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