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