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