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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. A daily snapshot for each day of a set period
Current rolling snapshot
Dimensional modelling
Constellation
Design
2. A table containing foreign keys and values
Choose the facts
Fact table
Metadata
Accessing
3. An operational system that provides data for a business information system
Master Data Management
Source system
OLAP
Fact grain
4. A group of related fact tables
Data mart
OLAP
Family
Choose the dimensions
5. A summary record for a specific reporting period
Snapshot
Transform
Data mart
Parallel processing and/or partitioning
6. A report created by an IT department user
Production report
Dimension table
ELT
Analytical applications
7. Data about the data
Constellation
Fact grain
Design
Metadata
8. Draws data from a data warehouse
Snapshot
Dependent data mart
Decision Support
Transform
9. A system that allows people to access and analyse data for business management and performance improvement
Dimension table
Load
Parallel partitioning
Business Intelligence
10. Extract - Transform and Load
Dimensional modelling
ETL
Current rolling snapshot
Data mart design
11. Import data into a new database
Load
Dashboard
Design
Dependent data mart
12. The level of detail required for a fact to be useful
Fact grain
Family
Construction
Source system
13. A single low-level fact representing a single business operation
Business Intelligence
Transaction
Source system
Partioning
14. First stage of building a data mart
Master data
Choose the dimensions
Design
Source system
15. Data accessible to the whole data warehouse
Design
Data mart
Fact grain
Master data
16. simplest and least costly architecture developed to operate independently of each other - poor solution
Extract
Production report
Independent data marts
Front end
17. A synonym for Business Intelligence
Operational system
Parallel partitioning
Data mart
Decision Support
18. Make changes to data so that it is compatible with a new database
Star schema
Source system
Operational BI
Transform
19. Requesting more information about a particular fact
Ad hoc query
Front end
Drilling down
Independent data mart
20. Look-up tables referred to by fact tables
Operational BI
Ad hoc query
Data mart bus architecture
Dimension table
21. Fourth stage of the data warehouse data architecture design process
Data mart
Enterprise Information Management
Choose the facts
Master data
22. These extend BI into automating and optimising processes
Analytical applications
Hub and spoke Architecture
Source system
Fact grain
23. A schema where dimensions may be connected to facts or to other dimensions
Hub and spoke Architecture
Snowflake schema
Analytical applications
Independent data marts
24. A computer system used to support the day-to-day operations of an organisation
Hub and spoke Architecture
Population
Conformed dimensions
Operational system
25. Dimensions which are shared by two or more facts
Conformed dimensions
Drilling down
Construction
Operational system
26. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
ELT
Define the users
Choose the facts
Translation table
27. Tables containing summary records calculated from the main fact tables
Back end
Snowflake schema
Aggregate tables
Source system
28. Second stage of building a data mart
Aggregate tables
ELT
Construction
Define the users
29. Requesting information about related facts
Ad hoc query
Master data
OLAP
Drilling across
30. Fourth stage of building a data mart
Master Data Management
Accessing
ELT
Star schema
31. Unlike independent data marts the marts are linked via middleware
Independent data marts
Choose the facts
Snapshot
Data mart bus architecture
32. Third stage of building a data mart
Construction
Transform
Population
Parallel partitioning
33. An alternative term for a data warehouse
Parallel processing and/or partitioning
Independent data mart
Constellation
Enterprise Information Management
34. A tool that allows users to write queries without having to learn SQL
Independent data marts
Choose the dimensions
Business query tool
Construction
35. 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)
Data mart design
Extract
Dimension table
Define the grain
36. A visual display of the most important information needed by a particular user
Dashboard
Analytical applications
Business Intelligence
ETL
37. A simplified form of a data warehouse supporting the work of a single line of business
Fact grain
Aggregate tables
Data mart
Dimension table
38. Second stage of the data warehouse data architecture design process
Maintenance
Fact grain
Define the grain
Source system
39. A schema where dimensions are only connected to facts
Star schema
Front end
Dashboard
Family
40. A group of conformed dimensions
Choose the facts
Constellation
Parallel processing and/or partitioning
Partioning
41. A query created by a BI user
Operational system
Ad hoc query
Transaction
OLAP
42. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Decision Support
Define the users
Data mart design
Parallel partitioning
43. Extract - Load and Transform
Dimension table
Conformed dimensions
ELT
Data mart design
44. Take data from a source system
Extract
Front end
Dimensional modelling
Decision Support
45. The operational systems - data warehouse and data marts
Back end
Enterprise Information Management
Master data
Drilling down
46. First stage of the data warehouse data architecture design process
Define the users
Aggregate tables
Snapshot
Population
47. The business applications
Choose the facts
Partioning
Front end
Enterprise Information Management
48. Most famous data warehouse where a maintable infastructure includes a centralized data warehouse that serves for the needs of all organizational units (most favored 39 percent)
Translation table
Hub and spoke Architecture
ETL
Enterprise Information Management
49. Third stage of the data warehouse data architecture design process
Choose the dimensions
Decision Support
Parallel processing and/or partitioning
Production report
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
Metadata
Decision Support
Parallel processing and/or partitioning
Data mart bus architecture