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