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