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