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