Top 350+ Solved Data Mining and Data Warehouse MCQ Questions Answer
Q. 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. Search space
a. The large set of candidate solutions possible for a problem
b. The information stored in a database that can be, retrieved with a single query.
c. Worth of the output of a machine- learning program that makes it understandable for humans
d. None of these
Q. Transparency
a. The large set of candidate solutions possible for a problem
b. The information stored in a database that can be, retrieved with a single query.
c. Worth of the output of a machine- learning program that makes it under- standable for humans
d. None of these
Q. Quantitative attributes are
a. A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
b. Attributes of a database table that can take only numerical values.
c. Tools designed to query a database.
d. None of these
Q. Unsupervised algorithms
a. It do not need the control of the human operator during their execution.
b. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
c. The validation of a theory on the basis of a finite number of examples.
d. None of these
Q. Vector
a. It do not need the control of the human operator during their execution.
b. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
c. The validation of a theory on the basis of a finite number of examples.
d. None of these
Q. Verification
a. It does not need the control of the human operator during their execution.
b. An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
c. The validation of a theory on the basis of a finite number of examples
d. None of these
Q. Visualization techniques are
a. A class of graphic techniques used to visualize the contents of a database
b. The division of a certain space into various areas based on guide points.
c. A branch that connects one node to another
d. None of these
Q. Voronoi diagram
a. A class of graphic techniques used to visualize the contents of a database
b. The division of a certain space into various areas based on guide points.
c. A branch that connects one node to another
d. None of these
Q. Synapse is
a. A class of graphic techniques used to visualize the contents of a database
b. The division of a certain space into various areas based on guide points.
c. A branch that connects one node to another
d. None of these
Q. _______test is used in an online transactional processing environment.
a. meg
b. micro.
c. macro.
d. aci
Q. ___________ is a good alternative to the star schema.
a. star schem
b. snowflake schema.
c. fact constellation.
d. star-snowflake schema.
Q. The biggest drawback of the level indicator in the classic star-schema is that it limits_________.
a. quantify.
b. qualify.
c. flexibility.
d. ability.
Q. A data warehouse is _____________.
a. updated by end users.
b. contains numerous naming conventions and formats
c. organized around important subject areas.
d. contains only current data.
Q. An operational system is _____________.
a. used to run the business in real time and is based on historical dat
b. used to run the business in real time and is based on current data.
c. used to support decision making and is based on current data.
d. used to support decision making and is based on historical data.