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