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