McqMate
| 101. |
___________ percentage of the interesting information can be obtained by using SQL. |
| A. | 80 |
| B. | 70 |
| C. | 40 |
| D. | 50 |
| Answer» A. 80 | |
| 102. |
________ is the technique which is used for discovering patterns in dataset at the beginning of data mining process. |
| A. | Kohenon map. |
| B. | Visualization. |
| C. | OLAP. |
| D. | SQL. |
| Answer» B. Visualization. | |
| 103. |
In K-nearest neighbor algorithm K stands for ________. |
| A. | number of neighbors that are investigated. |
| B. | number of iterations. |
| C. | number of total records. |
| D. | random number. |
| Answer» A. number of neighbors that are investigated. | |
| 104. |
The complexity of data mining algorithm is represented by ________. |
| A. | log n. |
| B. | 2n log n. |
| C. | n log n. |
| D. | 2 log n. |
| Answer» C. n log n. | |
| 105. |
Genetic algorithm was proposed by _______. |
| A. | John Holland. |
| B. | Johnson. |
| C. | Watson. |
| D. | Kohenon. |
| Answer» A. John Holland. | |
| 106. |
________ is the first stage in genetic algorithm. |
| A. | Evaluation of each string. |
| B. | Selection of string. |
| C. | Creation of population of string. |
| D. | Genetic manipulation. |
| Answer» C. Creation of population of string. | |
| 107. |
The _________ is one of genetic operators that are used to recombine the population of genetic material. |
| A. | genetic operator. |
| B. | mutation operator. |
| C. | cross over operator. |
| D. | encoding operator. |
| Answer» A. genetic operator. | |
| 108. |
_______ is the heart of knowledge discovery in database process. |
| A. | Selection. |
| B. | Data ware house. |
| C. | Data mining. |
| D. | Creative coding. |
| Answer» D. Creative coding. | |
| 109. |
______ is a planning optimization application written for KLM |
| A. | PILOTS. |
| B. | CAPTAINS. |
| C. | CUSTOMERS. |
| D. | AIRLINES. |
| Answer» B. CAPTAINS. | |
| 110. |
EIS stands for _________. |
| A. | Executive Information System. |
| B. | Exchange of Information System. |
| C. | Extra Information System. |
| D. | Extended Information system. |
| Answer» A. Executive Information System. | |
| 111. |
Foreign key constraints are also referred as _______. |
| A. | consistency constraints. |
| B. | referential integrity. |
| C. | conditional integrity. |
| D. | domain constraints. |
| Answer» B. referential integrity. | |
| 112. |
The set of attribute in a database that refers to data in another table is called ______. |
| A. | primary key. |
| B. | candidate key. |
| C. | foreign key. |
| D. | super key. |
| Answer» C. foreign key. | |
| 113. |
The distance between two points that is calculated using Pythagoras theorem is _________. |
| A. | cartesian distance. |
| B. | eucledian distance. |
| C. | extendable distance. |
| D. | heuristic distance. |
| Answer» B. eucledian distance. | |
| 114. |
A database containing volatile data used for daily operation of an organization is ______. |
| A. | historic data. |
| B. | metadata. |
| C. | knowledge. |
| D. | operational data. |
| Answer» D. operational data. | |
| 115. |
The system that can be used without knowledge of internal operation _______. |
| A. | black box. |
| B. | white box. |
| C. | case based learning. |
| D. | bias. |
| Answer» A. black box. | |
| 116. |
______ is the relationship between compressibility and learnability. |
| A. | Maximum description length principle. |
| B. | Minimum description length principle. |
| C. | Kolmogorov complexity. |
| D. | Voronoi principle. |
| Answer» B. Minimum description length principle. | |
| 117. |
In KDD and data mining, noise is referred to as ________. |
| A. | repeated data. |
| B. | complex data. |
| C. | meta data. |
| D. | random errors in database. |
| Answer» D. random errors in database. | |
| 118. |
DSS stands for _______. |
| A. | Deciding Support System. |
| B. | Decision Support System. |
| C. | Decision Software System. |
| D. | Decision System of System. |
| Answer» B. Decision Support System. | |
| 119. |
Data mining algorithms require ___________ |
| A. | efficient sampling method. |
| B. | storage of intermediate results. |
| C. | capacity to handle large amounts of data. |
| D. | All of the above. |
| Answer» D. All of the above. | |
| 120. |
The algorithm that need to access a table several times during execution is_______. |
| A. | n-table scan algorithm. |
