McqMate
| 201. |
The ___________is a long, single fibre that originates from the cell body. |
| A. | axon. |
| B. | neuron. |
| C. | dendrites. |
| D. | strands. |
| Answer» A. axon. | |
| 202. |
A single axon makes ___________ of synapses with other neurons. |
| A. | ones. |
| B. | hundreds. |
| C. | thousands. |
| D. | millions. |
| Answer» C. thousands. | |
| 203. |
_____________ is a complex chemical process in neural networks. |
| A. | receiving process. |
| B. | sending process. |
| C. | transmission process. |
| D. | switching process. |
| Answer» C. transmission process. | |
| 204. |
_________ is the connectivity of the neuron that give simple devices their real power. a. b. c. d. |
| A. | water. |
| B. | air. |
| C. | power. |
| D. | fire. |
| Answer» D. fire. | |
| 205. |
__________ are highly simplified models of biological neurons. |
| A. | artificial neurons. |
| B. | computational neurons. |
| C. | biological neurons. |
| D. | technological neurons. |
| Answer» A. artificial neurons. | |
| 206. |
The biological neuron's _________ is a continuous function rather than a step function. |
| A. | read. |
| B. | write. |
| C. | output. |
| D. | input. |
| Answer» C. output. | |
| 207. |
The threshold function is replaced by continuous functions called ________ functions. |
| A. | activation. |
| B. | deactivation. |
| C. | dynamic. |
| D. | standard. |
| Answer» A. activation. | |
| 208. |
The sigmoid function also knows as __________functions. |
| A. | regression. |
| B. | logistic. |
| C. | probability. |
| D. | neural. |
| Answer» B. logistic. | |
| 209. |
MLP stands for ______________________. |
| A. | mono layer perception. |
| B. | many layer perception. |
| C. | more layer perception. |
| D. | multi layer perception. |
| Answer» D. multi layer perception. | |
| 210. |
In a feed- forward networks, the conncetions between layers are ___________ from input to output. |
| A. | bidirectional. |
| B. | unidirectional. |
| C. | multidirectional. |
| D. | directional. |
| Answer» B. unidirectional. | |
| 211. |
The network topology is constrained to be __________________. |
| A. | feedforward. |
| B. | feedbackward. |
| C. | feed free. |
| D. | feed busy. |
| Answer» A. feedforward. | |
| 212. |
RBF stands for _____________. |
| A. | radial basis function. |
| B. | radial bio function. |
| C. | radial big function. |
| D. | radial bi function. |
| Answer» A. radial basis function. | |
| 213. |
RBF have only _______________ hidden layer. |
| A. | four. |
| B. | three. |
| C. | two. |
| D. | one. |
| Answer» D. one. | |
| 214. |
RBF hidden layer units have a receptive field which has a ____________; that is, a particular input value at which they have a maximal output. |
| A. | top. |
| B. | bottom. |
| C. | centre. |
| D. | border. |
| Answer» C. centre. | |
| 215. |
___________ training may be used when a clear link between input data sets and target output values does not exist. |
| A. | competitive. |
| B. | perception. |
| C. | supervised. |
| D. | unsupervised. |
| Answer» D. unsupervised. | |
| 216. |
___________ employs the supervised mode of learning. |
| A. | rbf. |
| B. | mlp. |
| C. | mlp & rbf. |
| D. | ann. |
| Answer» C. mlp & rbf. | |
| 217. |
________________ design involves deciding on their centres and the sharpness of their Gaussians. |
| A. | dr. |
| B. | and. |
| C. | xor. |
| D. | rbf. |
| Answer» D. rbf. | |
| 218. |
___________ is the most widely applied neural network technique. |
| A. | abc. |
| B. | plm. |
| C. | lmp. |
| D. | mlp. |
| Answer» D. mlp. | |
| 219. |
SOM is an acronym of _______________. |
| A. | self-organizing map. |
| B. | self origin map. |
| C. | single organizing map. |
| D. | simple origin map. |
| Answer» A. self-organizing map. | |
| 220. |
____________ is one of the most popular models in the unsupervised framework. |
| A. | som. |
| B. | sam. |
| C. | osm. |
| D. | mso. |
| Answer» A. som. | |
| 221. |
The actual amount of reduction at each learning step may be guided by _________. |
| A. | learning cost. |
| B. | learning level. |
| C. | learning rate. |
| D. | learning time. |
| Answer» C. learning rate. | |
| 222. |
The SOM was a neural network model developed by ________. |
| A. | simon king. |
| B. | teuvokohonen. |
| C. | tomoki toda. |
| D. | julia. |
| Answer» B. teuvokohonen. | |
| 223. |
