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