Data Management Foundations (C175 )
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Free Data Management Foundations (C175 ) Questions
In which normal form should a table be before creating table structures in database design
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Normalize the database before creating table structures
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Consider more important issues such as performance before normalizing
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Only normalize the database when performance problems occur
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Create table structures then normalize the database
Explanation
Correct Answer A. Normalize the database before creating table structures
Explanation
Before creating table structures, the database should be normalized to eliminate data redundancy and ensure the integrity of the data. This process minimizes anomalies and lays the groundwork for an efficient and consistent database design.
Why other options are wrong
B. Consider more important issues such as performance before normalizing: This is incorrect because normalization should be a priority during the initial design phase to ensure a robust structure. Performance issues are addressed after normalization, not before it, to maintain a balance between performance and design integrity.
C. Only normalize the database when performance problems occur: This is wrong because waiting for performance problems to occur before normalizing defeats the purpose of normalization. Preventive normalization ensures that potential issues are avoided in the first place.
D. Create table structures then normalize the database: This is incorrect because creating table structures before normalizing can lead to poor design and data anomalies. Normalization guides the design process by defining efficient and logical table relationships.
What does a full join select in a database system
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All right table rows
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All left table rows
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Matching left and right table rows
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All left and right table rows
Explanation
Correct Answer D. All left and right table rows
Explanation
A full join retrieves all rows from both the left and right tables. If there is a match between the tables, the rows are combined. For unmatched rows, NULL values are used for the columns of the table without a match. This ensures that no data is excluded from the result set.
Why other options are wrong
A. All right table rows
A full join does not only include all rows from the right table. It also includes all rows from the left table, with unmatched rows being filled with NULL values.
B. All left table rows
A full join does not only include all rows from the left table. It also includes all rows from the right table, with unmatched rows being filled with NULL values.
C. Matching left and right table rows
A full join includes both matched and unmatched rows. It does not exclusively select rows that match between the left and right tables.
What is the practical significance of taking the logical view
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False
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Maybe
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True
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Not Sure
Explanation
Correct Answer C. True
Explanation
Taking the logical view in database design is practically significant as it allows the user to focus on data organization, relationships, and accessibility without worrying about the physical storage details. This abstraction helps streamline database design and ensures flexibility in adapting to business needs.
Why other options are wrong
A. False: It is incorrect to say that the logical view lacks practical significance, as it plays a critical role in organizing and structuring data effectively.
B. Maybe: This option does not provide a definitive answer. Logical views are definitely significant in database design.
D. Not Sure: This does not address the question directly. The logical view has clear and practical importance in database design and management.
What is a unique index where the index key can have only one pointer value associated with it
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Superkey
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Index
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Rule
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Primary
Explanation
Correct Answer D. Primary
Explanation
A primary index is a unique index ensuring that each key has one and only one pointer value. This characteristic supports the unique identification of rows, making it essential for maintaining data integrity and preventing duplication in the database.
Why other options are wrong
A. Superkey: While a superkey uniquely identifies rows, it is not specifically related to the unique indexing mechanism of a primary key. Superkeys are more about logical uniqueness rather than physical indexing.
B. Index: Not all indexes are unique. Non-unique indexes may have multiple pointer values for a single key, unlike a primary index that enforces uniqueness.
C. Rule: A rule has no direct role in defining indexes or enforcing uniqueness. It typically applies to constraints or validation conditions in the database.
What does the first value represent when indicating cardinality according to the text
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Total number of entities
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Average number of entities
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Maximum number of associated entities
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Minimum number of associated entities
Explanation
Correct Answer D. Minimum number of associated entities
Explanation
The first value in cardinality indicates the minimum number of associated entities in a relationship. This specifies the least amount of participation required for an entity in a given relationship.
Why other options are wrong
A. Total number of entities: Cardinality does not refer to the total number of entities but rather the relationship between entities.
B. Average number of entities: Cardinality does not involve averages; it specifies minimum and maximum participation in relationships.
C. Maximum number of associated entities: The second value, not the first, represents the maximum number of associated entities.