SOM was developed during ____________. |
| A. | 1970-80. |
| B. | 1980-90. |
| C. | 1990 -60. |
| D. | 1979 -82. |
| Answer» D. 1979 -82. | |
| 224. |
Investment analysis used in neural networks is to predict the movement of _________ from previous data. |
| A. | engines. |
| B. | stock. |
| C. | patterns. |
| D. | models. |
| Answer» B. stock. | |
| 225. |
SOMs are used to cluster a specific _____________ dataset containing information about the patient's drugs etc. |
| A. | physical. |
| B. | logical. |
| C. | medical. |
| D. | technical. |
| Answer» C. medical. | |
| 226. |
GA stands for _______________. |
| A. | genetic algorithm |
| B. | gene algorithm. |
| C. | general algorithm. |
| D. | geo algorithm. |
| Answer» A. genetic algorithm | |
| 227. |
GA was introduced in the year __________. |
| A. | 1955. |
| B. | 1965. |
| C. | 1975. |
| D. | 1985. |
| Answer» C. 1975. | |
| 228. |
Genetic algorithms are search algorithms based on the mechanics of natural_______. |
| A. | systems. |
| B. | genetics. |
| C. | logistics. |
| D. | statistics. |
| Answer» B. genetics. | |
| 229. |
GAs were developed in the early _____________. |
| A. | 1970. |
| B. | 1960. |
| C. | 1950. |
| D. | 1940. |
| Answer» A. 1970. | |
| 230. |
The RSES system was developed in ___________. |
| A. | poland. |
| B. | italy. |
| C. | england. |
| D. | america. |
| Answer» A. poland. | |
| 231. |
Crossover is used to _______. |
| A. | recombine the population\s genetic material. |
| B. | introduce new genetic structures in the population. |
| C. | to modify the population\s genetic material. |
| D. | all of the above. |
| Answer» A. recombine the population\s genetic material. | |
| 232. |
The mutation operator ______. |
| A. | recombine the population\s genetic material. |
| B. | introduce new genetic structures in the population. |
| C. | to modify the population\s genetic material. |
| D. | all of the above. |
| Answer» B. introduce new genetic structures in the population. | |
| 233. |
Which of the following is an operation in genetic algorithm? |
| A. | inversion. |
| B. | dominance. |
| C. | genetic edge recombination. |
| D. | all of the above. |
| Answer» D. all of the above. | |
| 234. |
. ___________ is a system created for rule induction. |
| A. | rbs. |
| B. | cbs. |
| C. | dbs. |
| D. | lers. |
| Answer» D. lers. | |
| 235. |
NLP stands for _________. |
| A. | non language process. |
| B. | nature level program. |
| C. | natural language page. |
| D. | natural language processing. |
| Answer» D. natural language processing. | |
| 236. |
Web content mining describes the discovery of useful information from the _______contents. |
| A. | text. |
| B. | web. |
| C. | page. |
| D. | level. |
| Answer» B. web. | |
| 237. |
Research on mining multi-types of data is termed as _______ data. |
| A. | graphics. |
| B. | multimedia. |
| C. | meta. |
| D. | digital. |
| Answer» B. multimedia. | |
| 238. |
_______ mining is concerned with discovering the model underlying the link structures of the web. |
| A. | data structure. |
| B. | web structure. |
| C. | text structure. |
| D. | image structure. |
| Answer» B. web structure. | |
| 239. |
_________ is the way of studying the web link structure. |
| A. | computer network. |
| B. | physical network. |
| C. | social network. |
| D. | logical network. |
| Answer» C. social network. | |
| 240. |
The ________ propose a measure of standing a node based on path counting. |
| A. | open web. |
| B. | close web. |
| C. | link web. |
| D. | hidden web. |
| Answer» B. close web. | |
| 241. |
In web mining, _______ is used to find natural groupings of users, pages, etc. |
| A. | clustering. |
| B. | associations. |
| C. | sequential analysis. |
| D. | classification. |
| Answer» A. clustering. | |
| 242. |
In web mining, _________ is used to know the order in which URLs tend to be accessed. |
| A. | clustering. |
| B. | associations. |
| C. | sequential analysis. |
| D. | classification. |
| Answer» C. sequential analysis. | |
| 243. |
In web mining, _________ is used to know which URLs tend to be requested together. |
| A. | clustering. |
| B. | associations. |
| C. | sequential analysis. |
| D. | classification. |
| Answer» B. associations. | |
| 244. |
__________ describes the discovery of useful information from the web contents. |
| A. | web content mining. |
