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