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Pass Guaranteed Quiz DA0-001 - Perfect CompTIA Data+ Certification Exam Valid Study Questions

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CompTIA Data+ Certification Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
A data set for sales per month includes the following data:

Which of the following cleaning and profiling methods should be applied to the data set?

A. Data type validation
B. Invalid data
C. Data outliers
D. Duplicate data

Answer: B

NEW QUESTION # 15
A data analyst has a set of data that shows the number of gallons of oil produced each day. The company would like to know the standard deviation for the data set. The variance for the data is 36 gallons. Which of the following is the standard deviation for gallons produced?

A. 1.16
B. 0
C. 1
D. 2

Answer: B

Explanation:
The standard deviation is a measure of the amount of variation or dispersion in a set of values. It is calculated as the square root of the variance. Given that the variance for the data set is 36 gallons, the standard deviation can be found by taking the square root of 36, which is 6. Therefore, the standard deviation for the number of gallons of oil produced each day is 6 gallons.
Reference:
The concept of standard deviation and its calculation is a fundamental aspect of statistics, which is well-documented in statistical textbooks and resources.
The calculation performed to arrive at the answer is based on the mathematical operation of taking the square root of the variance value.

NEW QUESTION # 16
Which of the following contains alphanumeric values?

A. A3J7
B. 0
C. 13.6
D. 10.1E

Answer: A

NEW QUESTION # 17
A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:

Which of the following charts would BEST represent the relationship between the variables?

A. A bar chart
B. A histogram
C. A heat map
D. A scatter plot

Answer: D

Explanation:
This is because a scatter plot is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as study hours and exam scores for each student in this case. A scatter plot can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter plot can show if there is a positive, negative, or no correlation between study hours and exam scores, as well as show if there are any students who have unusually high or low exam scores compared to their study hours. The other charts are not the best charts to represent the relationship between the variables. Here is why:
* A histogram is a type of chart that shows the frequency or the count of values in a single variable for different intervals or bins, such as exam scores for different ranges in this case. A histogram can be used to display and analyze the distribution, shape, or spread of the variable, as well as identify any gaps, peaks, or skewness in the data. For example, a histogram can show if most students have high, low, or average exam scores, as well as show if there are any intervals that have no students at all.
* A heat map is a type of chart that shows the intensity or the magnitude of values in two variables for different categories or groups, such as exam scores and study hours for different student names in this case. A heat map can be used to display and analyze the variation, contrast, or comparison among the categories or groups, as well as identify any hot spots, cold spots, or gradients in the data. For example, a heat map can show which students have higher or lower exam scores and study hours than others, as well as show if there is a color pattern that indicates a relationship between exam scores and study hours.
* A bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as exam scores for different student names in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which students have higher or lower exam scores than others, as well as show if there are any students who have exceptionally high or low exam scores.

NEW QUESTION # 18
A data analyst is developing a dashboard to track and monitor metrics. Which of the following best practices should be taken into during the FIRST pment process?

A. Deploy to production.
B. Copy a dashboard design from the Internet.
C. Create a A Aupirarrame:
D. Develop a dashboard.

Answer: C

Explanation:
A dashboard is a graphical display that summarizes and presents key performance indicators (KPIs) and metrics for a business or a project. A dashboard should be clear, concise, and easy to understand. To develop a dashboard, one of the best practices is to create a wireframe or a mockup first. A wireframe or a mockup is a low-fidelity sketch or prototype of the dashboard layout and design, which helps to define the scope, requirements, and functionality of the dashboard. Creating a wireframe or a mockup can help to save time and resources, as well as to get feedback from stakeholders and users before deploying the dashboard to production. Therefore, the correct answer is A. Reference: [Dashboard Design Best Practices: 4 Key Principles | Toptal], [How to Create an Effective Dashboard (with Examples) | Tableau]

NEW QUESTION # 19
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