Data Mining & Data Ware House Questions and Answers

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Data Mining & Data Warehouse Questions with Answers are vital for understanding large-scale data analysis and storage techniques in database management systems (DBMS). Featured often in programming questions and answers for competitive exams, this topic covers key concepts like OLAP, ETL processes, and data modeling. Companies like Infosys, CTS, and IBM frequently test candidates on these concepts during placements. Practicing these MCQs with explanations helps students enhance their analytical and SQL-based problem-solving skills. Download free Data Mining & Data Warehouse aptitude questions with solutions PDF or take our online tests for quick practice.

Data Mining & Data Ware House

Showing 10 of 96 questions

71. Prediction is

  • The result of the application of a theory or a rule in a specific case
  • One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
  • Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
  • None of these
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72. Primary key is

  • The result of the application of a theory or a rule in a specific case
  • One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
  • Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
  • None of these
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73. Noise is

  • A component fo a network
  • In the context of KDD and data mining. this refers to random errors in a database table.
  • One of the defining aspects of a data warehouse
  • None of these
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74. Quadratic complexity is

  • A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
  • Attributes of a database table that can take only numerical values.
  • Tools designed to query a database.
  • None of these
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75. Query tools are

  • A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
  • Attributes of a database table that can take only numberical values
  • Tools designed to query a database.
  • None of these
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76. Prolog is

  • A programming language based on logic
  • A computer where each processor has its own operating system, its own memory, and its own hard disk.
  • Describes the structure of the contents of a database.
  • None of these
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77. Massively parallel machine is

  • A programming language based on logic
  • A computer where each processor has its own operating system, its own memory, and its own hard disk.
  • Describes the structure of the contents of a database
  • None of these
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78. Operational database is

  • A measure of the desired maximal complexity of data mining algorithms
  • A database containing volatile data used for the daily operation of an organzation
  • Relational database management system
  • None of these
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79. Operational database is

  • A measure of the desired maximal complxeity of data mining alorithms
  • A database containing volatile data used for the daily operation of an organization
  • Relational database management system
  • None of these
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80. Oracle is referred to

  • A measure of the desired maximal complexity of data mining algorithms
  • A database containing volatile data used for the daily operation of an organization
  • Relational datbase management system
  • None of these
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