Data Warehouse and Data Mining Quiz

What is the purpose of a data warehouse?

• To manage business intelligence activities

• To process transactions

• To store historical data

• To perform data mining

Which of the following is a characteristic of a data warehouse?

• Subject-oriented

• Real-time data processing

• Transactional data storage

• Operational data analysis

What is the main function of Extraction, Transformation, and Loading (ETL) tools in a data warehouse?

• Perform data conversions and summarizations

• Populate missing data with defaults

• Eliminate unwanted data from operational databases

• All of the above

What is metadata in the context of a data warehouse?

• Data about data that describes the data warehouse

• Data used for data mining

• Data stored in a data mart

• Data used for OLAP operations

Which tool is used to analyze data using multi-dimensional views in a data warehouse?

• Query and reporting tool

• Application development tool

• Data mining tool

• OLAP tool

What is the purpose of a data mart?

• To provide decision support for a specific user group

• To store historical data

• To perform data mining

• To integrate multiple sources of data

What is the benefit of a data warehouse?

• Allows quick access to critical data from multiple sources

• Provides inconsistent information on cross-functional activities

• Increases stress on the production system

• Reduces total turnaround time for analysis and reporting

What is a star schema in data modeling?

• A technique to map multi-dimensional data into a relational database

• A technique to map relational data into a multi-dimensional database

• A technique to map data mining results into a data warehouse

• A technique to map OLAP operations into a data mart

What is the purpose of Online Analytical Processing (OLAP)?

• Data analysis and reporting for business decisions

• Managing day-to-day transactions

• Analyzing hidden trends and patterns in data

• Automated prediction of future events

What is the main difference between OLAP and OLTP?

• OLAP focuses on data analysis, while OLTP focuses on transaction processing

• OLAP uses standard queries, while OLTP uses complex queries

• OLAP manages day-to-day operations, while OLTP provides historical data

• OLAP is used by business analysts, while OLTP is used by database administrators