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