1.4.3 Module 1 Quiz – Experience Analytics Exam Answers Full 100% 2023 2024
1.4.3 Module 1 Quiz – Experience Analytics Exam Answers consist of all questions and answers with clear explanations. To get full 100%, you have to review all these questions below.
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What is an example of structured data?
- Data entered into spreadsheets
- Digital photos
- Content found on web pages
- Electronic journals
Answers Explanation & Hints:
An example of structured data would be data entered into spreadsheets. Spreadsheets are designed to organize data into rows and columns, with each cell containing a specific piece of information. This allows for easy sorting, filtering, and analysis of the data. Digital photos, content found on web pages, and electronic journals are typically unstructured data, meaning they do not have a predefined format or organization.
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What are two examples of unstructured data? (Choose two.)
- Video content
- User account data
- SQL queries
- Blog entry
- Customer account spreadsheet
Answers Explanation & Hints:
Two examples of unstructured data are video content and blog entry.
Video content is typically unstructured because it does not have a predefined format or organization. While there may be some metadata associated with the video file, the actual content of the video is not structured in a way that allows for easy analysis or manipulation.
A blog entry is also unstructured data because it is typically written in free-form text with no specific format or organization. While there may be some metadata associated with the blog post (such as the author and date published), the content of the post itself is unstructured.
User account data, SQL queries, and customer account spreadsheets are typically structured data because they have a predefined format and organization that allows for easy analysis and manipulation.
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Which statement is an accurate description of discrete variables?
- Discrete variables are qualitative and consist of two or more categories in which order matters.
- They are quantitative with a continuous range of values.
- They are quantitative with a finite set of values.
- They are qualitative and consist of two or more categories of values in which order does not matter.
Answers Explanation & Hints:
The accurate statement that describes discrete variables is “They are quantitative with a finite set of values.” Discrete variables are a type of quantitative variable, meaning they are measured numerically. However, unlike continuous variables which can take any value within a given range, discrete variables can only take on a finite set of values. Examples of discrete variables include the number of children in a family, the number of pets a person owns, and the number of siblings a person has.
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A sales department is analyzing the sales trend for one of their best products. They collected quarterly sales number over the past five years and want to plot the data in a graphical format for quick analysis and interpretation. Which one is NOT a good way to visualize?
- Pie chart
- Bar chart
- Line chart
- Column chart
Answers Explanation & Hints:
Pie chart is not a good way to visualize the sales trend for a product over time. A pie chart is typically used to display the proportion of different categories within a single data point, rather than showing changes over time. In this case, a line chart or column chart would be a better choice as they are more suitable for visualizing trends over time. A bar chart could also be used to compare the sales for different quarters in each year.
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An online e-commerce shopping site collects sales data to help improve their operation and profits. Which data type would be used to record the number of products purchased by a customer?
- String
- Integer
- Floating point
- Date and time
Answers Explanation & Hints:
The data type that would be used to record the number of products purchased by a customer is an integer. An integer is a data type that represents whole numbers, such as 1, 2, 3, and so on. In the context of e-commerce sales data, integers are commonly used to represent quantities of products purchased, as it would not make sense to record the number of products as a decimal or a string. For example, if a customer purchased three products, the integer value 3 would be used to record this information in the sales data.