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