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