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