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Test your basic knowledge |
Data Warehousing
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Data accessible to the whole data warehouse
Parallel partitioning
Aggregate tables
Master data
ELT
2. The level of detail required for a fact to be useful
Maintenance
ELT
Fact grain
Fact table
3. Extract - Transform and Load
Independent data marts
ETL
Decision Support
Snowflake schema
4. Requesting more information about a particular fact
Independent data marts
Drilling down
Metadata
Family
5. Dimensions which are shared by two or more facts
Analytical applications
Conformed dimensions
Define the users
Design
6. A logical design technique that presents data in a way that is optimised for high-performance access
Extract
Dimensional modelling
Data mart design
Current rolling snapshot
7. Extract - Load and Transform
Dimensional modelling
Load
Extract
ELT
8. Requesting information about related facts
Construction
Data mart
Population
Drilling across
9. These extend BI into automating and optimising processes
Analytical applications
OLAP
ELT
Translation table
10. All database architectural fall into one of these two categories: EDW or _________ (independent data marts - data mart bus architecture - hub and spoke architecture - centralized data warehouse - federated data warehouse)
Drilling across
Master data
Data mart design
OLAP
11. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Master data
ELT
Independent data mart
Translation table
12. Import data into a new database
Back end
Master data
Star schema
Load
13. Tables containing summary records calculated from the main fact tables
Choose the dimensions
Maintenance
Data mart
Aggregate tables
14. Make changes to data so that it is compatible with a new database
Dimensional modelling
Drilling across
Transform
Independent data marts
15. Data about the data
Metadata
Accessing
Production report
Extract
16. A report created by an IT department user
Back end
Fact grain
Current rolling snapshot
Production report
17. A synonym for Business Intelligence
Decision Support
Family
Maintenance
Metadata
18. Fourth stage of the data warehouse data architecture design process
Population
Independent data marts
Choose the facts
Data mart
19. simplest and least costly architecture developed to operate independently of each other - poor solution
Independent data marts
Define the users
Parallel partitioning
Dimensional modelling
20. A daily snapshot for each day of a set period
Operational BI
Production report
Current rolling snapshot
Define the users
21. Fourth stage of building a data mart
Load
Accessing
Dependent data mart
Back end
22. Second stage of the data warehouse data architecture design process
Independent data mart
Define the grain
Extract
Dashboard
23. Take data from a source system
Front end
Extract
ETL
Business Intelligence
24. A tool that allows users to write queries without having to learn SQL
Snapshot
Partioning
Business query tool
Snowflake schema
25. Second stage of building a data mart
Data mart
Data mart bus architecture
Define the users
Construction
26. Fifth stage of building a data mart
Maintenance
Accessing
Source system
Dimensional modelling
27. An alternative term for a data warehouse
Data mart
Conformed dimensions
Design
Enterprise Information Management
28. A system that allows people to access and analyse data for business management and performance improvement
Business Intelligence
Front end
Independent data marts
Independent data mart
29. A schema where dimensions may be connected to facts or to other dimensions
Current rolling snapshot
Snowflake schema
Front end
Maintenance
30. Draws data from a data warehouse
Dependent data mart
Business Intelligence
Master Data Management
Population
31. A summary record for a specific reporting period
Choose the facts
Snapshot
Family
Extract
32. Look-up tables referred to by fact tables
Define the grain
Business Intelligence
Dimension table
Maintenance
33. A table containing foreign keys and values
Translation table
Business Intelligence
Fact table
Enterprise Information Management
34. Online Analytical Processing
Star schema
ETL
Ad hoc query
OLAP
35. A group of conformed dimensions
Define the users
Constellation
Fact grain
Enterprise Information Management
36. A group of related fact tables
Choose the dimensions
Parallel processing and/or partitioning
Family
Choose the facts
37. Unlike independent data marts the marts are linked via middleware
Data mart bus architecture
Data mart
Metadata
Drilling across
38. Draws data from operational or external systems
Transaction
Define the users
Independent data mart
Current rolling snapshot
39. First stage of building a data mart
Production report
Snowflake schema
Business query tool
Design
40. Third stage of building a data mart
Choose the dimensions
OLAP
Population
Aggregate tables
41. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Parallel partitioning
Dimensional modelling
ELT
Data mart
42. First stage of the data warehouse data architecture design process
Choose the dimensions
Parallel partitioning
Dimension table
Define the users
43. The business applications
Master data
Front end
Data mart design
Fact grain
44. A visual display of the most important information needed by a particular user
Dashboard
Load
Dimension table
Define the grain
45. A simplified form of a data warehouse supporting the work of a single line of business
Choose the dimensions
Transform
Data mart
OLAP
46. Splitting data tables into smaller tables for efficient access.
Back end
Transaction
Independent data mart
Partioning
47. A query created by a BI user
Dimension table
ETL
Ad hoc query
Business Intelligence
48. Used to support day-to-day operations
Data mart design
Source system
Decision Support
Operational BI
49. A computer system used to support the day-to-day operations of an organisation
Operational system
Choose the facts
Family
Snapshot
50. Issues to consider when deciding EDW architecture: 1. Which database management system (DBMS) should be used? (ex: Crash Data" MS SQL) 2. Will ______________________ be used? 3. Will data migration tools be used to load the data warehouse?4. What too
Back end
ETL
Decision Support
Parallel processing and/or partitioning
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