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