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