| B. | zoom scan algorithm. |
| C. | hybrid algorithm. |
| D. | nearest neighbor search. |
| Answer» A. n-table scan algorithm. | |
| 121. |
A coding operation in which an attribute with cardinality n is replaced by n binary attributes is called as ______. |
| A. | falsification of table. |
| B. | enrichment of table. |
| C. | flattening of table. |
| D. | fuzzification of table. |
| Answer» C. flattening of table. | |
| 122. |
The un-normalized relation containing all attributes that exist in database is ______. |
| A. | actual relation. |
| B. | transparent relation. |
| C. | verified relation. |
| D. | universal relation. |
| Answer» D. universal relation. | |
| 123. |
The technique of learning by generalizing from examples is ________. |
| A. | incremental learning. |
| B. | inductive learning. |
| C. | hybrid learning. |
| D. | generalized learning. |
| Answer» B. inductive learning. | |
| 124. |
The ever increasing amount of data is compared to that of infinite library by Jorge Louis Borges in his short stories namely _________. |
| A. | the library of Louis. |
| B. | the library of Borges. |
| C. | the library of Babel. |
| D. | the library of Boulevard. |
| Answer» C. the library of Babel. | |
| 125. |
______ itself has become a production factor of importance. |
| A. | Data. |
| B. | Information. |
| C. | Program. |
| D. | Algorithm. |
| Answer» B. Information. | |
| 126. |
The _______ plays an important role in artificial intelligence. |
| A. | programming skill. |
| B. | scheduling. |
| C. | planning. |
| D. | learning capabilities. |
| Answer» D. learning capabilities. | |
| 127. |
Knowledge discovery in database refers to _____. |
| A. | whole process of extraction of knowledge from data. |
| B. | selection of data. |
| C. | coding. |
| D. | cleaning the data. |
| Answer» A. whole process of extraction of knowledge from data. | |
| 128. |
Data mining is used to refer ______ stage in knowledge discovery in database. |
| A. | selection. |
| B. | retrieving. |
| C. | discovery. |
| D. | coding. |
| Answer» C. discovery. | |
| 129. |
Query tools and data mining tools are _______. |
| A. | same. |
| B. | different. |
| C. | complementary. |
| D. | standard. |
| Answer» C. complementary. | |
| 130. |
In genetic algorithm the problem is considered in terms of _________. |
| A. | values. |
| B. | points in multidimensional space. |
| C. | node. |
| D. | strings of characters. |
| Answer» D. strings of characters. | |
| 131. |
In UK,_______ has applied data mining techniques to analyze viewing figures. a. a press . |
| A. | press |
| B. | BBC |
| C. | CNN |
| D. | NDT |
| Answer» B. BBC | |
| 132. |
In K- nearest neighbor the input is translated to __________. |
| A. | values |
| B. | points in multidimensional space |
| C. | strings of characters |
| D. | nodes |
| Answer» B. points in multidimensional space | |
| 133. |
In machine learning ________ phase try to find the patterns from observations. |
| A. | observation |
| B. | theory |
| C. | analysis |
| D. | prediction |
| Answer» C. analysis | |
| 134. |
__________________refers to the process of deriving high-quality information from text. |
| A. | Text Mining. |
| B. | Image Mining. |
| C. | Database Mining. |
| D. | Multimedia Mining. |
| Answer» A. Text Mining. | |
| 135. |
The process of selecting good hypothesis and improving the theory based on this is called _______. |
| A. | heuristic search |
| B. | hill climbing algorithm. |
| C. | incremental search. |
| D. | apriori algorithm |
| Answer» B. hill climbing algorithm. | |
| 136. |
_____________ is the application of data mining techniques to discover patterns from the Web. |
| A. | Text Mining. |
| B. | Multimedia Mining. |
| C. | Web Mining. |
| D. | Link Mining. |
| Answer» C. Web Mining. | |
| 137. |
It is important to know the complexity of the _______ before developing any machine learning algorithm. |
| A. | data |
| B. | algorithm |
| C. | search space |
| D. | learning |
| Answer» C. search space | |
| 138. |
Information content is closely related to ______ and transparency. |
| A. | algorithm. |
| B. | search space. |
| C. | learning. |
| D. | statistical significance. |
| Answer» D. statistical significance. | |
| 139. |
The ________ is used to express the hypothesis describing the concept. |
| A. | computer language. |
| B. | algorithm. |
| C. | definition. |