| B. | web structure mining. |
| C. | web usage mining. |
| D. | all of the above. |
| Answer» A. web content mining. | |
| 245. |
_______ is concerned with discovering the model underlying the link structures of the web. |
| A. | web content mining. |
| B. | web structure mining. |
| C. | web usage mining. |
| D. | all of the above. |
| Answer» B. web structure mining. | |
| 246. |
The ___________ engine for a data warehouse supports query-triggered usage of data |
| A. | nntp |
| B. | smtp |
| C. | olap |
| D. | pop |
| Answer» C. olap | |
| 247. |
________ displays of data such as maps, charts and other graphical representation allow data to be presented compactly to the users. |
| A. | hidden |
| B. | visual |
| C. | obscured |
| D. | concealed |
| Answer» B. visual | |
| 248. |
__________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management decisions. |
| A. | data mining. |
| B. | data warehousing. |
| C. | web mining. |
| D. | text mining. |
| Answer» B. data warehousing. | |
| 249. |
The important aspect of the data warehouse environment is that data found within the data warehouse is___________. |
| A. | subject-oriented. |
| B. | time-variant. |
| C. | integrated. |
| D. | all of the above. |
| Answer» D. all of the above. | |
| 250. |
_________maps the core warehouse metadata to business concepts, familiar and useful to end users. |
| A. | application level metadata. |
| B. | user level metadata. |
| C. | enduser level metadata. |
| D. | core level metadata. |
| Answer» A. application level metadata. | |
| 251. |
Data redundancy between the environments results in less than ____________percent. |
| A. | one. |
| B. | two. |
| C. | three. |
| D. | four. |
| Answer» A. one. | |
| 252. |
Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed in the conversion process. |
| A. | 10 percent. |
| B. | 20 percent. |
| C. | 40 percent |
| D. | 80 percent. |
| Answer» D. 80 percent. | |
| 253. |
The biggest drawback of the level indicator in the classic star-schema is that it limits_________ |
| A. | quantify. |
| B. | qualify. |
| C. | flexibility. |
| D. | ability. |
| Answer» C. flexibility. | |
| 254. |
Maintenance of cache consistency is the limitation of __________________. |
| A. | numa. |
| B. | unam. |
| C. | mpp. |
| D. | pmp. |
| Answer» C. mpp. | |
| 255. |
___________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity. |
| A. | additivity. |
| B. | granularity. |
| C. | functional dependency. |
| D. | dimensionality. |
| Answer» C. functional dependency. | |
| 256. |
Non-additive measures can often combined with additive measures to create new _________.. |
| A. | additive measures. |
| B. | non-additive measures. |
| C. | partially additive. |
| D. | all of the above. |
| Answer» A. additive measures. | |
| 257. |
____________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity. |
| A. | additivity. |
| B. | granularity. |
| C. | functional dependency. |
| D. | dependency. |
| Answer» C. functional dependency. | |
| 258. |
_____________ helps to uncover hidden information about the data.. |
| A. | induction. |
| B. | compression. |
| C. | approximation. |
| D. | summarization. |
| Answer» C. approximation. | |
| 259. |
If T consist of 500000 transactions, 20000 transaction contain bread, 30000 transaction contain jam, 10000 transaction contain both bread and jam. Then the support of bread and jam is _______. |
| A. | 2% |
| B. | 20% |
| C. | 3% |
| D. | 30% |
| Answer» A. 2% | |
| 260. |
7 If T consist of 500000 transactions, 20000 transaction contain bread, 30000 transaction contain
|
| A. | 33.33% |
| B. | 66.66% |
| C. | 45% |
| D. | 50% |
| Answer» D. 50% | |
| 261. |
The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent, from being considered for counting support. |
| A. | candidate generation. |
| B. | pruning. |
| C. | partitioning. |
| D. | itemset eliminations. |
| Answer» B. pruning. | |
| 262. |
The transformed prefix paths of a node 'a' form a truncated database of pattern which co-occur with a is called _______. |
| A. | suffix path. |
| B. | fp-tree. |
| C. | conditional pattern base. |
| D. | prefix path. |
| Answer» C. conditional pattern base. | |
| 263. |
__________ clustering techniques starts with all records in one cluster and then try to split that cluster into small pieces. |
| A. | agglomerative. |
