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