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