A transaction in the context of databases is a sequence of operations treated as a single unit.

A weak entity is one that cannot exist without a strong entity.

ADO (ActiveX Data Objects) is primarily used for data access in web applications, allowing developers to interact with databases.

An attribute is a property or characteristic of an entity in an ER model.

In Object-Oriented Data Modeling, an object is an instance of a class that encapsulates data and behavior.

Concurrency control in a database system is managing simultaneous operations without conflicting.

Concurrency control in a DBMS ensures data consistency during simultaneous access by multiple transactions.

Denormalization is the process of increasing redundancy in a database to improve read performance by reducing the number of joins needed.

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.

Normalization is the process of organizing data to reduce redundancy.

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.

The default isolation level in SQL Server 2000 is Read Committed, which prevents dirty reads.

The main advantage of normalization is improved data integrity by reducing data redundancy and ensuring that data dependencies are properly enforced.

A clustered index stores data in a sorted order based on the indexed column, which can significantly improve the performance of data retrieval.

The main advantage of using an ER model is that it provides a clear visual representation of data and relationships.

Indexes are used to speed up data retrieval operations by providing quick access paths to the data.

Indexing improves query performance by allowing the database to find data more quickly, which is crucial in a data warehouse environment.

Indexing improves data retrieval speed by allowing the database to find data more quickly.

The main challenge of concurrency control in distributed databases is managing transactions across multiple nodes to prevent conflicts and ensure data integrity.

The main function of a DBMS architecture is to manage data storage and retrieval, ensuring efficient access and manipulation of data.

A foreign key is used to establish a relationship between two tables and enforce referential integrity.

The main goal of concurrency control in a DBMS is to ensure data consistency when multiple transactions are executed simultaneously.

The main goal of creating an ER model is to visualize the data requirements and relationships.

The main goal of normalization is to eliminate data anomalies and ensure data integrity by organizing data efficiently.

The main goal of 3NF is to eliminate transitive dependencies, ensuring that non-key attributes are only dependent on the primary key.

The main goal of transaction management is to maintain data integrity by ensuring that transactions are processed reliably.

The main goal of using an ER model is to visually represent data and the relationships between them.

The main purpose of an ER model is to visualize the structure of a database, including entities, attributes, and relationships.

The main purpose of concurrency control in a DBMS is to ensure data consistency when multiple transactions are executed simultaneously.

Data normalization aims to reduce data redundancy and improve data integrity, although it is less common in data warehousing compared to operational databases.