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