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