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