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