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