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