In a relation

A. Ordering of rows is immaterial
B. No two rows are identical
C. (A) and (B) both are true
D. None of these

Ans: C

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Which of the following are the properties of entities?

A. Groups
B. Table
C. Attributes
D. Switchboards

Ans: C

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________ produces the relation that has attributes of Ri and R2

A. Cartesian product
B. Difference
C. Intersection
D. Product

Ans: A

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Key to represent relationship between tables is called

A. Primary key
B. Secondary Key
C. Foreign Key
D. None of these

Ans: C

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Relational Algebra is

A. Data Definition Language
B. Meta Language
C. Procedural query Language
D. None of the above

Ans: C

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SET concept is used in

A. Network Model
B. Hierarchical Model
C. Relational Model
D. None of these

Ans: D

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E-R model uses this symbol to represent weak entity set?

A. Dotted rectangle
B. Diamond
C. Doubly outlined rectangle
D. None of these

Ans: C

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Data independence means

A. Data is defined separately and not included in programs
B. Programs are not dependent on the physical attributes of data.
C. Programs are not dependent on the logical attributes of data
D. Both (B) and (C).

Ans: D

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A definition or a concept is if it classifies any examples as coming within the concept

A. Complete
B. Consistent
C. Constant
D. None of these

Ans: B

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Data mining is

A. The actual discovery phase of a knowledge discovery process
B. The stage of selecting the right data for a KDD process
C. A subject-oriented integrated time variant non-volatile collection of data in support of management
D. None of these

Ans: A

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A definition of a concept is if it recognizes all the instances of that concept

A. Complete
B. Consistent
C. Constant
D. None of these

Ans: A

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Black boxes are

A. This takes only two values. In general, these values will be 0 and 1
and they can be coded as one bit.
B. The natural environment of a certain species
C. Systems that can be used without knowledge of internal operations
D. None of these

Ans: C

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Cluster is

A. Group of similar objects that differ significantly from other objects
B. Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
C. Symbolic representation of facts or ideas from which information can potentially be extracted
D. None of these

Ans: A

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Biotope are

A. This takes only two values. In general, these values will be 0 and 1
and they can be coded as one bit.
B. The natural environment of a certain species
C. Systems that can be used without knowledge of internal operations
D. None of these

Ans: B

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Classification accuracy is

A. A subdivision of a set of examples into a number of classes
B. Measure of the accuracy, of the classification of a concept that is given by a certain theory
C. The task of assigning a classification to a set of examples
D. None of these

Ans: B

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Binary attribute are

A. This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit
B. The natural environment of a certain species
C. Systems that can be used without knowledge of internal operations
D. None of these

Ans: A

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Classification is

A. A subdivision of a set of examples into a number of classes
B. A measure of the accuracy, of the classification of a concept that is given by a certain theory
C. The task of assigning a classification to a set of examples
D. None of these

Ans: A

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Case-based learning is

A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
D. None of these

Ans: C

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Background knowledge referred to

A.  Additional acquaintance used by a learning algorithm to facilitate the learning process
B. A neural network that makes use of a hidden layer
C. It is a form of automatic learning.
D. None of these

Ans: A

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Bias is

A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
B. Any mechanism employed by a learning system to constrain the search space of a hypothesis
C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
D. None of these


Ans: B

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