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