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