Data Management Foundations (C175 )
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Free Data Management Foundations (C175 ) Questions
What are some advantages of the dimensional model in data warehousing
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Simplicity, bias, and flexibility
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Simplicity, fairness, and flexibility
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Complexity, fairness, and rigidity
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Complexity, bias, and rigidity
Explanation
Correct Answer B. Simplicity, fairness, and flexibility
Explanation
The dimensional model offers simplicity in its design, which makes it user-friendly and easy to understand. It ensures fairness by maintaining consistency in data representation and provides flexibility to adapt to changing business needs, such as adding new dimensions or facts without major restructuring.
Why other options are wrong
A. Simplicity, bias, and flexibility .Bias is not an advantage of the dimensional model. The model is designed to be neutral and unbiased, allowing for accurate and fair analysis. Including bias as an advantage misrepresents the purpose and benefits of the model.
C. Complexity, fairness, and rigidity. The dimensional model is not characterized by complexity or rigidity. Its strength lies in being simple to understand and highly adaptable, making it suitable for both technical and non-technical users.
D. Complexity and rigidity are not features of the dimensional model. These characteristics would hinder its effectiveness in data warehousing, as the model is meant to be user-friendly and flexible.
Is any column or a combination of columns that can qualify as unique key in a database
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Foreign Key
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Ternary Relationship
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Primary Key
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Candidate Key
Explanation
Correct Answer D. Candidate Key
Explanation
A candidate key is a column or a combination of columns in a database table that can uniquely identify rows within the table. Candidate keys are potential unique identifiers for table records, and one of them can be chosen as the primary key. Unlike the primary key, candidate keys may not necessarily be selected as the table's main identifier.
Why other options are wrong
A. Foreign Key: A foreign key is used to establish a relationship between two tables, linking a column in one table to the primary key in another. It does not qualify as a unique key for the table in which it resides.
B. Ternary Relationship: A ternary relationship involves three entities and does not relate to the concept of unique keys in a table. This term is about the relationships in the entity-relationship model.
C. Primary Key: A primary key is a specific candidate key that has been selected to uniquely identify rows in a table. However, the question asks for any column or combination of columns that can qualify as a unique key, which is the definition of a candidate key.
Will delete all records that reference the primary key
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Cascade Delete
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Cascade Update
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Query Mode
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Domino Delete
Explanation
Correct Answer A. Cascade Delete
Explanation
Cascade Delete is a referential action in relational database systems where deleting a record with a primary key also deletes all related records that reference the primary key through foreign keys. This ensures referential integrity by preventing orphan records in child tables. It is commonly used in parent-child table relationships to automate the deletion of dependent rows.
Why other options are wrong
B. Cascade Update: Cascade Update is a different referential action that updates the values in foreign key columns when the corresponding primary key value is updated. It does not delete records.
C. Query Mode: Query Mode refers to the operational mode for querying data in a database and is unrelated to deletion or referential actions.
D. Domino Delete: This term is not a standard database concept and does not describe any specific referential action in relational databases.
What does a right join select in a database system
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All right table rows
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All table rows
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All left table rows
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Matching left and right table rows
Explanation
Correct Answer A. All right table rows
Explanation
A right join retrieves all rows from the right table and the matching rows from the left table. If there is no match in the left table, the result will include NULL values for the left table's columns. This ensures that all rows from the right table are represented in the result.
Why other options are wrong
B. All table rows
A right join does not select all rows from both tables. It includes all rows from the right table but only the matching rows from the left table.
C. All left table rows
A right join does not include all rows from the left table unless they match rows in the right table. Unmatched rows from the left table are excluded.
D. Matching left and right table rows
While matching rows between the left and right tables are included, a right join also includes unmatched rows from the right table with NULL values for the left table's columns. This answer is incomplete.
What does the SQL command 'DELETE FROM Horse WHERE' do
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Creates a new table named Horse
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Deletes rows from the Horse table based on conditions
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Updates data in the Horse table
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Inserts new data into the Horse table
Explanation
Correct Answer B. Deletes rows from the Horse table based on conditions
Explanation
The DELETE FROM command removes rows from a table based on the conditions specified in the WHERE clause. If no WHERE clause is provided, all rows in the table will be deleted.