| B. | divisive. |
| C. | partition. |
| D. | numeric. |
| Answer» B. divisive. | |
| 264. |
BIRCH is a ________.. |
| A. | agglomerative clustering algorithm. |
| B. | hierarchical algorithm. |
| C. | hierarchical-agglomerative algorithm. |
| D. | divisive. |
| Answer» C. hierarchical-agglomerative algorithm. | |
| 265. |
The ________ algorithm is based on the observation that the frequent sets are normally very few in number compared to the set of all itemsets. |
| A. | a priori. |
| B. | clustering. |
| C. | association rule. |
| D. | partition. |
| Answer» D. partition. | |
| 266. |
The basic idea of the apriori algorithm is to generate________ item sets of a particular size & scans the database. |
| A. | candidate. |
| B. | primary. |
| C. | secondary. |
| D. | superkey. |
| Answer» A. candidate. | |
| 267. |
________is the most well known association rule algorithm and is used in most commercial products. |
| A. | apriori algorithm. |
| B. | partition algorithm. |
| C. | distributed algorithm. |
| D. | pincer-search algorithm. |
| Answer» A. apriori algorithm. | |
| 268. |
An algorithm called________is used to generate the candidate item sets for each pass after the first. |
| A. | apriori. |
| B. | apriori-gen. |
| C. | sampling. |
| D. | partition. |
| Answer» B. apriori-gen. | |
| 269. |
___________can be thought of as classifying an attribute value into one of a set of possible classes. |
| A. | estimation. |
| B. | prediction. |
| C. | identification. |
| D. | clarification. |
| Answer» B. prediction. | |
| 270. |
____________ are a different paradigm for computing which draws its inspiration from neuroscience. |
| A. | computer networks. |
| B. | neural networks. |
| C. | mobile networks. |
| D. | artificial networks. |
| Answer» B. neural networks. | |
| 271. |
In a feed- forward networks, the conncetions between layers are ___________ from input to output. |
| A. | bidirectional. |
| B. | unidirectional. |
| C. | multidirectional. |
| D. | directional. |
| Answer» B. unidirectional. | |
| 272. |
___________ training may be used when a clear link between input data sets and target output values does not exist. |
| A. | competitive. |
| B. | perception. |
| C. | supervised. |
| D. | unsupervised. |
| Answer» D. unsupervised. | |
| 273. |
Investment analysis used in neural networks is to predict the movement of _________ from previous data. |
| A. | engines. |
| B. | stock. |
| C. | patterns. |
| D. | models. |
| Answer» B. stock. | |
| 274. |
SOMs are used to cluster a specific _____________ dataset containing information about the patient's drugs etc. |
| A. | physical. |
| B. | logical. |
| C. | medical. |
| D. | technical. |
| Answer» C. medical. | |
| 275. |
_______ is concerned with discovering the model underlying the link structures of the web.. |
| A. | web content mining. |
| B. | web structure mining. |
| C. | web usage mining. |
| D. | all of the above. |
| Answer» B. web structure mining. | |
| 276. |
A link is said to be _________ link if it is between pages with different domain names. |
| A. | intrinsic. |
| B. | transverse. |
| C. | direct. |
| D. | contrast. |
| Answer» B. transverse. | |
| 277. |
A link is said to be _______ link if it is between pages with the same domain name. |
| A. | intrinsic. |
| B. | transverse. |
| C. | direct. |
| D. | contrast. |
| Answer» A. intrinsic. | |
| 278. |
Patterns that can be discovered from a given database are which type |
| A. | more than one type |
| B. | multiple types always |
| C. | one type only |
| D. | no specific type |
| Answer» A. more than one type | |
| 279. |
A snowflake schema is which of the following types of tables? |
| A. | fact |
| B. | dimension |
| C. | helper |
| D. | all of the above |
| Answer» D. all of the above | |
| 280. |
Which one manages both current and historic transactions? |
| A. | oltp |
| B. | olap |
| C. | spread sheet |
| D. | xml |
| Answer» B. olap | |
| 281. |
Expansion for DSS in DW is__________. |
| A. | decision support system |
| B. | decision single system |
| C. | data storable system |
| D. | data support system |
| Answer» A. decision support system | |
| 282. |
__________describes the data contained in the data warehouse |
| A. | relational data |
| B. | operational data |
| C. | meta data |
| D. | informational data |