| D. | theory |
| Answer» A. computer language. | |
| 140. |
A definition of a concept is complete if it recognizes _________. |
| A. | all the information. |
| B. | all the instances of a concept. |
| C. | only positive examples. |
| D. | negative examples. |
| Answer» B. all the instances of a concept. | |
| 141. |
The results of machine learning algorithms are always have to be checked for their _________. |
| A. | observations. |
| B. | calculations |
| C. | programs. |
| D. | statistical relevance. |
| Answer» D. statistical relevance. | |
| 142. |
A ________ is necessary condition for KDDs effective implement. |
| A. | data set. |
| B. | database. |
| C. | data warehouse. |
| D. | data. |
| Answer» C. data warehouse. | |
| 143. |
The first international KDD conference was held in the year ________. |
| A. | 1995. |
| B. | 1994. |
| C. | 1993. |
| D. | 1992. |
| Answer» A. 1995. | |
| 144. |
AI stands for ____. |
| A. | art of interest. |
| B. | artificial interest. |
| C. | art of intelligence. |
| D. | artificial intelligence. |
| Answer» D. artificial intelligence. | |
| 145. |
KDD is a ________. |
| A. | new technology that is use to store data. |
| B. | multidisciplinary field of research. |
| C. | database technology. |
| D. | expert system. |
| Answer» B. multidisciplinary field of research. | |
| 146. |
______ could generate rule automatically. |
| A. | KDD. |
| B. | machine learning. |
| C. | artificial intelligence. |
| D. | expert system. |
| Answer» B. machine learning. | |
| 147. |
Intelligent miner is a mining tool from _______. |
| A. | Clementine. |
| B. | living stones. |
| C. | IBM. |
| D. | Wipro. |
| Answer» C. IBM. | |
| 148. |
The organization such as ______ is in USA. |
| A. | AT & T. |
| B. | AD & T. |
| C. | AA & T. |
| D. | AT & D. |
| Answer» A. AT & T. | |
| 149. |
________ is a mining tool from integral solutions. |
| A. | WEKA |
| B. | web miner. |
| C. | rapid miner. |
| D. | clementine. |
| Answer» D. clementine. | |
| 150. |
________ % of KDD is about preparing data. |
| A. | 60. |
| B. | 70 |
| C. | 80 |
| D. | 90 |
| Answer» C. 80 | |
| 151. |
The ______ is one of the operation research techniques. |
| A. | association rules. |
| B. | k-nearest neighbor. |
| C. | decision trees. |
| D. | genetic algorithm. |
| Answer» B. k-nearest neighbor. | |
| 152. |
Everything that science discovers has only ______ value. |
| A. | standard. |
| B. | different. |
| C. | same. |
| D. | temporary. |
| Answer» D. temporary. | |
| 153. |
A good introduction to machine learning is the idea of ______. |
| A. | concept learning. |
| B. | content learning. |
| C. | theory of falsification. |
| D. | Poppers law. |
| Answer» A. concept learning. | |
| 154. |
The algorithms that are controlled by human during their execution is _______ algorithm. |
| A. | unsupervised. |
| B. | supervised. |
| C. | batch learning. |
| D. | incremental. |
| Answer» B. supervised. | |
| 155. |
Background knowledge depends on the form of ______________. |
| A. | theoretical knowledge. |
| B. | hypothesis. |
| C. | formulae. |
| D. | knowledge representation. |
| Answer» D. knowledge representation. | |
| 156. |
Bias helps to ______. |
| A. | learn. |
| B. | complete the search. |
| C. | execute the search. |
| D. | constrain the search and utilizes KDD to analyze client files. |
| Answer» D. constrain the search and utilizes KDD to analyze client files. | |
| 157. |
A _____ algorithm takes all the data at once and tries to create a hypothesis based on this data. |
| A. | supervised. |
| B. | batch learning. |
| C. | unsupervised. |
| D. | incremental learning. |
| Answer» B. batch learning. | |
| 158. |
A ________ algorithm takes a new piece of information at each learning cycle and tries to revise the theory using new data. |
| A. | supervised. |
| B. | batch learning. |
| C. | unsupervised. |
| D. | incremental learning. |
| Answer» B. batch learning. | |
| 159. |
The _________ forms the background knowledge in the inductive logic programming. |
| A. | prolog program. |
| B. | perl. |
| C. | python. |
| D. | ruby. |
| Answer» A. prolog program. | |
| 160. |
In KDD process _______ % is about mining. |
| A. | 40. |
| B. | 30. |
| C. | 20. |
| D. | 10. |
| Answer» C. 20. | |
| 161. |
________ is used to find the vaguely known data. |
| A. | SQL. |
| B. | KDD. |
| C. | Data mining. |
