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