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