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