McqMate
| 101. |
Which statement is not TRUE regarding a data mining task? |
| A. | Clustering is a descriptive data mining task |
| B. | Classification is a predictive data mining task |
| C. | Regression is a descriptive data mining task |
| D. | Deviation detection is a predictive data mining task |
| Answer» C. Regression is a descriptive data mining task | |
| 102. |
Synonym for data mining is |
| A. | Data Warehouse |
| B. | Knowledge discovery in database |
| C. | Business intelligence |
| D. | OLAP |
| Answer» B. Knowledge discovery in database | |
| 103. |
Which of the following is not a data mining task? |
| A. | Feature Subset Detection |
| B. | Association Rule Discovery |
| C. | Regression |
| D. | Sequential Pattern Discovery |
| Answer» A. Feature Subset Detection | |
| 104. |
Which of the following issue is considered before investing in Data Mining? |
| A. | Functionality |
| B. | Vendor consideration |
| C. | Compatibility |
| D. | All of the above |
| Answer» D. All of the above | |
| 105. |
Data independence means |
| A. | Data is defined separately and not included in programs |
| B. | Programs are not dependent on the physical attributes of data |
| C. | Programs are not dependent on the logical attributes of data |
| D. | Both (B) and (C) |
| Answer» D. Both (B) and (C) | |
| 106. |
A definition or a concept is if it classifies any examples as coming within the concept |
| A. | Complete |
| B. | Consistent |
| C. | Constant |
| D. | None of these |
| Answer» B. Consistent | |
| 107. |
Which of the following activities is a data mining task? |
| A. | Monitoring the heart rate of a patient for abnormalities |
| B. | Extracting the frequencies of a sound wave |
| C. | Predicting the outcomes of tossing a (fair) pair of dice |
| D. | Dividing the customers of a company according to their profitability |
| Answer» A. Monitoring the heart rate of a patient for abnormalities | |
| 108. |
Data Visualization in mining cannot be done using |
| A. | Photos |
| B. | Graphs |
| C. | Charts |
| D. | Information Graphics |
| Answer» A. Photos | |
| 109. |
To detect fraudulent usage of credit cards, the following data mining task should be used |
| A. | Outlier analysis |
| B. | prediction |
| C. | association analysis |
| D. | feature selection |
| Answer» A. Outlier analysis | |
| 110. |
A definition or a concept is if it classifies any examples as coming within the concept |
| A. | Complete |
| B. | Consistent |
| C. | Constant |
| Answer» B. Consistent | |
| 111. |
Classification accuracy is |
| A. | Subdivision of a set of examples into a number of classes |
| B. | Measure of the accuracy, of the classification of a concept that is given by a certain theory |
| C. | The task of assigning a classification to a set of examples |
| Answer» B. Measure of the accuracy, of the classification of a concept that is given by a certain theory | |
| 112. |
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 |
| Answer» A. Group of similar objects that differ significantly from other objects | |
| 113. |
Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of |
| A. | Classification |
| B. | Regression |
| C. | Clustering |
| D. | Structural equation modeling |
| Answer» B. Regression | |
| 114. |
Bayesian classifiers is |
| 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 |
| Answer» A. class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory | |
| 115. |
Background knowledge referred to |
| A. | Additional acquaintance used by a learning algorithm to facilitate the learning process |
| B. | A neural network that makes use of a hidden layer |
| C. | It is a form of automatic learning |
| D. | None of these |
| Answer» B. A neural network that makes use of a hidden layer | |
| 116. |
Which of the following is finally produced by Hierarchical Clustering? |
| A. | Final estimate of cluster centroids |
| B. | tree showing how close things are to each other |
| C. | assignment of each point to clusters |
| D. | all of the mentioned |
| Answer» B. tree showing how close things are to each other | |
| 117. |
Which of the following is required by K-means clustering? |
| A. | defined distance metric |
| B. | number of clusters |
| C. | initial guess as to cluster centroids |
| D. | all of the mentioned |
| Answer» D. all of the mentioned | |
| 118. |
Point out the wrong statement. |
| A. | k-means clustering is a method of vector quantization |
| B. | k-means clustering aims to partition n observations into k clusters |
| C. | k-nearest neighbor is same as k-means |
