
Dell Data Science Optimize
Domain 4Objective 1
SNA and Graph Theory DATA-SCIENCE-OPTIMIZE Practice Questions (Page 1)
Part of the Social Network Analysis (SNA) domain, which accounts for 23% of the DATA-SCIENCE-OPTIMIZE exam.
20questions here
4free pages
6concepts
23%of the exam
Questions 1–5
- 1
A data scientist is analyzing a network where community detection is needed, but the network is very large (millions of nodes). They need an algorithm that is scalable and efficient. Which algorithm is most appropriate?
Select an answer first - 2
A social network analyst is comparing two nodes in a network. Node A has a high degree centrality but low betweenness centrality. Node B has a low degree centrality but high betweenness centrality. Which node is more likely to act as a broker between different groups?
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What is the main purpose of network visualization in social network analysis?
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What does closeness centrality measure for a node?
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A network has 8 nodes and 10 edges. The network is connected. What is the minimum number of edges that must be removed to disconnect the network?
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