retrieve?
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Which part of the SQL command specifies the condition for which rows to return?
Which part of the SQL command specifies the condition for which rows to return?
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If the FROM
clause is missing from the SQL command, what will happen?
If the FROM
clause is missing from the SQL command, what will happen?
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What type of data structure is being referenced with the term person
in the SQL command?
What type of data structure is being referenced with the term person
in the SQL command?
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If the condition in the WHERE
clause was changed to WHERE city = 'Amman'
, what would be the outcome?
If the condition in the WHERE
clause was changed to WHERE city = 'Amman'
, what would be the outcome?
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Flashcards
String
String
A data type that represents a sequence of characters.
Derived Attribute
Derived Attribute
A characteristic that is calculated or derived from other attributes in the data.
Atomic Attribute
Atomic Attribute
An attribute that cannot be broken down into smaller parts.
Composite Attribute
Composite Attribute
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Phone Number
Phone Number
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Data
Data
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Column
Column
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Attribute
Attribute
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Entity Name
Entity Name
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Entity
Entity
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SELECT Statement
SELECT Statement
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SELECT Clause
SELECT Clause
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FROM Clause
FROM Clause
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WHERE Clause
WHERE Clause
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Condition
Condition
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referencing
referencing
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referencing constraint
referencing constraint
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referenced column
referenced column
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referenced table
referenced table
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referencing constraint purpose
referencing constraint purpose
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SELECT command
SELECT command
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SELECT *
SELECT *
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BETWEEN operator
BETWEEN operator
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Aggregate Function
Aggregate Function
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Grouping
Grouping
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SELECT Statement with Aggregate Functions
SELECT Statement with Aggregate Functions
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GROUP BY Clause
GROUP BY Clause
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Columns in SELECT Statement
Columns in SELECT Statement
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Study Notes
Database Design
- Database design involves analysis, entity-relationship diagrams (ER-diagrams), schema design (DDL), and data manipulation (DML).
- Analysis focuses on identifying entities, attributes, and relationships between them.
- Entities represent objects or concepts (e.g., Student, Course).
- Attributes describe characteristics of entities (e.g., student name, course name).
- Relationships depict connections between entities (e.g., student takes courses).
Entity Relationship Diagrams (ER diagrams)
- ER diagrams visually represent the entities, attributes, and relationships in a database.
- Key attributes: unique identifiers for entities (e.g., student ID). These help identify and distinguish one entity from another
- Composite attributes: attributes that consist of multiple smaller attributes (e.g., an address has city, street, etc.).
- Multi-valued attributes: attributes that can hold multiple values for an entity (e.g., phone numbers for a student).
- Derived attributes: attributes that can be calculated from other attributes (e.g., age from date of birth).
Relationships
- Cardinality ratio defines the number of entities in one entity set that can be related to an entity in another entity set. Cardinality ratios are 1:1, 1:M, or M:N (sometimes written as M:M).
- Participation constraint: total or partial participation of an entity in a relationship indicates whether every entity takes part in the relationship (total) or if some entities can be excluded from a specific relationship (partial). The cardinality ratio and participation constraint work together to dictate how entities map during schema design
Entity Types
- Strong entities exist independently and have a unique primary key.
- Weak entities depend on a strong entity and don't have their own primary key. The primary key of the weak entity includes at least one identifying attribute from the related strong entity.
Database Management Systems (DBMS)
- DBMS is software that manages databases.
- SQL Server is a popular relational database system.
- SQL is a structured query language used to interact with relational databases.
- DDL (Data Definition Language): used to create, modify, and delete databases and tables. Common commands include CREATE, DROP, ALTER.
- DML (Data Manipulation Language): used to insert, retrieve, and update data in tables. Common commands include INSERT, SELECT, UPDATE, DELETE.
Constraints
- Constraints define rules and restrictions on data in a table.
- Primary key: a unique identifier for each record in a table. Each table must have a primary key.
- Foreign key: a field in one table that refers to the primary key of another table, creating a link between the two tables.
- Unique: a constraint that enforces uniqueness of a column's values.
- Not null: a constraint that enforces that a column cannot contain null values.
- Check: a constraint that specifies a condition that values in a column must satisfy.
- Default: a constraint that specifies a default value for a column if no other value is given.
SQL Operations (DML)
- SELECT: retrieve data from tables based on specified criteria (filtering rows and/or columns).
- INSERT: add new data to a table.
- UPDATE: modify existing data in a table.
- DELETE: remove data from a table.
SQL Functions (aggregate functions)
- COUNT: calculates the number of rows in a table.
- AVG: calculates the average of values in a column.
- SUM: calculates the sum of values in a column.
- MIN: finds the smallest value in a column.
- MAX: finds the largest value in a column.
- These aggregate function with the 'group by' clause are used to retrieve information about multiple groups of data rather than just the whole table
SQL Clauses (additional features)
- ORDER BY: sorts the retrieved data based on column values.
- GROUP BY: groups rows that have the same values in specified columns.
- HAVING: filters grouped rows based on conditions.
- TOP/LIMIT specifies how many rows to return from the selected result.
- LIKE: searches for patterns in column values (wildcards, e.g., % for any character sequence, _ for any single character).
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Description
This quiz covers the fundamentals of database design, including the analysis of entities and relationships, as well as the creation of entity-relationship diagrams (ER diagrams). Key concepts such as attributes, unique identifiers, and types of attributes are also explored. Test your understanding of how to design and represent data structures effectively.