Data Mining & Data Ware House Questions and Answers
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
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96 questions
21. Classification task referred to
- A subdivision of a set of examples into a number of classes
- A measure of the accuracy, of the classification of a concept that is given by a certain theory
- The task of assigning a classification to a set of examples
- None of these
22. Database is
- Large collection of data mostly stored in a computer system
- The removal of noise errors and incorrect input from al database
- The systematic description of the syntactic structure of a specific database. . it describes the structure of the attributes the tables and foreign key relationships.
- None of these
23. Data cleaning is
- Large collection of data mostly stored in a computer system
- The removal of noise errors and incorrect input from a database
- The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships.
- None of these
24. Data dictionary is
- Large collection of data mostly stored in a computer system
- The removal of noise errors and incorrect input from a database
- The systematic description of the syntatic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships.
- None of these
25. Data mining is
- The actual discovery phase of a knowledge discovery process
- The stage of selecting the right data for a KDD process
- A subject-oriented integrated time-variant non-vilatile collection of data in support of management
- None of these
26. Data selection is
- The actual discovery phase of a knowledge discovery process
- The stage of selecting the right data for a KDD process
- A subject-oriented integrated time-variant non-volatile collection of data in support of management
- None of these
27. Data warehouse is
- The actual discovery phase of a knowledge discovery process
- The stage of selecting the right data for a KDD process
- A subject-oriented integrated time-variant non-volatile collection of data in support management
- None of these
28. Coding is
- Group of similar objects that differ signifiantly from other objects
- Operations on al database to transform or simplify data in order to prepare it for a machine-learning algorithmq
- Symblic representation of facts or ideal from which information can potentially be extracted
- None of these
29. DB/2
- A family of relational database management systems marketed by IBM
- Interactive systems that enabled decision makers to use databases and models on a computer in order to solve ill-structured problems
- It consists of nodes and branches starting from a single root node. Ech node represents a test, or decision.
- None of these
30. Decision support systems (DSS) is
- A family of relational database management systems marketed by IBM
- Interactive systems that enable deision makers to use databases and models on a computer in order to solve ill-structured problems
- It consists of nodes and branches starting from a single root node. Each node represents a test, or decision.
- None of these