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CompTIA DA0-001 certification exam is a highly respected certification that validates the data management skills of professionals. It is an excellent certification for individuals who want to showcase their expertise in data management and analysis. By obtaining this certification, professionals can enhance their career opportunities and improve their chances of getting hired by top companies in the industry.
CompTIA DA0-001 exam is a challenging certification exam that requires individuals to have a solid understanding of data management concepts and practices. DA0-001 Exam consists of 80 multiple-choice questions that must be answered within 90 minutes. To pass the exam, individuals must score at least 720 out of 900 points. DA0-001 exam is available in several languages and can be taken online or at a testing center. Achieving the CompTIA Data+ certification can help individuals stand out in the job market, increase their earning potential, and open up new career opportunities in the field of data management.
Most of the candidates who plan to take the DA0-001 certification exam lack updated practice questions to ace it on the first attempt. Due to this, they fail the CompTIA Data+ Certification Exam (DA0-001) test, losing money and time. And in some cases, applicants fail on the second attempt as well because they don't prepare with DA0-001 Actual Exam questions. This results in not only the loss of resources but also the motivation of the candidate.
| Number of Questions | 90 |
| Duration | 90 mins |
| Books / Training | CompTIA Data+ Certification Training |
| Passing Score | 675 / 900 |
| Exam Price | $239 (USD) |
| Exam Name | CompTIA Data+ |
| Schedule Exam | Pearson VUE |
| Sample Questions | CompTIA Data+ Sample Questions |
NEW QUESTION # 211
A data analyst is designing a dashboard that will provide a story of sales and determine which site is providing the highest sales volume per customer. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered?
Answer: A
Explanation:
Explanation
A scatter chart using sales volume and average sales per customer is the best type of chart to include in the dashboard. A scatter chart is a type of chart that displays the relationship between two numerical variables using dots or markers. A scatter chart can show how one variable affects another, how strong the correlation is between them, and how the data points are distributed. In this case, a scatter chart can show the story of sales and determine which site is providing the highest sales volume per customer by plotting the sales volume on the x-axis and the average sales per customer on the y-axis. Each dot on the chart will represent a site, and the analyst can easily compare the sites based on their position on the chart. A site with a high sales volume and a high average sales per customer will be in the upper right quadrant, indicating a high performance. A site with a low sales volume and a low average sales per customer will be in the lower left quadrant, indicating a low performance. A site with a high sales volume and a low average sales per customer will be in the lower right quadrant, indicating a high volume but low value. A site with a low sales volume and a high average sales per customer will be in the upper left quadrant, indicating a low volume but high value. A scatter chart can also show if there is a positive or negative correlation between the two variables, or if there is no correlation at all.
A positive correlation means that as one variable increases, so does the other. A negative correlation means that as one variable increases, the other decreases. No correlation means that there is no relationship between the two variables.
The other types of charts are not as suitable for this purpose. A line chart is a type of chart that displays the change of one or more variables over time using lines. A line chart can show trends, patterns, and fluctuations in the data. However, in this case, there is no time variable involved, so a line chart would not be appropriate.
A pie chart is a type of chart that displays the proportion of each category in a whole using slices of a circle. A pie chart can show how each category contributes to the total and compare the relative sizes of each category.
However, in this case, there are two numerical variables involved, so a pie chart would not be able to show their relationship. A column chart is a type of chart that displays the comparison of one or more variables across categories using vertical bars. A column chart can show how each category differs from each other and rank them by size. However, in this case, a column chart would not be able to show the relationship between sales volume and average sales per customer, as it would only show one variable for each site.
NEW QUESTION # 212
An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered to BEST display the data?
Answer: C
NEW QUESTION # 213
Which of the following BEST describes the issue in which character values are mixed with integer values in a data set column?
Answer: B
Explanation:
Explanation
The invalid data type is the best description for the issue in which character values are mixed with integer values in a data set column. Invalid data type means that the data does not match the expected or required format or structure for a given variable or attribute. For example, if a column is supposed to store numerical values, but some rows contain text values, then those rows have an invalid data type. References: CompTIA Data+ Certification Exam Objectives, page 10
NEW QUESTION # 214
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?
Answer: D
Explanation:
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 # 215
Which of the following is most likely to be used as a data-mining ETL tool?
Answer: D
NEW QUESTION # 216
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