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