Data Mining And Warehouse Set 3
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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 3
Q1 | Effect of one attribute value on a given class is independent of values of other attribute is called_________.
- value independence.
- class conditional independence.
- conditional independence.
- unconditional independence.
Q2 | The main organizational justification for implementing a data warehouse is to provide ______.
- cheaper ways of handling transportation.
- decision support.
- storing large volume of data.
- access to data.
Q3 | Multidimensional database is otherwise known as____________.
- rdbms
- dbms
- extended rdbms
- extended dbms
Q4 | Data warehouse architecture is based on ______________.
- dbms.
- rdbms.
- sybase.
- sql server.
Q5 | Source data from the warehouse comes from _______________.
- ods.
- tds.
- mddb.
- ordbms.
Q6 | ________________ is a data transformation process.
- comparison.
- projection.
- selection.
- filtering.
Q7 | The technology area associated with CRM is _______________.
- specialization.
- generalization.
- personalization.
- summarization.
Q8 | SMP stands for _______________.
- symmetric multiprocessor.
- symmetric multiprogramming.
- symmetric metaprogramming.
- symmetric microprogramming.
Q9 | __________ are designed to overcome any limitations placed on the warehouse by the nature of therelational data model.
- operational database.
- relational database.
- multidimensional database.
- data repository.
Q10 | MDDB stands for ___________.
- multiple data doubling.
- multidimensional databases.
- multiple double dimension.
- multi-dimension doubling.
Q11 | ______________ is data about data.
- metadata.
- microdata.
- minidata.
- multidata.
Q12 | ___________ is an important functional component of the metadata.
- digital directory.
- repository.
- information directory.
- data dictionary.
Q13 | EIS stands for ______________.
- extended interface system.
- executive interface system.
- executive information system.
- extendable information system.
Q14 | ___________ is data collected from natural systems.
- mri scan.
- ods data.
- statistical data.
- historical data.
Q15 | _______________ is an example of application development environments.
- visual basic.
- oracle.
- sybase.
- sql server.
Q16 | The term that is not associated with data cleaning process is ______.
- domain consistency.
- deduplication.
- disambiguation.
- segmentation.
Q17 | ____________ are some popular OLAP tools.
- metacube, informix.
- oracle express, essbase.
- holap.
- molap.
Q18 | Capability of data mining is to build ___________ models.
- retrospective.
- interrogative.
- predictive.
- imperative.
Q19 | _____________ is a process of determining the preference of customer's majority.
- association.
- preferencing.
- segmentation.
- classification.
Q20 | Strategic value of data mining is ______________.
- cost-sensitive.
- work-sensitive.
- time-sensitive.
- technical-sensitive.
Q21 | ____________ proposed the approach for data integration issues.
- ralph campbell.
- ralph kimball.
- john raphlin.
- james gosling.
Q22 | The terms equality and roll up are associated with ____________.
- olap.
- visualization.
- data mart.
- decision tree.
Q23 | Exceptional reporting in data warehousing is otherwise called as __________.
- exception.
- alerts.
- errors.
- bugs.
Q24 | ____________ is a metadata repository.
- prism solution directory manager.
- corba.
- stunt.
- cobweb.
Q25 | ________________ is an expensive process in building an expert system.
- analysis.
- study.
- design.
- information collection.