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