Practice Data mining and ware house - computer mcq Online Quiz (set-2) For All Competitive Exams

Q-1)   Massively parallel machine is

(a) A programming language based on logic

(b) A computer where each processor has its own operating system, its own memory, and its own hard disk

(c) Describes the structure of the contents of a database.

(d) None of these

Q-2)   Parallelism is

(a) General class of approaches to a problem.

(b) Performing several computations simultaneously

(c) Structures in a database those are statistically relevant.

(d) Simple forerunner of modern neural networks, without hidden layers.

Q-3)   Perceptron is

(a) General class of approaches to a problem.

(b) Performing several computations simultaneously.

(c) Structures in a database those are statistically relevant.

(d) Simple forerunner of modern neural networks, without hidden layers.

Q-4)   Hybrid learning is

(a) Machine-learning involving different techniques

(b) The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

(c) Learning by generalizing from examples

(d) None of these

Q-5)   Incremental learning referred to

(a) Machine-learning involving different techniques

(b) The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned

(c) Learning by generalizing from examples

(d) None of these

Q-6)   Subject orientation

(a) The science of collecting, organizing, and applying numerical facts

(b) Measure of the probability that a certain hypothesis is incorrect given certain observations.

(c) One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)

(d) None of these

Q-7)   Statistics

(a) The science of collecting, organizing, and applying numerical facts

(b) Measure of the probability that a certain hypothesis is incorrect given certain observations.

(c) One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)

(d) None of these

Q-8)   Coding 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

Q-9)   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

Q-10)   n(log n) is referred to

(a) A measure of the desired maximal complexity of data mining algorithms

(b) A database containing volatile data used for the daily operation of an organization

(c) Relational database management system

(d) None of these

Q-11)   Heterogeneous databases referred to

(a) A set of databases from different vendors, possibly using different database paradigms

(b) An approach to a problem that is not guaranteed to work but performs well in most cases.

(c) Information that is hidden in a database and that cannot be recovered by a simple SQL query.

(d) None of these

Q-12)   Information content is

(a) The amount of information with in data as opposed to the amount of redundancy or noise

(b) One of the defining aspects of a data warehouse

(c) Restriction that requires data in one column of a database table to the a subset of another-column.

(d) None of these

Q-13)   Heuristic is

(a) A set of databases from different vendors, possibly using different database paradigms

(b) An approach to a problem that is not guaranteed to work but performs well in most cases.

(c) Information that is hidden in a database and that cannot be recovered by a simple SQL query.

(d) None of these

Q-14)   Inclusion dependencies

(a) The amount of information with in data as opposed to the amount of redundancy or noise

(b) One of the defining aspects of a data warehouse

(c) Restriction that requires data in one column of a database table to the a subset of another-column

(d) None of these

Q-15)   Integrated is

(a) The amount of information with in data as opposed to the amount of redundancy or noise

(b) One of the defining aspects of a data warehouse

(c) Restriction that requires data in one column of a database table to the a subset of another-column.

(d) None of these

Q-16)   Artificial intelligence is

(a) It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations

(b) Computational procedure that takes some value as input and produces some value as output.

(c) Science of making machines performs tasks that would require intelligence when performed by humans

(d) None of these

Q-17)   Adaptive system management is

(a) It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations

(b) Computational procedure that takes some value as input and produces some value as output.

(c) Science of making machines performs tasks that would require intelligence when performed by humans

(d) None of these

Q-18)   Deep knowledge referred to

(a) It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information)

(b) The process of executing implicit previously unknown and potentially useful information from dat(A)

(c) An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

(d) None of these

Q-19)   DNA (Deoxyribonucleic acid)

(a) It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).

(b) The process of executing implicit previously unknown and potentially useful information from dat(A)

(c) An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.

(d) None of these

Q-20)   Bayesian classifiers 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