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