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