IIBA Exam CBDA Topic 4 Question 28 Discussion

Actual exam question for IIBA's CBDA exam

Question #: 28
Topic #: 4

[All CBDA Questions]

A lab is conducting a study on protein interactions. They have used the data to create a graph visualization. In graph visualization, what would an edge represent?

AA single datapoint

BA link between two datapoints

CA collection of datapoints and links

DA dedicated algorithm that calculates the node positions
Explanation:
A graph visualization is a type of visualization that shows the relationships among data points by using nodes (or vertices) to represent the data points and edges (or links) to represent the connections between them1.A graph visualization can help reveal patterns, clusters, outliers, or hierarchies in the data2.In a graph visualization, an edge represents a link between two data points, indicating that they have some kind of association, interaction, similarity, or dependency3.For example, in a study on protein interactions, an edge could represent a physical or functional interaction between two proteins, such as binding, signaling, or regulation4.
A single data point, a collection of data points and links, and a dedicated algorithm that calculates the node positions are not correct definitions of an edge in a graph visualization. A single data point is represented by a node, not an edge, in a graph visualization. A collection of data points and links is the whole graph, not an edge, in a graph visualization. A dedicated algorithm that calculates the node positions is a method of graph layout, not an edge, in a graph visualization.A graph layout is the way the nodes and edges are arranged in a graph visualization, which can affect the readability, aesthetics, and interpretation of the graph.

Show Suggested Answer

Suggested Answer: C

Covariance measures the directional relationship between the returns on two assets. A positive covariance means that asset returns move together while a negative covariance means they move inversely. Zero covariance indicates that the returns on the two assets move independently of each other. In the context of a scatter plot, zero covariance is represented by a plot where the points do not show any upward or downward trend but are rather scattered randomly on the graph with no discernible pattern.

Graph 4 displays such a pattern where there is no apparent relationship between the variables on the x and y axes, indicating that there is zero covariance between them.

by Major at Dec 04, 2024, 02:31 PM

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Claudio

17 days ago

I'm just impressed they're using graph visualizations in a protein study. That's some serious data analysis going on. *whistles* Glad I didn't have to take this exam, though. I'll stick to my spreadsheets, thank you very much.

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Glory

21 days ago

Hah, I can already picture the poor lab technicians trying to explain the difference between a node and an edge to their supervisor. Graph theory can get a bit tricky, but this question is a piece of cake.

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Adelina

22 days ago

Hmm, I was leaning towards C, but after reading the explanation, B makes the most sense. Gotta love these graph visualizations and their ability to reveal the hidden relationships in the data.

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Dominga

28 days ago

Aha, the answer is clearly B! An edge represents the connection between two data points, like the interactions between proteins. Pretty straightforward, if you ask me.

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