| Answer» C. meta data | |
| 283. |
Converting data from different sources into a common format for processing is called as________. |
| A. | selection. |
| B. | preprocessing |
| C. | transformation |
| D. | interpretation |
| Answer» C. transformation | |
| 284. |
Data warehousing is used in_______________ |
| A. | transaction system |
| B. | database management system |
| C. | decision support system |
| D. | expert system |
| Answer» C. decision support system | |
| 285. |
Data warehouse is based on_____________ |
| A. | two dimensional model |
| B. | three dimensional model |
| C. | multi dimensional model |
| D. | unidimensional model |
| Answer» C. multi dimensional model | |
| 286. |
Multidimensional model of data warehouse called as_____ |
| A. | data structure |
| B. | table |
| C. | tree |
| D. | data cube |
| Answer» D. data cube | |
| 287. |
In data warehousing what is time-variant data? |
| A. | data in the warehouse is only accurate and valid at some point in time or over time interval |
| B. | data in the warehouse is always accurate and valid |
| C. | data in the warehouse is not accurate |
| D. | data in the warehouse is only accurate sometimes |
| Answer» A. data in the warehouse is only accurate and valid at some point in time or over time interval | |
| 288. |
What is a Star Schema? |
| A. | a star schema consists of a fact table with a single table for each dimension |
| B. | a star schema is a type of database system |
| C. | a star schema is used when exporting data from the database |
| D. | none of these |
| Answer» A. a star schema consists of a fact table with a single table for each dimension | |
| 289. |
What does the acronym ETL stands for? |
| A. | explain,transfer and lead |
| B. | extract,transform and load |
| C. | extract,transfer and load |
| D. | effect,transfer and load |
| Answer» B. extract,transform and load | |
| 290. |
Which small logical units do data warehouses hold large amounts of information? |
| A. | data storage |
| B. | data marts |
| C. | access layers |
| D. | data miners |
| Answer» B. data marts | |
| 291. |
Which one is correct for data warehousing? |
| A. | it can be updated by end users |
| B. | it can solve all business questions |
| C. | it is designed for focus subject areas |
| D. | it contains only current data |
| Answer» C. it is designed for focus subject areas | |
| 292. |
A fact table is related to dimensional table as a ___ relationship |
| A. | 1:m |
| B. | m:n |
| C. | m:1 |
| D. | 1:1 |
| Answer» C. m:1 | |
| 293. |
Minkowski distance is a function used to find the distance between two |
| A. | binary vectors |
| B. | boolean-valued vectors |
| C. | real-valued vectors |
| D. | categorical vectors |
| Answer» C. real-valued vectors | |
| 294. |
Data set of designation {Professor, Assistant Professor, Associate Professor} is example of__________attribute. |
| A. | continuous |
| B. | ordinal |
| C. | numeric |
| D. | nominal |
| Answer» D. nominal | |
| 295. |
Identify the correct example of Nominal Attributes. |
| A. | weight of person in kg |
| B. | income categories - high, medium, low |
| C. | mobile number |
| D. | all above |
| Answer» B. income categories - high, medium, low | |
| 296. |
When objects are represented using single attribute, the proximity value 1 indicates : |
| A. | objects are similar |
| B. | objects are dissimilar |
| C. | not equal |
| D. | reflexive |
| Answer» A. objects are similar | |
| 297. |
Identity correct equation of Jacard Coefficient: |
| A. | j= f11/f01+f10+f11 |
| B. | j= f11+f00/f01+f10+f11 |
| C. | j= f11+f00/f01+f10 |
| D. | none of these |
| Answer» A. j= f11/f01+f10+f11 | |
| 298. |
What equation we get when r parameter =2 in Minskowski Distance formula? |
| A. | manhattan distance |
| B. | euclidean distance |
| C. | lmaximum distance |
| D. | all |
| Answer» B. euclidean distance | |
| 299. |
________is a generalization of Manhattan, Euclidean and Max Distance |
| A. | euclidean distance |
| B. | minkowski distance |
| C. | manhattan distance |
| D. | jaccard distance |
| Answer» B. minkowski distance | |
| 300. |
_________ distance is based on L1 norm. |
| A. | euclidean distance |
| B. | minkowski distance |
| C. | manhattan distance |
| D. | jaccard distance |
| Answer» C. manhattan distance | |
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