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This set of Data Mining Multiple Choice Questions & Answers (MCQs) focuses on Data Mining Set 3

Q1 | ............................. is the process of finding a model that describes and distinguishes data classes or concepts.
  • data characterization
  • data classification
  • data discrimination
  • data selection
Q2 | iv) Handling uncertainty, noise, or incompleteness of data
  • i, ii and iv only
  • ii, iii and iv only
  • i, ii and iii only
  • all i, ii, iii and iv
Q3 | The full form of KDD is ..................
  • knowledge database
  • knowledge discovery database
  • knowledge data house
  • knowledge data definition
Q4 | The out put of KDD is .............
  • data
  • information
  • query
  • useful information
Q5 | . The full form of OLAP is
  • online analytical processing
  • online advanced processing
  • online advanced preparation
  • online analytical performance
Q6 | ......................... is a subject-oriented, integrated, time-variant, nonvolatile collection or data in support of management decisions.
  • data mining
  • data warehousing
  • document mining
  • text mining
Q7 | The data is stored, retrieved and updated in ....................
  • olap
  • oltp
  • smtp
  • ftp
Q8 | An .................. system is market-oriented and is used for data analysis by knowledge workers, including managers, executives, and analysts.
  • olap
  • oltp
  • both of the above
  • none of the above
Q9 | ........................ is a good alternative to the star schema.
  • star schema
  • snowflake schema
  • fact constellation
  • star-snowflake schema
Q10 | The ............................ exposes the information being captured, stored, and managed by operational systems.
  • top-down view
  • data warehouse view
  • data source view
  • business query view
Q11 | The type of relationship in star schema is ...............
  • many to many
  • one to one
  • one to many
  • many to one
Q12 | The .................. allows the selection of the relevant information necessary for the data warehouse.
  • top-down view
  • data warehouse view
  • data source view
  • business query view
Q13 | Which of the following is not a component of a data warehouse?
  • metadata
  • current detail data
  • lightly summarized data
  • component key
Q14 | Which of the following is not a kind of data warehouse application?
  • information processing
  • analytical processing
  • data mining
  • transaction processing
Q15 | Data warehouse architecture is based on .......................
  • dbms
  • rdbms
  • sybase
  • sql server
Q16 | .......................... supports basic OLAP operations, including slice and dice, drill-down, roll-up and pivoting.
  • information processing
  • analytical processing
  • data mining
  • transaction processing
Q17 | The core of the multidimensional model is the ....................... , which consists of a large set of facts and a number of dimensions.
  • multidimensional cube
  • dimensions cube
  • data cube
  • data model
Q18 | The data from the operational environment enter ........................ of data warehouse.
  • current detail data
  • older detail data
  • lightly summarized data
  • highly summarized data
Q19 | A data warehouse is ......................
  • updated by end users.
  • contains numerous naming conventions and formats
  • organized around important subject areas
  • contain only current data
Q20 | Business Intelligence and data warehousing is used for ..............
  • forecasting
  • data mining
  • analysis of large volumes of product sales data
  • all of the above
Q21 | Data warehouse contains ................ data that is never found in the operational environment.
  • normalized
  • informational
  • summary
  • denormalized
Q22 | ................... are responsible for running queries and reports against data warehouse tables.
  • hardware
  • software
  • end users
  • middle ware
Q23 | The biggest drawback of the level indicator in the classic star schema is that is limits ............
  • flexibility
  • quantify
  • qualify
  • ability
Q24 | ............................. are designed to overcome any limitations placed on the warehouse by the nature of the relational data model.
  • operational database
  • relational database
  • multidimensional database
  • data repository