Reliable DA0-001 Dumps Questions Available as Web-Based Practice Test Engine [Q105-Q121]

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Reliable DA0-001 Dumps Questions Available as Web-Based Practice Test Engine

Correct and Up-to-date CompTIA DA0-001 BrainDumps

CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is an industry-recognized certification that validates the skills and knowledge of professionals in the field of data management. CompTIA Data+ Certification Exam certification is designed for individuals who are responsible for managing, analyzing, and interpreting data in various organizations. Passing the DA0-001 exam demonstrates that an individual has the expertise to work with data in a secure, efficient, and scalable manner.

CompTIA DA0-001 certification exam is a challenging test that requires dedication and preparation. DA0-001 exam consists of 90 multiple-choice questions that candidates need to complete within 90 minutes. Candidates need to score at least 720 out of 900 to pass the exam. CompTIA Data+ Certification Exam certification is valid for three years, and candidates need to renew it through continuing education or retaking the exam. Overall, the CompTIA DA0-001 certification exam is an excellent way for professionals to demonstrate their expertise in data management and advance their careers.

NO.105 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?

Include a line chart using the site and average sales per customer.

Include a pie chart using the site and sales to average sales per customer.

Include a scatter chart using sales volume and average sales per customer.

Include a column chart using the site and sales to average sales per customer.

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.

NO.106 A data analyst who works for a government agency is required to obtain the average income of citizens. The list of citizens is given in the following table:

A value for one citizen’s income is missing. Which of the following approaches should the data analyst take to solve this issue?

Replace the missing value with the average of the rest of the unemployed citizens.

Insert the value 0 into the field with the missing value.

Impute the mean of the other citizens’ incomes into the field with the missing value.

Exclude employed citizens from the analysis.

NO.107 Which of the following contains alphanumeric values?

10.12

13.6

1347

A3J7

NO.108 A customer’s telephone number is in the format 123-456-7890. Which of the following data types is used for the phone number?

Boolean

Date

Text

Number

NO.109 Given the following graph:

Which of the following summary statements upholds integrity in data reporting?

Sales are approximately equal for Product A and Product B across all strategies.

Strategy 4 provides the best sales in comparison to other strategies.

While Strategy 2 does not result in the highest sales of Product D, over all products it appears to be the most effective.

Product D should be promoted more than the other products in all strategies.

NO.110 An analyst is reporting on the average income for a county and is reviewing the following data:

Which of the following is the reason the analyst would need to cleanse the data in this data set?

Data completeness

Data outliers

Duplicate data

Missing values

NO.111 Given the following customer and order tables:
Which of the following describes the number of rows and columns of data that would be present after performing an INNER JOIN of the tables?

Five rows, eight columns

Seven rows, eight columns

Eight rows, seven columns

Nine rows, five columns

NO.112 Which of the following is an example of a discrete variable?

The temperature of a hot tub

The height of a horse

The time to complete a task

The number of people in an office

NO.113 Which of the following explains why standardization of data field names is important to master data management concepts?

The quality of the data is consistent and improved.

The data looks more appealing.

The colors in data visualization are enhanced.

The data is decompressed.

NO.114 A data analyst needs to calculate the mean for Q1 sales using the data set below:

Which of the following is the mean?

$2,466.18

$2,667.60

$3,082.72

$12,330.88

NO.115 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?

Include a bar chart using the site and the percentage of new customers data.

Include a line chart using the site and the percentage of new customers data.

Include a pie chat using the site and percentage of new customers data.

Include a scatter chart using the site and the percent of new customers data.

Explanation
This is because 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 the percentage of new customers for different sites 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 site has the highest or lowest percentage of new customers, as well as show how much each site contributes to the total percentage of new customers. The other types of charts are not the best charts to display the data. Here is why:
A line chart is a type of chart that shows the change or the trend of a single variable over time, such as the percentage of new customers over months or years in this case. A line chart can be used to display and analyze the movement, cycle, or pattern of the variable, as well as identify any peaks, valleys, or fluctuations in the data. For example, a line chart can show how the percentage of new customers increases or decreases over time, as well as show if there are any seasonal or periodic variations in the data.
A pie chart is a type of chart that shows the proportion or the percentage of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A pie chart can be used to display and analyze the composition, distribution, or share of the variable, as well as identify any segments, slices, or fractions in the data. For example, a pie chart can show how much each site represents of the total percentage of new customers, as well as show if there are any dominant or minor sites in the data.
A scatter chart is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as the percentage of new customers and another variable for each site in this case. A scatter chart 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 chart can show if there is a positive, negative, or no correlation between the percentage of new customers and another variable, such as sales revenue or customer satisfaction.

NO.116 Which of the following data analysis tools increases the efficiency of data visualizations?

SQL

Microsoft Excel

SAS

RapidMiner

NO.117 A reporting analyst is creating a dashboard that shows the year-over-year performance for a sales organization. Which of the following is the best visual for the analyst use to illustrate the organization’s performance?

Pie chart

Scatter plot

Heat map

Line chart

NO.118 A company wants to know how its customers interact with an e-commerce website based on clicks over items.
Which of the following is the primary requirement for this report?

Data content

Frequency

Filtering

Views

NO.119 An analyst is designing a dashboard that will provide a story of the sales and sales customer ratio. The following data is available:

Which of the following charts should the analyst consider including in the dashboard?

A column chart with site and sales

A line chart with site and sales

A pie chart with site and sales

A scatter chart with site and sales

NO.120 A database administrator is required to mask certain table columns containing PII in order to comply with the company privacy policy. Which of the following are the most likely types of information the administrator should mask? (Select two).

Government-issued ID

Address

Order ID

Order date

Customer ID

Referral number

NO.121 Which of the following programming languages are best suited for analysis and machine-learning applications? (Select two).

Ruby

Rust

PHP

Python

Kotlin

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