An associative entity is an element of the entity-relationship model. All relationships for the associative entity should be many
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Cardinality
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Association Rules
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Associative Entity
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Referential Integrity
Explanation
Correct Answer C. Associative Entity
Explanation
An associative entity is an entity in the entity-relationship (ER) model that is used to link two or more entities that have a many-to-many (M:N) relationship. All relationships involving the associative entity should be "many" because it is designed to represent the association between other entities and often contains attributes specific to the relationship.
Why other options are wrong
A. Cardinality: Cardinality defines the number of occurrences of one entity that is related to the number of occurrences of another entity, but it does not specifically relate to the concept of an associative entity.
B. Association Rules: Association rules refer to data mining and not the ER model. They are unrelated to associative entities in the context of database design.
D. Referential Integrity: Referential integrity ensures that relationships between tables remain consistent, but it is not a defining characteristic of associative entities.
A foreign key must
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Be numeric
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Be unique
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Be defined in all tables within the database
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Match the value of a primary key in a related table
Explanation
Correct Answer D. Match the value of a primary key in a related table
Explanation
A foreign key establishes a relationship between two tables by referencing the primary key in a related table. This ensures referential integrity by making sure that every value in the foreign key column corresponds to a valid primary key in the referenced table.
Why other options are wrong
A. Be numeric
A foreign key does not need to be numeric. It can take on any data type that matches the primary key of the referenced table, such as a string or date. Restricting foreign keys to numeric values is unnecessary and limits database flexibility.
B. Be unique
A foreign key is not required to be unique because multiple rows in a child table can reference the same value in the parent table. This allows for many-to-one relationships to be represented properly in the database.
C. Be defined in all tables within the database
Foreign keys do not have to be defined in every table of a database. They are only implemented where relationships between tables need to be enforced to ensure consistency.
What is a database system also known as
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Database management system
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Data management system
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Database software
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Data system
Explanation
Correct Answer A. Database management system
Explanation
A database system is commonly referred to as a Database Management System (DBMS). It is software that enables users to define, create, manage, and interact with databases, ensuring data storage, retrieval, and manipulation.
Why other options are wrong
B. Data management system
A "data management system" is a broader term that encompasses multiple aspects of managing data but does not specifically refer to a database system.
C. Database software
While "database software" can describe a DBMS, it is less precise and is not the standard term used in the field. DBMS emphasizes the management capabilities of the system.
D. Data system
A "data system" is a generic term and does not specifically represent a database system or its functionalities.
What is the purpose of the SQL INSERT command
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To retrieve data from a table
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To delete data from a table
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To add new data into a table
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To modify data in a table
Explanation
Correct Answer C. To add new data into a table
Explanation
The SQL INSERT command is used to add new rows of data into a table. It allows users to specify the table and the values to be inserted into the corresponding columns.
Why other options are wrong
A. To retrieve data from a table: Retrieving data is the purpose of the SELECT command, not INSERT. INSERT adds data to a table.
B. To delete data from a table: Deleting data is done using the DELETE command, not INSERT.
D. To modify data in a table: Modifying existing data is the purpose of the UPDATE command, not INSERT. INSERT only adds new rows.
What column or columns should you use for the primary key
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StudentID, Date
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StudentID, Test, Date, InstructorID
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StudentID, Test, and Date
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Test
Explanation
Correct Answer C. StudentID, Test, and Date
Explanation
A primary key should uniquely identify each record in the table. By combining StudentID, Test, and Date, you ensure a unique combination that can differentiate one record from another in cases where a student takes multiple tests on different dates. This combination reduces redundancy and ensures data integrity in the table.
Why other options are wrong
A. StudentID, Date: This option does not account for the Test column, which is essential for distinguishing between multiple tests a student may take on the same date. This can lead to data ambiguity.
B. StudentID, Test, Date, InstructorID: While this could uniquely identify records, including InstructorID unnecessarily complicates the primary key and introduces redundancy, as it can be linked through relationships instead.
D. Test: Using only the Test column as the primary key fails to account for multiple students taking the same test, resulting in duplicate records.
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