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