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