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Test your basic knowledge |
Data Warehousing
Subject
:
it-skills
Instructions:
Answer
50
questions in
20 minutes
.
2 minutes extra for reading the instructions.
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. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.
Constellation
Dimensional modelling
Parallel partitioning
Construction
2. A computer system used to support the day-to-day operations of an organisation
Extract
Master Data Management
Operational system
ETL
3. A report created by an IT department user
Production report
Business query tool
Hub and spoke Architecture
Master data
4. Tables containing summary records calculated from the main fact tables
OLAP
Choose the facts
Transaction
Aggregate tables
5. Third stage of building a data mart
Enterprise Information Management
Drilling across
Fact table
Population
6. A schema where dimensions are only connected to facts
Production report
Aggregate tables
Business query tool
Star schema
7. Requesting information about related facts
Front end
Dimension table
Drilling across
OLAP
8. A synonym for Business Intelligence
Transaction
Master data
Decision Support
Parallel processing and/or partitioning
9. A query created by a BI user
ELT
Ad hoc query
Independent data mart
Production report
10. First stage of the data warehouse data architecture design process
Independent data marts
Dependent data mart
Analytical applications
Define the users
11. 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
ETL
12. A simplified form of a data warehouse supporting the work of a single line of business
ETL
Independent data mart
Data mart
Drilling across
13. Used to support day-to-day operations
Dimension table
Accessing
Ad hoc query
Operational BI
14. A daily snapshot for each day of a set period
Current rolling snapshot
Business Intelligence
Parallel partitioning
Master Data Management
15. Data about the data
Star schema
Decision Support
Metadata
Parallel partitioning
16. The business applications
Back end
Business query tool
Dependent data mart
Front end
17. A table containing foreign keys and values
Fact table
OLAP
Independent data mart
Accessing
18. An operational system that provides data for a business information system
Source system
Enterprise Information Management
Construction
Dashboard
19. A group of conformed dimensions
Family
Constellation
Partioning
Conformed dimensions
20. Data accessible to the whole data warehouse
Front end
Parallel processing and/or partitioning
Master data
Hub and spoke Architecture
21. Draws data from operational or external systems
Decision Support
Define the users
Choose the dimensions
Independent data mart
22. Unlike independent data marts the marts are linked via middleware
Data mart bus architecture
Master data
Aggregate tables
Define the users
23. Extract - Transform and Load
Conformed dimensions
Independent data mart
ETL
Independent data marts
24. The operational systems - data warehouse and data marts
Data mart
Back end
Drilling down
Maintenance
25. Splitting data tables into smaller tables for efficient access.
Accessing
Current rolling snapshot
Partioning
Snowflake schema
26. Look-up tables referred to by fact tables
Enterprise Information Management
Master data
Dimension table
Independent data marts
27. Draws data from a data warehouse
ETL
Data mart bus architecture
Dependent data mart
Star schema
28. Fourth stage of building a data mart
ELT
Current rolling snapshot
Accessing
Dimensional modelling
29. An alternative term for a data warehouse
Parallel partitioning
Enterprise Information Management
Star schema
Choose the facts
30. Third stage of the data warehouse data architecture design process
Enterprise Information Management
Design
Business query tool
Choose the dimensions
31. Import data into a new database
Load
Snapshot
Dashboard
Transaction
32. A visual display of the most important information needed by a particular user
Ad hoc query
Dashboard
Define the users
Partioning
33. A system that allows people to access and analyse data for business management and performance improvement
ETL
Data mart design
Current rolling snapshot
Business Intelligence
34. First stage of building a data mart
Hub and spoke Architecture
Independent data mart
Design
Metadata
35. A schema where dimensions may be connected to facts or to other dimensions
Choose the dimensions
Extract
Production report
Snowflake schema
36. Second stage of the data warehouse data architecture design process
Aggregate tables
Define the grain
Choose the facts
Enterprise Information Management
37. simplest and least costly architecture developed to operate independently of each other - poor solution
Translation table
Parallel partitioning
Independent data marts
Choose the dimensions
38. Fourth stage of the data warehouse data architecture design process
Hub and spoke Architecture
Conformed dimensions
Choose the facts
Parallel partitioning
39. Make changes to data so that it is compatible with a new database
Transform
Data mart
Decision Support
Enterprise Information Management
40. A summary record for a specific reporting period
Operational system
Business query tool
Front end
Snapshot
41. Extract - Load and Transform
Partioning
Operational system
Design
ELT
42. Fifth stage of building a data mart
Snowflake schema
Fact table
Drilling across
Maintenance
43. Online Analytical Processing
Transform
OLAP
Constellation
Master Data Management
44. These extend BI into automating and optimising processes
Snowflake schema
OLAP
Operational BI
Analytical applications
45. A single low-level fact representing a single business operation
Snapshot
Snowflake schema
Transaction
Transform
46. Dimensions which are shared by two or more facts
Metadata
Conformed dimensions
Population
Choose the facts
47. Second stage of building a data mart
Construction
Transform
ELT
Constellation
48. The level of detail required for a fact to be useful
Dimension table
Master data
Business query tool
Fact grain
49. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Construction
Data mart design
Translation table
Choose the dimensions
50. 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)
Maintenance
Star schema
Hub and spoke Architecture
Snapshot