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