| D. | Sybase. |
| Answer» C. Data mining. | |
| 162. |
A definition of a concept is _______ if it does not classify any negative examples as falling under the concept. |
| A. | complete. |
| B. | consistent. |
| C. | good. |
| D. | bad. |
| Answer» B. consistent. | |
| 163. |
Lot of kangaroo jumping around the country side is an example for ________. |
| A. | parallelism. |
| B. | concept learning. |
| C. | machine learning. |
| D. | data mining. |
| Answer» A. parallelism. | |
| 164. |
The easiest way to gain access to the data and facilitate effective decision making is to set up a _______. |
| A. | database. |
| B. | data mart. |
| C. | data warehouse. |
| D. | operational. |
| Answer» C. data warehouse. | |
| 165. |
Smaller local data warehouse is called as ____. |
| A. | data mart. |
| B. | database. |
| C. | data model. |
| D. | meta data. |
| Answer» B. database. | |
| 166. |
Data warehouse is only used for _____. |
| A. | operating the data. |
| B. | managing the data. |
| C. | decision making. |
| D. | queries. |
| Answer» D. queries. | |
| 167. |
The _______ data are stored in data warehouse. |
| A. | operational. |
| B. | historical. |
| C. | transactional. |
| D. | optimized. |
| Answer» B. historical. | |
| 168. |
A decision support system is a system that ________. |
| A. | can constantly change over time. |
| B. | cannot change. |
| C. | copies the data. |
| D. | supports the system. |
| Answer» A. can constantly change over time. | |
| 169. |
Metadata is used by the end users for ______. |
| A. | managing database. |
| B. | structuring database. |
| C. | querying purposes. |
| D. | making decisions. |
| Answer» C. querying purposes. | |
| 170. |
The _________ techniques are used to load information from operational database to data warehouse. |
| A. | reengineering. |
| B. | reverse. |
| C. | transfer. |
| D. | replication. |
| Answer» D. replication. | |
| 171. |
The __________ represents the best choice for building a data warehouse. |
| A. | client/server. |
| B. | database. |
| C. | bottom up. |
| D. | visualization. |
| Answer» A. client/server. | |
| 172. |
The __________ is one of database that operates on massively parallel computer. |
| A. | sybase. |
| B. | SQL. |
| C. | postgre SQL. |
| D. | tandem. |
| Answer» D. tandem. | |
| 173. |
________ is more recent expert system. |
| A. | Mycin. |
| B. | Gasoil. |
| C. | BMT. |
| D. | XCONVAX. |
| Answer» B. Gasoil. | |
| 174. |
A ______ is not the rule that govern the basic structure of data warehouse. |
| A. | time dependent. |
| B. | volatile. |
| C. | subject oriented. |
| D. | integrated. |
| Answer» B. volatile. | |
| 175. |
The metadata that is generated at the time of building a warehouse is called ______. |
| A. | Build time metadata. |
| B. | Usage metadata. |
| C. | Control metadata. |
| D. | structure metadata. |
| Answer» A. Build time metadata. | |
| 176. |
The control metadata is used to _______. |
| A. | design a metadata. |
| B. | administrate the metadata. |
| C. | track the sequence and timing of warehouse events. |
| D. | control the data. |
| Answer» C. track the sequence and timing of warehouse events. | |
| 177. |
A data warehouse is said to contain a time-varying collection of data because ___. |
| A. | its contents vary automatically with time. |
| B. | its lifespan is very limited. |
| C. | it contains historical data. |
| D. | its content has explicit stamp. |
| Answer» C. it contains historical data. | |
| 178. |
A data warehouse is an integrated collection of data because _____. |
| A. | it is a collection of data of different data types. |
| B. | it is a collection of data derived from multiple sources. |
| C. | it is a relational database. |
| D. | it contains summarized data. |
| Answer» B. it is a collection of data derived from multiple sources. | |
| 179. |
Expert systems are ________. |
| A. | system that contain the knowledge of specialists. |
| B. | system that can think of their own. |
| C. | system that can work. |
| D. | system that can create the knowledge. |
| Answer» A. system that contain the knowledge of specialists. | |
| 180. |
_______ is an expert who analyzed the effect of using machine learning algorithm in setting up expert system. |
| A. | Borges. |
| B. | Popper. |
| C. | Bratko. |
| D. | Papert. |
| Answer» C. Bratko. | |
| 181. |
