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