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