Data Warehousing and OLAP Technology Quiz

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What is the main difference between OLTP and OLAP systems in terms of database design?

OLTP systems use historical and summarized data while OLAP systems use current and detailed data

OLTP systems have larger database sizes compared to OLAP systems

OLTP systems are designed for complex queries while OLAP systems are designed for simple transactions

OLTP systems are application-oriented while OLAP systems are subject-oriented (correct)

Which of the following is a key characteristic of OLAP systems?

Isolated, repetitive access patterns

Integrated, consolidated historical data (correct)

Detailed, flat relational data

High transaction throughput

Why is it important to separate the data warehouse from the OLTP system?

To improve the performance of both systems (correct)

To reduce the database size of the OLTP system

To allow for more complex queries in the OLTP system

To enable more efficient concurrency control in the OLAP system

What is the primary function of OLTP systems?

Day-to-day operations Signup and view all the answers

Which of the following is a characteristic of OLAP systems?

Integrated, consolidated historical data Signup and view all the answers

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 Signup and view all the answers

What is a data warehouse?

A decision support database separate from the operational database Signup and view all the answers

Which term describes the characteristic of a data warehouse that provides historical data for analysis?

Time-variant Signup and view all the answers

What is one of the primary purposes of a data warehouse?

Supporting management's decision-making process Signup and view all the answers

Which of the following is an example of a data warehousing tool?

Google BigQuery Signup and view all the answers

In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:

Subject-oriented Signup and view all the answers

What distinguishes a data warehouse from an operational database?

Operational databases are not used for decision support. Signup and view all the answers

Which of the following is NOT a type of OLAP server architecture?

Transactional OLAP (TOLAP) Signup and view all the answers

What is the purpose of a virtual warehouse?

To provide a set of views over operational databases without physically storing the data Signup and view all the answers

Which of the following is a recommended step in data warehouse development?

All of the above Signup and view all the answers

What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?

ROLAP provides greater scalability Signup and view all the answers

What is the purpose of a data mart?

To store a subset of the data from a central data warehouse Signup and view all the answers

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 Signup and view all the answers

What is the goal of discovery-driven exploration of data cubes?

To guide users through data analysis based on exceptions Signup and view all the answers

What is the purpose of using visual cues in data cube analysis?

To indicate exceptions and their degree in the data Signup and view all the answers

What do Exception indicators in data cubes signify?

Values significantly different from expected based on a model Signup and view all the answers

How does discovery-driven exploration differ from hypothesis-driven exploration?

It guides users based on exceptions found in the data Signup and view all the answers

What is the primary focus of multi-feature cubes?

Complex queries involving multiple dependent aggregates at multiple granularities Signup and view all the answers

How are SelfExp, InExp, and PathExp values computed in data mining?

They are automatically calculated during cube construction Signup and view all the answers

What kind of applications can a data warehouse support?

Multidimensional analysis, basic statistical analysis, visualization tools Signup and view all the answers

What does OLAP stand for in the context of data warehouses?

Online Analytical Processing Signup and view all the answers

Which technology plays a role in transitioning from data warehousing to data mining?

Data cube technology Signup and view all the answers

What kind of analysis is supported by data mining?

Construction of analytical models Signup and view all the answers

Which of the following is NOT part of a data warehouse architecture?

Data cleaning Signup and view all the answers

What is the main purpose of multidimensional analysis in data warehousing?

To support knowledge discovery from hidden patterns Signup and view all the answers

Data Warehousing and OLAP Technology Quiz

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Questions and Answers

What is the main difference between OLTP and OLAP systems in terms of database design?

Which of the following is a key characteristic of OLAP systems?

Why is it important to separate the data warehouse from the OLTP system?

What is the primary function of OLTP systems?

Which of the following is a characteristic of OLAP systems?

What is the main difference between OLTP and OLAP systems in terms of database size?

What is a data warehouse?

Which term describes the characteristic of a data warehouse that provides historical data for analysis?

What is one of the primary purposes of a data warehouse?

Which of the following is an example of a data warehousing tool?

In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:

What distinguishes a data warehouse from an operational database?

Which of the following is NOT a type of OLAP server architecture?

What is the purpose of a virtual warehouse?

Which of the following is a recommended step in data warehouse development?

What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?

What is the purpose of a data mart?

What is the difference between a data warehouse and a virtual warehouse?

What is the goal of discovery-driven exploration of data cubes?

What is the purpose of using visual cues in data cube analysis?

What do Exception indicators in data cubes signify?

How does discovery-driven exploration differ from hypothesis-driven exploration?

What is the primary focus of multi-feature cubes?

How are SelfExp, InExp, and PathExp values computed in data mining?

What kind of applications can a data warehouse support?

What does OLAP stand for in the context of data warehouses?

Which technology plays a role in transitioning from data warehousing to data mining?

What kind of analysis is supported by data mining?

Which of the following is NOT part of a data warehouse architecture?

What is the main purpose of multidimensional analysis in data warehousing?

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