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