Social Media Analytics (SMA) Solved MCQs


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

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.

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

____________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

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

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

What is the name of Facebook's Analytics tool?

A. facebook analytics
B. edge rank
C. page rank
D. insights
Answer» D. insights

What is CTR?

A. cost through rate
B. click table rate
C. click through rate
D. clicks through rate
Answer» C. click through rate

Which of the following clustering requires merging approach?

A. Partitional
B. Hierarchical
C. Naive Bayes
D. None of the mentioned
Answer» B. Hierarchical

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

Hierarchical clustering should be primarily used for exploration.

A. true
B. false
Answer» A. true

Following are applications of text mining

A. Classification
B. clustering
C. keyword search
D. All Above
Answer» D. All Above

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

In ___________problems nodes in Social n/w associated with labels

A. keyword search
B. clustering
C. Classification
D. mining
Answer» C. Classification

Most well-known keyword search algorithm for relational data is _______

B. DBX-plorer
C. None of the above
D. Both A & B
Answer» D. Both A & B

_____________applies authority-based ranking to keyword search on labeled graphs,

A. ObjectRank Algorithm
B. Indexbased map
C. nodekeyword map
Answer» A. ObjectRank Algorithm

Which is not classification algorithm?

A. Naive Bayes
C. Probabilistic Indexing
D. Indexbased
Answer» D. Indexbased

Data mining is also known as___________

Answer» B. KDD

Clustering is a common____________ data mining technique

A. Supervised
B. Unsupervised
C. both A & B
D. None
Answer» B. Unsupervised

___________ 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

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

_____________ 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

_______________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.

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

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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