30 Questions
What is the main difference between OLTP and OLAP systems in terms of database design?
OLTP systems are application-oriented while OLAP systems are subject-oriented
Which of the following is a key characteristic of OLAP systems?
Integrated, consolidated historical data
Why is it important to separate the data warehouse from the OLTP system?
To improve the performance of both systems
What is the primary function of OLTP systems?
Day-to-day operations
Which of the following is a characteristic of OLAP systems?
Integrated, consolidated historical data
What is the main difference between OLTP and OLAP systems in terms of database size?
OLAP systems have larger database sizes compared to OLTP systems
What is a data warehouse?
A decision support database separate from the operational database
Which term describes the characteristic of a data warehouse that provides historical data for analysis?
Time-variant
What is one of the primary purposes of a data warehouse?
Supporting management's decision-making process
Which of the following is an example of a data warehousing tool?
Google BigQuery
In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:
Subject-oriented
What distinguishes a data warehouse from an operational database?
Operational databases are not used for decision support.
Which of the following is NOT a type of OLAP server architecture?
Transactional OLAP (TOLAP)
What is the purpose of a virtual warehouse?
To provide a set of views over operational databases without physically storing the data
Which of the following is a recommended step in data warehouse development?
All of the above
What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?
ROLAP provides greater scalability
What is the purpose of a data mart?
To store a subset of the data from a central data warehouse
What is the difference between a data warehouse and a virtual warehouse?
A data warehouse stores data from multiple operational databases, while a virtual warehouse does not store any data
What is the goal of discovery-driven exploration of data cubes?
To guide users through data analysis based on exceptions
What is the purpose of using visual cues in data cube analysis?
To indicate exceptions and their degree in the data
What do Exception indicators in data cubes signify?
Values significantly different from expected based on a model
How does discovery-driven exploration differ from hypothesis-driven exploration?
It guides users based on exceptions found in the data
What is the primary focus of multi-feature cubes?
Complex queries involving multiple dependent aggregates at multiple granularities
How are SelfExp, InExp, and PathExp values computed in data mining?
They are automatically calculated during cube construction
What kind of applications can a data warehouse support?
Multidimensional analysis, basic statistical analysis, visualization tools
What does OLAP stand for in the context of data warehouses?
Online Analytical Processing
Which technology plays a role in transitioning from data warehousing to data mining?
Data cube technology
What kind of analysis is supported by data mining?
Construction of analytical models
Which of the following is NOT part of a data warehouse architecture?
Data cleaning
What is the main purpose of multidimensional analysis in data warehousing?
To support knowledge discovery from hidden patterns
Test your knowledge on data warehousing and OLAP technology for data mining with questions covering topics such as data warehouse architecture, multi-dimensional data model, and data cube technology.
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