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