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The document consists of a series of multiple-choice questions related to data warehousing and OLAP systems. Key topics include the introduction of the Business Data Warehouse, the goals of data warehousing, components of data warehouses, and different OLAP models and operations. It also covers schema designs, ETL processes, and the distinctions between OLAP and OLTP systems.

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0% found this document useful (0 votes)
25 views5 pages

1

The document consists of a series of multiple-choice questions related to data warehousing and OLAP systems. Key topics include the introduction of the Business Data Warehouse, the goals of data warehousing, components of data warehouses, and different OLAP models and operations. It also covers schema designs, ETL processes, and the distinctions between OLAP and OLTP systems.

Uploaded by

paritriddhi
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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1. Who introduced the concept of “Business Data Warehouse”?

A) Bill Inmon
B) Barry Devlin and Paul Murphy
C) Ralph Kimball
D) E.F. Codd
Answer: B

2. The main goal of data warehousing is to:


A) Process transactions
B) Maintain historical information and support decision-making
C) Store raw operational data only
D) Replace operational databases
Answer: B

3. Which of the following is NOT a need for a data warehouse?


A) Store historical data
B) Make strategic decisions
C) Improve OLTP speed
D) Ensure data consistency
Answer: C

4. Which component of a data warehouse is responsible for preparing data before storage?
A) Source Data Component
B) Data Staging Component
C) Data Storage Component
D) Metadata Component
Answer: B

5. The process of correcting misspellings and removing duplicates is part of:


A) Data Extraction
B) Data Transformation
C) Data Loading
D) Data Querying
Answer: B

6. Initial loading of the data warehouse happens:


A) Daily
B) Weekly
C) Only once when going live
D) Every time a query is run
Answer: C

7. Which component stores “data about data” in a warehouse?


A) Metadata Component
B) Data Storage Component
C) Data Marts
D) Management Component
Answer: A

8. A subset of a corporate data warehouse designed for a specific group is called:


A) Data Cube
B) Data Mart
C) OLTP System
D) Metadata Repository
Answer: B

9. In the three-tier architecture, OLAP servers are part of the:


A) Top Tier
B) Middle Tier
C) Bottom Tier
D) External Tier
Answer: B

10. Which OLAP model works only with relational databases?


A) ROLAP
B) MOLAP
C) HOLAP
D) DOLAP
Answer: A

11. Which OLAP model is a combination of relational and multidimensional systems?


A) ROLAP
B) MOLAP
C) HOLAP
D) SOLAP
Answer: C

12. In a star schema, dimension tables are:


A) Normalized
B) Denormalized
C) Indexed only
D) Empty
Answer: B

13. Which schema allows sub-dimension tables connected to dimension tables?


A) Star
B) Snowflake
C) Galaxy
D) Hybrid
Answer: B
14. Which schema has multiple fact tables sharing dimensions?
A) Star
B) Snowflake
C) Galaxy (Fact Constellation)
D) Hybrid Schema
Answer: C

15. Which schema design generally requires more disk space due to redundancy?
A) Star Schema
B) Snowflake Schema
C) Galaxy Schema
D) Fact Table Schema
Answer: A

16. Which step in ETL includes combining data from multiple sources?
A) Extraction
B) Transformation
C) Loading
D) Archiving
Answer: B

17. Which is NOT a benefit of Snowflake Schema?


A) Less storage space
B) No data redundancy
C) Easy updates
D) Faster queries than star schema
Answer: D

18. The multi-dimensional data model organizes data as:


A) Linked lists
B) Data cubes
C) XML files
D) Entity-Relationship diagrams
Answer: B

19. The fact table in a star schema contains:


A) Descriptive attributes only
B) Numerical measures (facts) and foreign keys to dimensions
C) Metadata only
D) OLAP server logs
Answer: B

20. The OLAP operation that aggregates data by climbing up a hierarchy is:
A) Drill-down
B) Slice
C) Roll-up
D) Pivot
Answer: C

21. The OLAP operation that adds detail by going to lower levels in a hierarchy is:
A) Roll-up
B) Drill-down
C) Slice
D) Dice
Answer: B

22. The OLAP operation that selects one particular dimension value is:
A) Roll-up
B) Slice
C) Dice
D) Pivot
Answer: B

23. The OLAP operation that selects multiple dimensions is:


A) Dice
B) Slice
C) Roll-up
D) Drill-down
Answer: A

24. Pivot operation in OLAP is also known as:


A) Rotation
B) Filtering
C) Aggregation
D) Joining
Answer: A

25. Which of the following is TRUE about OLTP systems?


A) They store historical data
B) They handle day-to-day transactions
C) They are used mainly for analysis
D) They are based on multidimensional models
Answer: B

26. OLAP systems are mainly used by:


A) Clerks
B) Database Administrators
C) Managers and Analysts
D) Cashiers
Answer: C
27. Which OLAP type works entirely on multidimensional databases?
A) ROLAP
B) MOLAP
C) HOLAP
D) WOLAP
Answer: B

28. In OLAP vs OLTP, OLAP focuses on:


A) Data in
B) Information out
C) Transaction speed
D) Real-time updates
Answer: B

29. In the three-tier architecture, which tier contains ETL processes?


A) Top Tier
B) Middle Tier
C) Bottom Tier
D) Client Tier
Answer: C

30. Which concept defines mapping from low-level to high-level concepts in dimensions?
A) Data Cube
B) Concept Hierarchy
C) Metadata
D) Data Mart
Answer: B

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