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