| D. | none of the mentioned |
| Answer» C. k-nearest neighbor is same as k-means | |
| 119. |
Which of the following combination is incorrect? |
| A. | Continuous – euclidean distance |
| B. | Continuous – correlation similarity |
| C. | Binary – manhattan distance |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 120. |
Which of the following ways can be used to represent a graph? |
| A. | Adjacency List and Adjacency Matrix |
| B. | Incidence Matrix |
| C. | Adjacency List, Adjacency Matrix as well as Incidence Matrix |
| D. | No way to represent |
| Answer» C. Adjacency List, Adjacency Matrix as well as Incidence Matrix | |
| 121. |
Which of the following function is used for k-means clustering? |
| A. | k-means |
| B. | k-mean |
| C. | heatmap |
| D. | none of the mentioned |
| Answer» A. k-means | |
| 122. |
K-means is not deterministic and it also consists of number of iterations. |
| A. | true |
| B. | false |
| Answer» A. true | |
| 123. |
N-grams are defined as the combination of N keywords together. How many bi-grams can be generated from given sentence? |
| A. | 7 |
| B. | 8 |
| C. | 9 |
| D. | 10 |
| Answer» C. 9 | |
| 124. |
Social networks are great distribution channel for ___________ |
| A. | Customer feedback |
| B. | Viral Content |
| C. | exclusive coupons |
| D. | marketing messages |
| Answer» D. marketing messages | |
| 125. |
Two increasingly important ethical aspects of social media are |
| A. | Ratings and traffic. |
| B. | Transparency and privacy. |
| C. | Identity and honesty. |
| D. | Virtue and virality |
| Answer» B. Transparency and privacy. | |
| 126. |
Larger Social n/w ing sites ____________ |
| A. | will force niche social n/w sites out of business. |
| B. | sets social media trends |
| C. | expected to see declining growth rate |
| D. | better fit for non profit organizations |
| Answer» B. sets social media trends | |
| 127. |
White label social n/w is privately run by non profit organization |
| A. | true |
| B. | false |
| Answer» A. true | |
| 128. |
WHICH SOCIAL NETWORK DOES NOT OFFER ANALYTICS? |
| A. | |
| B. | |
| C. | LinekIn |
| D. | None of Above |
| Answer» D. None of Above | |
| 129. |
Which of the following is NOT a fundamental area of change regarding people's media habits? |
| A. | Communication. |
| B. | Conversation |
| C. | Collaboration |
| D. | Choice |
| Answer» A. Communication. | |
| 130. |
WHICH SOCIAL NETWORK DOES NOT PROVIDE USERS WITH SELFIE FILTERS? |
| A. | |
| B. | |
| C. | LinekIn |
| D. | |
| Answer» D. twitter | |
| 131. |
WHAT IS THE LARGEST GLOBAL SOCIAL NETWORK (BY TOTAL ACTIVE USERS)? |
| A. | |
| B. | |
| C. | LinekIn |
| D. | |
| Answer» A. Facebook | |
| 132. |
Which of the following is valuable in increasing page rank? |
| A. | paying for placement |
| B. | static content |
| C. | quantity of links from other highly ranked pages to your site |
| D. | None of Above |
| Answer» C. quantity of links from other highly ranked pages to your site | |
| 133. |
What is social media optimization? |
| A. | Creating content for publicity via social n/w |
| B. | writing content |
| C. | Creating content easily indexed |
| D. | Hiring people to create content for social n/w |
| Answer» A. Creating content for publicity via social n/w | |
| 134. |
What is vlog? |
| A. | Video log |
| B. | Video Blog |
| C. | log of blog |
| D. | None of Above |
| Answer» B. Video Blog | |
| 135. |
Which technology concerned with social media privacy? |
| A. | Data Science |
| B. | Ethical Hacking |
| C. | Cyber Security |
| D. | DBMS |
| Answer» C. Cyber Security | |
| 136. |
Which of these is usually not kept private on social media? |
| A. | photos |
| B. | username |
| C. | invitation |
| D. | None of Above |
| Answer» B. username | |
| 137. |
Which of these social media platforms features end to end encryption? |
| A. | |
| B. | |
| C. | Snapchat |
| D. | |
| Answer» D. Whatsapp | |
| 138. |
Which of these is a password protect measure? |
| A. | tagging friends less often |
| B. | setting strong passwords |
| C. | using multiple accounts |
| D. | making onformation private |
| Answer» B. setting strong passwords | |
| 139. |
Which social network is considered the most popular for social media marketing? |
| A. | |
| B. | |
| C. | Linkdin |
| D. | Whats App |
| Answer» B. Facebook | |
| Explanation: Facebook is the biggest social media site around, with more than two billion people using it every month. | |
| 140. |
What is the name for Facebook`s ranking algorithm? |
| A. | Like Rank |
| B. | Face rank |
| C. | Page rank |
| D. | Edge rank |
