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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 simplified form of a data warehouse supporting the work of a single line of business
Data mart
Fact table
Data mart design
Design
2. Fifth stage of building a data mart
Population
OLAP
Maintenance
Master data
3. simplest and least costly architecture developed to operate independently of each other - poor solution
Define the grain
Parallel processing and/or partitioning
Independent data marts
Source system
4. Extract - Transform and Load
Choose the dimensions
ETL
Maintenance
OLAP
5. A table containing foreign keys and values
Transaction
Ad hoc query
Translation table
Fact table
6. A single low-level fact representing a single business operation
Transaction
Data mart design
Ad hoc query
Snowflake schema
7. Second stage of the data warehouse data architecture design process
Define the grain
Conformed dimensions
Snapshot
Parallel partitioning
8. A synonym for Business Intelligence
Fact grain
Current rolling snapshot
Partioning
Decision Support
9. Draws data from a data warehouse
Dependent data mart
OLAP
Conformed dimensions
Fact grain
10. Used to support day-to-day operations
Fact table
Current rolling snapshot
Operational BI
Back end
11. The level of detail required for a fact to be useful
Fact grain
Business Intelligence
Master Data Management
Define the grain
12. Data about the data
Dimensional modelling
Metadata
Current rolling snapshot
Define the grain
13. These extend BI into automating and optimising processes
Analytical applications
Dimension table
Maintenance
Dependent data mart
14. An alternative term for a data warehouse
Dimensional modelling
Define the users
Enterprise Information Management
Accessing
15. A report created by an IT department user
Front end
Production report
Conformed dimensions
Construction
16. A daily snapshot for each day of a set period
Operational BI
Current rolling snapshot
Family
Snowflake schema
17. An operational system that provides data for a business information system
Family
Source system
Population
Accessing
18. Splitting data tables into smaller tables for efficient access.
Metadata
Population
Business query tool
Partioning
19. Take data from a source system
Extract
Accessing
Production report
Construction
20. A schema where dimensions may be connected to facts or to other dimensions
Data mart design
Snowflake schema
Constellation
Decision Support
21. Look-up tables referred to by fact tables
Hub and spoke Architecture
Dimension table
Data mart design
Dependent data mart
22. A database table that maps (e.g.) manufacturing product IDs to sales product IDs
Parallel partitioning
Translation table
Define the users
Star schema
23. Fourth stage of building a data mart
Accessing
Business Intelligence
Snapshot
OLAP
24. Business applications - methods and tools that support the caputre and use of master data
Master Data Management
Independent data mart
Define the users
Master data
25. Extract - Load and Transform
Parallel processing and/or partitioning
Construction
Dependent data mart
ELT
26. 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
Independent data marts
Accessing
Hub and spoke Architecture
27. Requesting information about related facts
Drilling across
Partioning
OLAP
Production report
28. A summary record for a specific reporting period
Drilling down
Construction
Snapshot
Choose the facts
29. A query created by a BI user
Load
Aggregate tables
Define the users
Ad hoc query
30. Make changes to data so that it is compatible with a new database
Design
Independent data mart
Business Intelligence
Transform
31. First stage of the data warehouse data architecture design process
Define the users
Master Data Management
Production report
Design
32. Tables containing summary records calculated from the main fact tables
Independent data mart
Aggregate tables
Dimensional modelling
Source system
33. Data accessible to the whole data warehouse
OLAP
Transform
Master data
ETL
34. Draws data from operational or external systems
Fact grain
Population
Independent data mart
Master data
35. Import data into a new database
Drilling across
Business query tool
Fact grain
Load
36. A schema where dimensions are only connected to facts
Family
Master data
Star schema
Snowflake schema
37. Unlike independent data marts the marts are linked via middleware
Population
Parallel partitioning
Enterprise Information Management
Data mart bus architecture
38. Second stage of building a data mart
Family
Define the grain
Maintenance
Construction
39. Third stage of building a data mart
Fact table
Population
Conformed dimensions
ELT
40. Online Analytical Processing
Choose the dimensions
Snapshot
Dimension table
OLAP
41. Dimensions which are shared by two or more facts
Independent data mart
Conformed dimensions
Drilling down
Aggregate tables
42. Fourth stage of the data warehouse data architecture design process
ELT
Data mart
Choose the facts
Decision Support
43. The business applications
Operational system
Front end
Data mart
Choose the dimensions
44. The operational systems - data warehouse and data marts
Business Intelligence
Back end
Analytical applications
Transform
45. 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
Business Intelligence
Operational system
Hub and spoke Architecture
46. 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)
Star schema
Extract
Construction
Data mart design
47. Third stage of the data warehouse data architecture design process
Transaction
Independent data marts
Choose the dimensions
Dashboard
48. A visual display of the most important information needed by a particular user
Hub and spoke Architecture
Dimension table
Translation table
Dashboard
49. A computer system used to support the day-to-day operations of an organisation
Translation table
Conformed dimensions
Operational system
Choose the facts
50. A system that allows people to access and analyse data for business management and performance improvement
ELT
Choose the facts
ETL
Business Intelligence