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