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