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DA0-001 Exam Resources & DA0-001 Best Questions & DA0-001 Exam Dumps

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CompTIA Data+ Certification Exam Sample Questions (Q211-Q216):

NEW QUESTION # 211
A data analyst has received a data set that contains actual and projected sales for the fourth quarter of 2019.
Which of the following statistical methods should the analyst use to find the measure of dispersion?

A. Confidence interval
B. Variance
C. Correlation
D. Mean

Answer: B

Explanation:
The measure of dispersion is used to describe the spread of data around a central value. In the context of a data set containing actual and projected sales, the measure of dispersion will help to understand the variability or consistency of sales figures. The variance is the most appropriate statistical method for finding the measure of dispersion because it calculates the average of the squared differences from the Mean, providing a clear picture of data spread. It is especially useful in comparing the spread between different data sets and understanding the distribution of data points.
* Mean is a measure of central tendency, not dispersion.
* Correlation measures the relationship between two variables, not the spread of a single variable.
* Confidence intervals are used to estimate the range within which a population parameter will fall, but they do not measure dispersion within the data set itself.
References:
* Measures of Dispersion in Statistics1
* Measures of Dispersion - Definition, Formulas, Examples2
* Statistical dispersion - Wikipedia3

NEW QUESTION # 212
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?

A. Include a column chart using the site and sales to average sales per customer.
B. Include a scatter chart using sales volume and average sales per customer.
C. Include a line chart using the site and average sales per customer.
D. Include a pie chart using the site and sales to average sales per customer.

Answer: A

Explanation:
Explanation
The best type of chart to display the data is D. Include a column chart using the site and sales to average sales per customer.
A column chart is a good choice for comparing categorical data with numerical data, such as the site and sales to average sales per customer. A column chart can show the relative differences between the sites and highlight the site with the highest sales volume per customer. A column chart can also be easily labeled and formatted to make the data clear and understandable.
A line chart is not suitable for this data, because it is used to show trends or changes over time, which is not relevant for the site and sales to average sales per customer data. A line chart would also be confusing and misleading, as it would imply a connection or correlation between the sites that does not exist.
A pie chart is also not a good choice for this data, because it is used to show the proportion of a whole, not the comparison of different categories. A pie chart would also be difficult to read and interpret, as it would require labels or legends to identify the sites and their sales to average sales per customer. A pie chart would also not be able to show the exact values of the sales to average sales per customer, only their relative sizes.
A scatter chart is another inappropriate option for this data, because it is used to show the relationship or correlation between two numerical variables, not between a categorical and a numerical variable. A scatter chart would also be cluttered and unclear, as it would plot each site as a point on a coordinate plane, without any labels or axes. A scatter chart would also not be able to show the differences or rankings between the sites and their sales to average sales per customer.

NEW QUESTION # 213
An analyst for a small business with multiple locations is using each location's quarterly sales reports from last year to create a single revenue report for the year. Which of the following data mining techniques should the analyst use to complete this task?

A. Data merge
B. Data blending
C. Data append
D. Data imputation

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:
To compile a comprehensive annual revenue report from multiple quarterly sales reports, the analyst should integrate the datasets appropriately:
* Data Merge: This technique involves combining datasets based on common fields or keys. In this scenario, merging would align data from different quarters based on shared attributes, such as location identifiers, to create a unified dataset.
* Data Append: Appending adds datasets sequentially, stacking them on top of each other. While this could combine the reports, it doesn't ensure integration based on common fields, which is necessary for accurate analysis.
* Data Blending: Blending combines data from different sources or formats. If the quarterly reports are in varied formats or from different systems, blending would be appropriate. However, if they share the same structure, blending isn't necessary.
* Data Imputation: Imputation addresses missing or incomplete data by filling in gaps. This technique isn't relevant to combining complete quarterly reports.
Therefore, merging the data ensures that all quarterly reports are integrated based on common fields, providing a cohesive annual revenue report.

NEW QUESTION # 214
Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?

A. Build a mock dashboard/presentation layout.
B. Determine the data necessary for the analysis.
C. Rephrase the business requirement.
D. Perform exploratory data analysis.

Answer: B

Explanation:
Exploratory data analysis (EDA) is a process of examining and summarizing a dataset using various techniques, such as descriptive statistics, visualizations, correlations, outliers detection, and hypothesis testing. EDA can help reveal the main characteristics, patterns, trends, and insights from the data, as well as identify any problems or issues with the data quality or structure. EDA is usually performed after understanding a business requirement for a data analysis report and before building a mock dashboard
/presentation layout. Therefore, the correct answer is B. References: [What is Exploratory Data Analysis? | Definition and Examples], [Exploratory Data Analysis in Python]

NEW QUESTION # 215
A data analyst is working with a team to create a dashboard for a client who requires on-demand access.
Which of the following is the best delivery method to support the clients' requirement?

A. Static
B. Scheduled
C. Subscription
D. Email

Answer: C

Explanation:
The best delivery method to support the client's requirement is C. Subscription.
Short explanation: A subscription is a delivery method that allows the client to access the dashboard on- demand, whenever they need it. A subscription can be set up by the data analyst or the client themselves, and it can be configured to send an email notification when the dashboard is updated or refreshed. A subscription also allows the client to view the dashboard online or download it as a file format of their choice12 A: Email is not the best delivery method because it does not allow the client to access the dashboard on- demand. Email deliveries are sent at a fixed time or frequency, and they may not reflect the latest data or changes in the dashboard. Email deliveries also have limitations on the file size and format of the dashboard attachments1 B: Scheduled is not the best delivery method because it does not allow the client to access the dashboard on- demand. Scheduled deliveries are similar to email deliveries, except that they are triggered by a specific event or condition, such as a data update or a threshold value. Scheduled deliveries also have the same limitations as email deliveries on the file size and format of the dashboard attachments1 D: Static is not the best delivery method because it does not allow the client to access the dashboard on- demand. Static deliveries are one-time deliveries that are manually generated by the data analyst or the client.
Static deliveries do not update or refresh automatically, and they may become outdated or irrelevant over time. Static deliveries also have limitations on the file size and format of the dashboard files3

NEW QUESTION # 216
......

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