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