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