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