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