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