Questions and answers for exam Preparation

MCQs

Total Questions : 60 | Page 3 of 6 pages

Question 21. Inductive logic programming is

A class of learning algorithms that try to derive a Prolog program from examples*
A table with n independent attributes can be seen as an n- dimensional space.
A prediction made using an extremely simple method, such as always predicting the same output.
None of these

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Answer: Option A. -> A class of learning algorithms that try to derive a Prolog program from examples*

Question 22. Perceptron is

General class of approaches to a problem.
Performing several computations simultaneously.
Structures in a database those are statistically relevant.
Simple forerunner of modern neural networks, without hidden layers.

Discuss Question

Answer: Option D. -> Simple forerunner of modern neural networks, without hidden layers.

Question 23. 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 organization
Relational database management system
None of these

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Answer: Option B. -> A database containing volatile data used for the daily operation of an organization

Question 24. Adaptive system management is

It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
Computational procedure that takes some value as input and produces some value as output.
Science of making machines performs tasks that would require intelligence when performed by humans
None of these

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Answer: Option A. -> It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations

Question 25. Multi-dimensional knowledge is

A class of learning algorithms that try to derive a Prolog program from examples
A table with n independent attributes can be seen as an n- dimensional space
A prediction made using an extremely simple method, such as always predicting the same output.
None of these

Discuss Question

Answer: Option B. -> A table with n independent attributes can be seen as an n- dimensional space

Question 26. 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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Answer: Option B. -> 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

Question 27. Heterogeneous databases referred to

A set of databases from different vendors, possibly using different database paradigms
An approach to a problem that is not guaranteed to work but performs well in most cases.
Information that is hidden in a database and that cannot be recovered by a simple SQL query.
None of these

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Answer: Option A. -> A set of databases from different vendors, possibly using different database paradigms

Question 28. Transparency

The large set of candidate solutions possible for a problem
The information stored in a database that can be, retrieved with a single query.
Worth of the output of a machinelearning program that makes it understandable for humans
None of these

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Answer: Option C. -> Worth of the output of a machinelearning program that makes it understandable for humans

Question 29. Binary attribute are

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

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Answer: Option A. -> This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit

Question 30. Hybrid learning is

Machine-learning involving different techniques
The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
Learning by generalizing from examples
None of these

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Answer: Option A. -> Machine-learning involving different techniques