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