#1
What is the primary function of a data warehouse?
To process online transactions
To store and manage large volumes of historical data
To facilitate real-time data analytics
To optimize data entry processes
#2
Which of the following is a key component of Business Intelligence (BI) systems?
Data Warehouse
Data Mining
Data Encryption
Data Compression
#3
In Business Intelligence, what does the acronym KPI stand for?
Key Performance Indicator
Knowledge Process Improvement
Key Process Integration
Knowledge Performance Index
#4
What is the main purpose of a BI dashboard?
To store raw data
To provide a graphical representation of key performance indicators
To execute data transformation tasks
To manage data backups
#5
What is the primary goal of a data warehouse architect?
To optimize data entry processes
To design and implement an effective data warehouse system
To process online transactions
To develop business intelligence reports
#6
What does the term 'OLAP cube' refer to in the context of data analysis?
A three-dimensional representation of data for analysis
A compression algorithm for large datasets
A method for data encryption
An online data storage format
#7
What does OLAP stand for in the context of data analysis?
Online Analytical Processing
Offline Analytical Programming
Optimized Logical Analysis Protocol
Operational Language for Analytical Processing
#8
In data warehousing, what is the purpose of ETL?
Extract, Transform, Load
Evaluate, Test, Launch
Encode, Transfer, Log
Error, Trigger, Log
#9
What is the purpose of a data mart in the context of data warehousing?
To store raw, unprocessed data
To manage data backups
To store a subset of data focused on a specific business function or subject
To facilitate real-time data processing
#10
Which of the following is a characteristic of a well-designed data warehouse?
Highly normalized structure
Low data granularity
Efficient data retrieval and analysis
Minimal use of indexes
#11
What is the purpose of a dimension table in a data warehouse?
To store primary data
To store numerical data only
To provide descriptive information about business entities
To store historical data exclusively
#12
What is the significance of data granularity in data warehousing?
It refers to the level of detail or summarization of data
It indicates the total volume of data stored
It measures the speed of data retrieval
It determines the physical location of data
#13
What is the concept of a 'star schema' in a data warehouse design?
A schema with a central fact table connected to dimension tables
A schema with multiple fact tables interconnected
A schema designed for graph-based data representation
A schema optimized for hierarchical data storage
#14
What is the role of metadata in a data warehouse environment?
To store primary data
To provide information about the structure and content of the data
To handle security permissions
To execute data transformation tasks
#15
What is the difference between a data warehouse and a database?
Data warehouses store only historical data, while databases store current data.
Databases are designed for online transaction processing, while data warehouses are for online analytical processing.
Data warehouses are always cloud-based, while databases can be on-premise.
Databases do not support data analysis, while data warehouses focus on analysis and reporting.
#16
Which process involves cleaning, transforming, and validating data before it is loaded into a data warehouse?
ETL (Extract, Transform, Load)
OLAP (Online Analytical Processing)
OLTP (Online Transaction Processing)
Data Mining
#17
What is the significance of a slowly changing dimension (SCD) in data warehousing?
It represents dimensions that never change
It handles changes to dimensional data over time
It refers to dimensions that change rapidly
It only applies to numerical dimensions
#18
What is the significance of a snowflake schema in data warehousing?
A schema designed for hierarchical data storage
A schema with a central fact table connected to dimension tables
A schema with multiple fact tables interconnected
A schema with normalized dimensions