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. Draws data from a data warehouse
Partioning
Design
Dependent data mart
Enterprise Information Management
2. Draws data from operational or external systems
ELT
Production report
Independent data mart
Accessing
3. First stage of building a data mart
Translation table
Dimension table
Design
Data mart bus architecture
4. A report created by an IT department user
Operational system
Parallel partitioning
Master Data Management
Production report
5. Second stage of building a data mart
Drilling down
Snapshot
Construction
Choose the facts
6. A query created by a BI user
Dimension table
Drilling down
ETL
Ad hoc query
7. The business applications
Front end
Snapshot
Metadata
Parallel partitioning
8. An operational system that provides data for a business information system
Design
Transform
Drilling down
Source system
9. Third stage of building a data mart
Drilling across
Accessing
ELT
Population
10. Data about the data
Metadata
Star schema
Translation table
Extract
11. Fifth stage of building a data mart
Drilling down
Analytical applications
Maintenance
Back end
12. simplest and least costly architecture developed to operate independently of each other - poor solution
Hub and spoke Architecture
Independent data marts
Accessing
Operational BI
13. A logical design technique that presents data in a way that is optimised for high-performance access
Dimensional modelling
Master data
Current rolling snapshot
Source system
14. A system that allows people to access and analyse data for business management and performance improvement
Operational system
ELT
Transform
Business Intelligence
15. A schema where dimensions are only connected to facts
Dimensional modelling
Dimension table
Star schema
Maintenance
16. A summary record for a specific reporting period
Snapshot
Data mart
OLAP
ELT
17. First stage of the data warehouse data architecture design process
Construction
Master data
Define the users
Partioning
18. A computer system used to support the day-to-day operations of an organisation
Fact table
Drilling down
Operational system
Parallel partitioning
19. Fourth stage of building a data mart
Accessing
Metadata
Dependent data mart
Conformed dimensions
20. An alternative term for a data warehouse
Dependent data mart
Enterprise Information Management
Analytical applications
Front end
21. Requesting more information about a particular fact
Accessing
Choose the facts
Drilling down
Front end
22. Import data into a new database
Dashboard
Family
Partioning
Load
23. A table containing foreign keys and values
Dimensional modelling
Business query tool
Fact table
Constellation
24. A simplified form of a data warehouse supporting the work of a single line of business
Extract
Translation table
Independent data marts
Data mart
25. A single low-level fact representing a single business operation
Define the grain
Transaction
Star schema
Enterprise Information Management
26. Take data from a source system
Ad hoc query
Transaction
Decision Support
Extract
27. The level of detail required for a fact to be useful
Choose the facts
Choose the dimensions
Fact grain
ETL
28. A group of related fact tables
Choose the dimensions
Master data
Aggregate tables
Family
29. Extract - Load and Transform
Production report
Business Intelligence
Fact grain
ELT
30. Extract - Transform and Load
ETL
Family
Choose the facts
Load
31. Make changes to data so that it is compatible with a new database
Dimensional modelling
Transaction
Design
Transform
32. A daily snapshot for each day of a set period
Current rolling snapshot
Parallel partitioning
Decision Support
Transaction
33. These extend BI into automating and optimising processes
Data mart design
Analytical applications
ELT
Family
34. Business applications - methods and tools that support the caputre and use of master data
Extract
Drilling down
Master Data Management
Partioning
35. Unlike independent data marts the marts are linked via middleware
Fact grain
Data mart bus architecture
Snowflake schema
Data mart
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)
Fact grain
Data mart design
Conformed dimensions
Drilling across
37. Look-up tables referred to by fact tables
Extract
Dimension table
Load
Dimensional modelling
38. 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
Business query tool
Parallel processing and/or partitioning
Front end
Master Data Management
39. A synonym for Business Intelligence
Decision Support
Analytical applications
Translation table
Transaction
40. Tables containing summary records calculated from the main fact tables
Dashboard
Production report
Aggregate tables
Dimensional modelling
41. Splitting data tables into smaller tables for efficient access.
Dependent data mart
Partioning
Conformed dimensions
Translation table
42. Data accessible to the whole data warehouse
Master data
Accessing
Analytical applications
Back end
43. Third stage of the data warehouse data architecture design process
Parallel partitioning
Choose the dimensions
Aggregate tables
Data mart
44. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Enterprise Information Management
Drilling across
Dependent data mart
Translation table
45. The operational systems - data warehouse and data marts
Operational system
Back end
Snowflake schema
Front end
46. Requesting information about related facts
Maintenance
Master data
Drilling across
Extract
47. Online Analytical Processing
Partioning
OLAP
Independent data marts
ETL
48. 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
Dependent data mart
Star schema
ELT
49. A schema where dimensions may be connected to facts or to other dimensions
Snowflake schema
ETL
Independent data mart
Current rolling snapshot
50. Second stage of the data warehouse data architecture design process
Aggregate tables
Define the grain
Parallel processing and/or partitioning
Data mart