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