Why other options are wrong
A. Creates a new table named Horse
The DELETE command does not create a table. Creating a table is done with the CREATE TABLE command.
C. Updates data in the Horse table
The DELETE command does not update data in the table. Updating data is done with the UPDATE command.
D. Inserts new data into the Horse table
The DELETE command does not insert new data into the table. This is done with the INSERT INTO command.
What is a relationship defined as according to the text
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Association between Entities only
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Association between Objects only
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Association between Objects, Entities, Databases, Fields
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Association between Databases only
Explanation
Correct Answer A. Association between Entities only
Explanation
A relationship in database terminology refers to the association between two or more entities. This association helps define how entities interact with one another in a database model.
Why other options are wrong
B. Association between Objects only: Relationships in databases are not limited to objects but primarily focus on entities.
C. Association between Objects, Entities, Databases, Fields: This is an overly broad definition that includes concepts unrelated to the core database definition of a relationship.
D. Association between Databases only: Relationships are about the connections between entities, not databases themselves.
In which normal form should relations be normalized for most business transactional databases
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3NF
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1NF
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2NF
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6NF
Explanation
Correct Answer A. 3NF
Explanation
Most business transactional databases are normalized to the third normal form (3NF). This ensures that the database eliminates transitive dependencies while maintaining data integrity and avoiding redundancy. 3NF is optimal for transactional systems as it balances normalization and performance effectively.
Why other options are wrong
B. 1NF: While 1NF removes repeating groups and ensures the atomicity of attributes, it is the starting point of normalization and does not eliminate partial or transitive dependencies. It is insufficient for most business databases.
C. 2NF: Although 2NF removes partial dependencies, it does not eliminate transitive dependencies, which can still cause anomalies. This is why most databases are normalized to 3NF.
D. 6NF: This level of normalization is rarely used in business transactional databases because it often leads to performance issues and over-normalization, which can complicate queries and reduce efficiency.
What is the difference between data and information in Business Intelligence
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Data is raw value elements, while information is organized data with context.
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Data is processed facts, while information is unprocessed.
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Data is inferred, while information is calculated.
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Data is collected, while information is stored.
Explanation
Correct Answer A. Data is raw value elements, while information is organized data with context.
Explanation
Data refers to unprocessed, raw elements that serve as inputs for analysis, while information is processed, organized, and structured data that provides meaning or context. In Business Intelligence, the distinction helps define how raw inputs transform into actionable insights.
Why other options are wrong
B. Data is not processed facts; that description applies to information. Information is derived after processing data.
C. Data is not inferred; inference involves analyzing data to draw conclusions, which is a step beyond raw data.
D. Data is not simply collected while information is stored. Both data and information can be stored, but their difference lies in processing and organization.
Which notation easily identifies multivalued attributes according to the text
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Foot
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Chen
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UML
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Bachman
Explanation
Correct Answer B. Chen
Explanation
The Chen notation, commonly used in Entity-Relationship diagrams, easily identifies multivalued attributes by representing them with double ovals. This graphical representation distinguishes them from other types of attributes.
Why other options are wrong
A. Foot: Foot notation is not a commonly recognized method for identifying multivalued attributes.
C. UML: UML (Unified Modeling Language) is primarily used for object-oriented design and does not explicitly highlight multivalued attributes as clearly as Chen notation.
D. Bachman: Bachman notation focuses on relationships but does not emphasize multivalued attributes in the way Chen notation does.
Which of the following is structured data
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Images
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Email Attachments
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Records in a database
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Files
Explanation
Correct Answer C. Records in a database
Explanation
Structured data is highly organized and stored in predefined formats like rows and columns within a database. Records in a database fit this description, as they follow a schema and are easy to query using SQL.
Why other options are wrong
A. Images: Images are examples of unstructured data because they lack a predefined format and cannot be easily stored in tables or queried using SQL.
B. Email Attachments: Email attachments can contain diverse types of unstructured data (e.g., text, images, videos), which are not organized in a tabular format.
D. Files: Files can be either structured or unstructured depending on their content, but the term "files" in general does not inherently mean structured data.
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