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