| 1. |
Data that has been generated with no connection to the Internet, and then registered into a system, which may be accessed via the Internet later called |
| A. | offline originated data |
| B. | online originated data |
| C. | both a & b |
| D. | none of the above |
| Answer» A. offline originated data | |
| 2. |
What is one of the big differences between traditional media and social media? |
| A. | participatory production. |
| B. | social media reaches only a few people at a time. |
| C. | the management structure of the companies. |
| D. | traditional media offers no way for audiences to communicate with media producers. |
| Answer» A. participatory production. | |
| 3. |
Estimated metrics include …………. which provide the number of times a user has potentially seen a certain piece of content or advertising. |
| A. | views |
| B. | impressions |
| C. | reach |
| D. | all of the above |
| Answer» D. all of the above | |
| 4. |
____________is a very fragile and unstable way of gathering data, because when anything changes on the web site, the source code is changed, |
| A. | data mining |
| B. | web crawling/scraping |
| C. | both a & b |
| D. | none of the above |
| Answer» B. web crawling/scraping | |
| 5. |
It allows a programmer to see a clear structure of the information that is stored in the application Called |
| A. | api |
| B. | program |
| C. | data |
| D. | none of the above |
| Answer» A. api | |
| 6. |
In terms of Facebook's ranking algorithm, what does "weight" refer to? |
| A. | the amount of comments, likes, etc. a content post receives |
| B. | how often a profile produces content |
| C. | how many highly ranked content posts a profile has in a given week |
| D. | how many followers/friends a company has |
| Answer» A. the amount of comments, likes, etc. a content post receives | |
| 7. |
What is the name of Facebook's Analytics tool? |
| A. | facebook analytics |
| B. | edge rank |
| C. | page rank |
| D. | insights |
| Answer» D. insights | |
| 8. |
What is CTR? |
| A. | cost through rate |
| B. | click table rate |
| C. | click through rate |
| D. | clicks through rate |
| Answer» C. click through rate | |
| 9. |
Which of the following clustering requires merging approach? |
| A. | Partitional |
| B. | Hierarchical |
| C. | Naive Bayes |
| D. | None of the mentioned |
| Answer» B. Hierarchical | |
| 10. |
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 | |
| 11. |
Hierarchical clustering should be primarily used for exploration. |
| A. | true |
| B. | false |
| Answer» A. true | |
| 12. |
Following are applications of text mining |
| A. | Classification |
| B. | clustering |
| C. | keyword search |
| D. | All Above |
| Answer» D. All Above | |
| 13. |
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 | |
| 14. |
In ___________problems nodes in Social n/w associated with labels |
| A. | keyword search |
| B. | clustering |
| C. | Classification |
| D. | mining |
| Answer» C. Classification | |
| 15. |
Most well-known keyword search algorithm for relational data is _______ |
| A. | DISCOVER |
| B. | DBX-plorer |
| C. | None of the above |
| D. | Both A & B |
| Answer» D. Both A & B | |
| 16. |
_____________applies authority-based ranking to keyword search on labeled graphs, |
| A. | ObjectRank Algorithm |
| B. | Indexbased map |
| C. | nodekeyword map |
| D. | DISCOVER |
| Answer» A. ObjectRank Algorithm | |
| 17. |
Which is not classification algorithm? |
| A. | Naive Bayes |
| B. | TFIDF |
| C. | Probabilistic Indexing |
| D. | Indexbased |
| Answer» D. Indexbased | |
| 18. |
Data mining is also known as___________ |
| A. | FDD |
| B. | KDD |
| C. | MDD |
| D. | NDD |
| Answer» B. KDD | |
| 19. |
Clustering is a common____________ data mining technique |
| A. | Supervised |
| B. | Unsupervised |
| C. | both A & B |
| D. | None |
| Answer» B. Unsupervised | |
| 20. |
___________ is an essential process where intelligent methods are applied to extract data patterns. |
| A. | Data warehousing |
| B. | Data mining |
| C. | Text mining |
| D. | Data selection |
| Answer» B. Data mining | |
| 21. |
Data ................... is the process of finding a model that describes and distinguishes data classes or concepts. |
| A. | Characterization |
| B. | Mining |
| C. | clustering |
| D. | Classification |
| Answer» D. Classification | |
| 22. |
_____________ 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» B. Multimedia Mining | |
| 23. |
_______________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. | |
| 24. |
What are the different measures of centrality? |
| A. | Degree centrality |
| B. | Closeness centrality |
| C. | Eigen vector centrality |
| D. | All of the above |
| Answer» D. All of the above | |
| 25. |
Degree centrality is defined as |
| A. | The ratio of number of neighbors of the vertex with total number of possible neighbors |
| B. | Central nodes of all the given nodes in networks |
| C. | Total number of nodes in the given network |
| D. | None of the above |
| Answer» A. The ratio of number of neighbors of the vertex with total number of possible neighbors | |
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