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Exam DA0-001 topic 1 question 30 discussion

Actual exam question from CompTIA's DA0-001
Question #: 30
Topic #: 1
[All DA0-001 Questions]

An analyst has been tracking company intranet usage and has been asked to create a chat to show the most-used/most-clicked portions of a homepage that contains more than 30 links. Which of the following visualizations would BEST illustrate this information?

  • A. Scatter plot
  • B. Heat map
  • C. Pie chart
  • D. Infographic
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Suggested Answer: B 🗳️

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ronniehaang
9 months ago
Selected Answer: B
B. Heat map would BEST illustrate this information. A heat map visually represents data using colors to indicate the intensity of the data at different points on a scale. In this case, the color can indicate the frequency of clicks or usage on the homepage links. This type of visualization allows for easy identification of the most-used or most-clicked portions of the homepage, which is the information being asked for.
upvoted 3 times
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Hiromi_Nakatani
9 months, 1 week ago
Selected Answer: B
B. Heat map
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CineFeX
10 months, 1 week ago
A heat map is a visual representation of data that uses color to encode values. It is often used to show patterns or trends in data, and it can be a useful tool for illustrating the most-used or most-clicked portions of a homepage. In the case of an analyst who has been tracking company intranet usage and has been asked to create a chart to show the most-used or most-clicked portions of a homepage that contains more than 30 links, a heat map would be the best visualization to illustrate this information. The heat map could use color to encode the number of clicks or usage for each link, with warmer colors indicating higher levels of usage and cooler colors indicating lower levels of usage. This would allow the analyst to quickly identify the most popular links on the homepage. The other options (scatter plot, pie chart, and infographic) are not as well suited to illustrating the most-used or most-clicked portions of a homepage, as they do not use color to encode data values and may not be as effective at showing patterns or trends.
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