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