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