| Answer» D. Edge rank | |
| Explanation: Edge rank is the name for Facebook`s ranking algorithm. | |
| 141. |
Which of the following is an important aspect of creating blogs and posting content? |
| A. | Using a witty user name |
| B. | Posting at least once a month to the blog |
| C. | Social Media Optimization |
| D. | All of the above |
| Answer» D. All of the above | |
| Explanation: All of the above option is an important aspect of creating blogs and posting content. | |
| 142. |
What is meant by "micro-blogging"? |
| A. | Blogs which are posted by companies, not individuals |
| B. | Blogs with limited individual posts, limited by character count typically |
| C. | Blogging from mobile devices |
| D. | All of the above |
| Answer» B. Blogs with limited individual posts, limited by character count typically | |
| Explanation: micro-blogging means blogs with limited individual posts, limited by character count typically. | |
| 143. |
What is "social media optimization"? |
| A. | Creating content which easily creates publicity via social networks |
| B. | Writing clear content |
| C. | Creating short content which is easily indexed |
| D. | Hiring people to create content for social networks |
| Answer» A. Creating content which easily creates publicity via social networks | |
| Explanation: social media optimization means creating content which easily creates publicity via social networks. | |
| 144. |
What would the marketing budget section of a marketing plan detail? |
| A. | The cost to write the plan |
| B. | The marketing personnel job descriptions |
| C. | The expected costs for each ad campaign based on the delivery method |
| D. | None of the above |
| Answer» C. The expected costs for each ad campaign based on the delivery method | |
| Explanation: The marketing budget section of a marketing plan detail is the overall marketing budget for a year. | |
| 145. |
How does creating a social network marketing plan differ from a traditional marketing plan? |
| A. | The brand image should be completely different for social marketing |
| B. | The staff requirements and skill sets for social marketing are different |
| C. | Other than the method of delivery, a marketing plan either way will be similar |
| D. | None of the above |
| Answer» B. The staff requirements and skill sets for social marketing are different | |
| Explanation: Creating a social network marketing plan differ from a traditional marketing plan because the staff requirements and skill sets for social marketing are different. | |
| 146. |
Which of the following is functions of social media for business? |
| A. | Are you participating in the conversation and sharing? |
| B. | Are you listening and monitoring what is being said about you? |
| C. | Both A and B |
| D. | None of the above |
| Answer» C. Both A and B | |
| Explanation: There are two functions of social media for business : Are you participating in the conversation and sharing? and Are you listening and monitoring what is being said about you? | |
| 147. |
Social networks are organized primarily around _____________ |
| A. | Brands |
| B. | People |
| C. | Discussions |
| D. | interests |
| Answer» B. People | |
| 148. |
Which social network most popular for Business to Business marketing. |
| A. | |
| B. | Orkut |
| C. | Ryze |
| D. | |
| Answer» D. LinkedIn | |
| 149. |
Visualization of Social n/w depicted by_____________ |
| A. | Varying size of nodes |
| B. | Varying size of nodes |
| C. | Varying size and color of nodes |
| D. | None of Above |
| Answer» C. Varying size and color of nodes | |
| 150. |
Most common Social n/w characteristics used are__________ |
| A. | Betweenness |
| B. | Closeness |
| C. | Degree |
| D. | All above |
| Answer» D. All above | |
| 151. |
Popular algorithm for node_link diagram is ___________ |
| A. | Link state routing algorithm |
| B. | Forced directed layout algorithm |
| C. | Semantic based layout algorithm |
| D. | None of Above |
| Answer» B. Forced directed layout algorithm | |
| 152. |
Visualization is ______display of data. |
| A. | pictorial |
| B. | graphical |
| C. | numerical |
| D. | linear |
| Answer» B. graphical | |
| 153. |
Social network analysis is process of investigating through use of ____and ______ |
| A. | Edges, Graph |
| B. | Vector,graph |
| C. | network , Graph |
| D. | Vector, Edges |
| Answer» C. network , Graph | |
| 154. |
Adjacency graphs are ___________ |
| A. | one mode |
| B. | two mode |
| C. | bipertite |
| D. | None of Above |
| Answer» A. one mode | |
| 155. |
