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
11. Artificial intelligence is
- It uses machine-learning techniques. Here rogram can learn from past experience and adapt themselves to new situations
- Computational procedure that take some value as input and produces some value as output
- Science of making machines performs tasks that would require intelligence when erformed by humans
- None of these
12. Cache is
- It is memry buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/output traffic
- the number of different values that a given attribute can take
- A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- None of these
13. Cardinality of an atrribute is
- It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/output traffic
- The number of different values that a given atrribute can take
- A mathematicall conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- None of these
14. Cartesian space is
- It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/output traffic
- The number of different values that a given attribute can take
- A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- Non of these
15. Classification is
- 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
16. Classification accuracy is
- A subdividion of a set of examples into a number of classes
- 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
17. Cluster is
- Group of similar objects that differ significantly from other objects
- Operations on a database to transform or simplfy data in order to prepare it for a machine-learning algorithm
- Symbolic representation of facts or ideal from which information can potentially be exatracted
- None of these
18. Data is
- Group of similar objects that differ significantly from other objects
- Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
- Symbjolic representation of facts or ideal from which information can potentially be extracte (D)
- None of these
19. A definition of a concept is ______ if it recognizes all the instances of that concept.
- Complete
- Consistent
- Cosnstant
- None of these
20. A definition or a concept is _________ if it does not classiy any examples as coming within the concept.
- Complete
- Consistent
- Constant
- None of these