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