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