Following are measures of Centrality |
| A. | degree |
| B. | Betweenness |
| C. | Eigen vector |
| D. | All above |
| Answer» D. All above | |
| 156. |
Current visualization of social n/w is some form of ____________ |
| A. | Node_Link_diagram |
| B. | Vector Diagram |
| C. | Edge Diagram |
| D. | All above |
| Answer» A. Node_Link_diagram | |
| 157. |
Which is not algorithmic approach for visualization? |
| A. | Tree layout |
| B. | Layered layout |
| C. | Symmetric layout |
| D. | Edge Layout |
| Answer» D. Edge Layout | |
| 158. |
Hive plots defines____________layout for nodes |
| A. | Linear |
| B. | graphical |
| C. | structural |
| D. | vectorial |
| Answer» A. Linear | |
| 159. |
Circular graph layout is a drawing scheme where all nodes are placed on the ____________ of a circle. |
| A. | area |
| B. | perimeter |
| C. | radius |
| D. | diagonal |
| Answer» B. perimeter | |
| 160. |
A measure of connectedness between components of graph is ___________ |
| A. | degree |
| B. | closeness |
| C. | Eigen value |
| D. | Betweenness |
| Answer» D. Betweenness | |
| 161. |
Following are N/w Visualization applications. |
| A. | Moviegalaxies |
| B. | Twitterscope |
| C. | LinkedIn Maps |
| D. | All above |
| Answer» D. All above | |
| 162. |
Affiliation graphs are ___________ |
| A. | one mode |
| B. | two mode |
| C. | multimode |
| D. | None of Above |
| Answer» B. two mode | |
| 163. |
Which is not a visualization tool |
| A. | NodeXL |
| B. | Ruby |
| C. | Pajek |
| D. | Gephi |
| Answer» B. Ruby | |
| 164. |
____________ is an open source software platform for visualizing molecular interaction networks |
| A. | Cytoscape |
| B. | Cuttlefish |
| C. | Commetrix |
| D. | Egonet |
| Answer» A. Cytoscape | |
| 165. |
Software Framework for Dynamic Network Visualization and Analysis is ______ |
| A. | Cytoscape |
| B. | Cuttlefish |
| C. | Commetrix |
| D. | Egonet |
| Answer» C. Commetrix | |
| 166. |
____________is a cloud-based text and social networks analyzer |
| A. | Cytoscape |
| B. | Gephi |
| C. | Pajek |
| D. | Netlytic |
| Answer» D. Netlytic | |
| 167. |
_______performs network analysis AND network visualization in one integrated product. |
| A. | Cytoscape |
| B. | InFlow |
| C. | Gephi |
| D. | Egonet |
| Answer» B. InFlow | |
| 168. |
MeerKat offers facilities for automated ___________mining |
| A. | data |
| B. | vector |
| C. | community |
| D. | cluster |
| Answer» C. community | |
| 169. |
____________ is dedicated to the analysis and visualization of relational data. |
| A. | Tulip |
| B. | InFlow |
| C. | Gephi |
| D. | Egonet |
| Answer» A. Tulip | |
| 170. |
___________is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs |
| A. | Cytoscape |
| B. | Gephi |
| C. | Commetrix |
| D. | Cuttlefish |
| Answer» B. Gephi | |
| 171. |
_______software for analysis and visualization of large networks used for Windows-only. |
| A. | NodeXL |
| B. | Ruby |
| C. | Pajek |
| D. | Gephi |
| Answer» C. Pajek | |
| 172. |
________is used for bibliometric data. |
| A. | VOSViewer |
| B. | Gephi |
| C. | Commetrix |
| D. | Cuttlefish |
| Answer» A. VOSViewer | |
| 173. |
_______is an online tool that lets you visualize and analyze LinkedIn network |
| A. | Cytoscape |
| B. | Gephi |
| C. | Commetrix |
| D. | Socilab |
| Answer» D. Socilab | |
| 174. |
________________is cross-platform user friendly tool that allows you to draw social network |
| A. | VOSViewer |
| B. | Social Network Visualizer |
| C. | Commetrix |
| D. | Cuttlefish |
| Answer» B. Social Network Visualizer | |
| 175. |
___________is open source and free visualization tool |
| A. | NodeXL |
| B. | Ruby |
| C. | Pajek |
| D. | Gephi |
| Answer» D. Gephi | |
| 176. |
____________predicts future trends & behaviors, allowing business managers to make proactive,knowledge-driven decisions. |
| A. | Data warehouse. |
| B. | Datamarts |
| C. | Data mining. |
| D. | Metadata |
| Answer» C. Data mining. | |
| 177. |
Text mining reads an ____________ form of data to provide meaningful information patterns |
| A. | structured |
| B. | unstructured |
| C. | semistructured |
| D. | None of Above |
| Answer» B. unstructured | |
| 178. |
Keyword search on XML data is a simpler problem because_______ |
| A. | XML data is mostly not structured |
| B. | XML data is mostly tree structured |
| C. | XML data is mostly semi structured |
| D. | XML data is mostly fully structured |
| Answer» B. XML data is mostly tree structured | |
| 179. |
Most well-known keyword search algorithm for relational data is _______ |
| A. | DBX-plorer |
