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