The element that is not taken into consideration for cost justification for the implementation of KDD environment is _______. |
| A. | speed. |
| B. | cost. |
| C. | complexity. |
| D. | repetition. |
| Answer» B. cost. | |
| 182. |
A ______ is an interactive system that enables decision makers to use database and models on a computer in order to solve ill structured problems. |
| A. | database. |
| B. | client/server. |
| C. | DSS. |
| D. | mainframe |
| Answer» C. DSS. | |
| 183. |
The _______ is a symbolic representation of facts or ideas from which information can potentially be extracted. |
| A. | knowledge. |
| B. | data. |
| C. | algorithm. |
| D. | program. |
| Answer» B. data. | |
| 184. |
DB/2 is a family of RDBMS marketed by _____. |
| A. | HCL. |
| B. | Wipro. |
| C. | IBM. |
| D. | Infosys. |
| Answer» C. IBM. | |
| 185. |
A collection of interesting and useful patterns in database is called _______. |
| A. | knowledge. |
| B. | information. |
| C. | data. |
| D. | algorithm. |
| Answer» A. knowledge. | |
| 186. |
In data mining software that works on local workstation is used to _______. |
| A. | write coding. |
| B. | generate screen and reports for the end user. |
| C. | make decisions. |
| D. | find patterns. |
| Answer» B. generate screen and reports for the end user. | |
| 187. |
A ________ acts a bridge between data warehouse and database application. |
| A. | data mart. |
| B. | operational data. |
| C. | meta data. |
| D. | data cube. |
| Answer» C. meta data. | |
| 188. |
The _____ operation is used for reducing data cube by one or more dimensions. |
| A. | drilling. |
| B. | rolling. |
| C. | dicing. |
| D. | slicing. |
| Answer» D. slicing. | |
| 189. |
The main organizational justification for implementing a data warehouse is to provide ______. |
| A. | cheaper ways of handling transportation. |
| B. | decision support. |
| C. | storing large volume of data. |
| D. | access to data. |
| Answer» C. storing large volume of data. | |
| 190. |
KDD consists of ______ stages. |
| A. | four. |
| B. | five. |
| C. | six. |
| D. | seven. |
| Answer» C. six. | |
| 191. |
_______ is the first stage in KDD process. |
| A. | Data selection. |
| B. | Cleaning. |
| C. | Mining. |
| D. | Enrichment. |
| Answer» A. Data selection. | |
| 192. |
The term that is not associated with data cleaning process is ______. |
| A. | domain consistance. |
| B. | de-duplication. |
| C. | disambiguation. |
| D. | segmentation. |
| Answer» D. segmentation. | |
| 193. |
In _______ process of KDD additional information can be added to the existing data. |
| A. | enrichment. |
| B. | coding. |
| C. | selecting. |
| D. | cleaning. |
| Answer» A. enrichment. | |
| 194. |
_______ is a type of coding operation that occurs frequently in KDD context. |
| A. | Filtering. |
| B. | Visualization. |
| C. | Flattening. |
| D. | Replication. |
| Answer» C. Flattening. | |
| 195. |
SQL stands for ________. |
| A. | simple query language. |
| B. | structured query language. |
| C. | strong query language. |
| D. | simple language. |
| Answer» B. structured query language. | |
| 196. |
_________ is one of the traditional query tool. |
| A. | MYSQL. |
| B. | OLAP. |
| C. | PL/SQL. |
| D. | SQL. |
| Answer» D. SQL. | |
| 197. |
The _____ is a useful method of discovering patterns at the beginning of data mining process. |
| A. | calculating distance. |
| B. | visualization techniques. |
| C. | decision trees. |
| D. | association rules. |
| Answer» B. visualization techniques. | |
| 198. |
A/An_____ is an object oriented 3D tool kit which enables the user to explore 3D structure. |
| A. | inventor. |
| B. | tandim. |
| C. | mantis. |
| D. | extruder. |
| Answer» A. inventor. | |
| 199. |
The field of research dedicated to the search for interesting projections of datasets are called __________. |
| A. | projection pursuit. |
| B. | research pursuit. |
| C. | projection. |
| D. | dataset pursuit. |
| Answer» A. projection pursuit. | |
| 200. |
Which of the following is correct order of empirical cycle of scientific research? |
| A. | Analysis, observation, prediction, theory. |
| B. | Analysis, prediction, theory, observation. |
| C. | Analysis, prediction, observation, theory. |
| D. | Analysis, observation, theory, prediction. |
| Answer» B. Analysis, prediction, theory, observation. | |
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