| B. | DISCOVER |
| C. | Both |
| D. | None |
| Answer» C. Both | |
| 180. |
Following is not classification algorithm |
| A. | Naive Bayes |
| B. | TFIDF |
| C. | Probabilistic Indexing |
| D. | Indexbased |
| Answer» D. Indexbased | |
| 181. |
A common tool kit used for classification is__________ |
| A. | Bridges |
| B. | Rainbow |
| C. | Naive Bayes |
| D. | TFIDF |
| Answer» B. Rainbow | |
| 182. |
The problem of network clustering is closely related to the traditional problem of ___________ |
| A. | edge partitioning |
| B. | node partitioning |
| C. | graph partitioning |
| D. | vector partitioning |
| Answer» C. graph partitioning | |
| 183. |
Major challenge which arises in the context of social networks is that many such networks are______________ |
| A. | homogeneous |
| B. | heterogeneous |
| C. | unstructured |
| D. | semistructured |
| Answer» B. heterogeneous | |
| 184. |
The primary idea in___________ is that data mining problems have varying levels of diffculty in different domains |
| A. | clustering |
| B. | classification |
| C. | transfer learning |
| D. | keyword search |
| Answer» C. transfer learning | |
| 185. |
Supervised approaches depend on some a-priori knowledge of the data which are___________ |
| A. | Class ids |
| B. | Class labels |
| C. | Classifiers |
| D. | None |
| Answer» B. Class labels | |
| 186. |
Clustering is a common____________ data mining technique |
| A. | unsupervised |
| B. | Supervised |
| C. | both |
| D. | None |
| Answer» A. unsupervised | |
| 187. |
Following is not a mining technique. |
| A. | Bayesian classification |
| B. | rule-based classifier |
| C. | support vector machines, |
| D. | ObjectRanking |
| Answer» D. ObjectRanking | |
| 188. |
Which of the following is not a data mining functionality?
|
| A. | Characterization and Discrimination |
| B. | Classification and regression |
| C. | Selection and interpretation |
| D. | Clustering and Analysis |
| Answer» C. Selection and interpretation | |
| 189. |
The out put of KDD is____________
|
| A. | Data |
| B. | Information |
| C. | Query |
| D. | Useful information |
| Answer» D. Useful information | |
| 190. |
________________ is the process of finding a model that describes and distinguishes data classes or concepts.
|
| A. | Data Characterization |
| B. | Data Classification |
| C. | Data discrimination |
| D. | Data selection |
| Answer» B. Data Classification | |
| 191. |
Strategic value of data mining is____________ |
| A. | cost-sensitive |
| B. | work-sensitive |
| C. | time-sensitive |
| D. | technique-sensitive |
| Answer» C. time-sensitive | |
| 192. |
_______________ is a summarization of the general characteristics or features of a target class of data. |
| A. | Data Classification |
| B. | Data discrimination |
| C. | Data selection |
| D. | Data Characterization |
| Answer» D. Data Characterization | |
| 193. |
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 |
| Answer» A. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. | |
| 194. |
Self-organizing maps are an example of____________
|
| A. | Unsupervised learning |
| B. | Supervised learning |
| C. | Reinforcement learning |
| D. | Missing data imputation |
| Answer» A. Unsupervised learning | |
| 195. |
Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of_______ |
| A. | Supervised learning |
| B. | Data extraction |
| C. | Serration |
| D. | Unsupervised learning |
| Answer» D. Unsupervised learning | |
| 196. |
The________ centrality measure does not allow for centrality values to be compared across networks |
| A. | Eigenvector |
| B. | Katz |
| C. | degree |
| D. | None |
| Answer» C. degree | |
| 197. |
Eigenvector centrality takes eigen vector of ____________ |
| A. | adjacency matrix |
| B. | Neighbouring matrix |
| C. | polling matrix |
| D. | All of Above |
| Answer» A. adjacency matrix | |
| 198. |
When bias term is added to the centrality values for all nodes no matter how they are situated in the network it is called_______ |
| A. | Eigenvector |
| B. | Katz |
| C. | degree |
| D. | None |
| Answer» B. Katz | |
| 199. |
__________algorithm is more effective for betweenness centrality. |
| A. | adjacency matrix |
| B. | Dijkstra\s |
| C. | Neighbouring matrix |
| D. | Brandes\ |
| Answer» D. Brandes\ | |
| 200. |
In____________centrality, the intuition is that the more central nodes are, the more quickly they can reach other nodes. |
| A. | Eigenvector |
| B. | Katz |
| C. | Closeness |
| D. | degree |
| Answer» C. Closeness | |
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