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