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