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CompTIA DA0-001 certification exam is an excellent option for individuals who want to build a career in data analysis. CompTIA Data+ Certification Exam certification is recognized globally and offers a wide range of benefits to those who pass the exam. If you are interested in taking the exam, you should have some experience in data analysis and a good understanding of various data analysis techniques, tools, and technologies.

CompTIA DA0-001 certification is vendor-neutral, which means that it is not tied to any specific technology or platform. This makes it an ideal certification for professionals who work in a variety of industries, including healthcare, finance, and government. CompTIA Data+ Certification Exam certification is also suitable for professionals who work with big data and want to gain a deeper understanding of how to manage and analyze large datasets. CompTIA Data+ Certification Exam certification exam is designed to test an individual's proficiency in data management, data analysis, and data security, and passing the exam demonstrates a high level of competency in these areas.

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CompTIA Data+ Certification Exam Sample Questions (Q325-Q330):

NEW QUESTION # 325
An analyst is required to run a text analysis of data that is found in articles from a digital news outlet. Which of the following would be the BEST technique for the analyst to apply to acquire the data?

A. Data wrangling
B. Sampling
C. ETL
D. Web scraping

Answer: D

Explanation:
Explanation
This is because web scraping is a technique that allows the analyst to extract data from web pages, such as articles from a digital news outlet. Web scraping can be done using various tools and methods, such as Python libraries, browser extensions, or online services. The other techniques are not suitable for acquiring data from web pages. Here is why:
Sampling is a technique that involves selecting a subset of data from a larger population, usually for statistical analysis or testing purposes. Sampling does not help the analyst to acquire data from web pages, but rather to reduce the amount of data to be analyzed.
Data wrangling is a technique that involves transforming and cleaning data to make it suitable for analysis or visualization. Data wrangling does not help the analyst to acquire data from web pages, but rather to improve the quality and usability of the data.
ETL stands for Extract, Transform, and Load, which is a process that involves moving data from one or more sources to a destination, such as a data warehouse or a database. ETL does not help the analyst to acquire data from web pages, but rather to store and organize the data.

NEW QUESTION # 326
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?

A. Include a bar chart using the site and the percentage of new customers data.
B. Include a pie chat using the site and percentage of new customers data.
C. Include a scatter chart using the site and the percent of new customers data.
D. Include a line chart using the site and the percentage of new customers data.

Answer: A

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 salesrevenue or customer satisfaction.

NEW QUESTION # 327
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. Scheduled
B. Subscription
C. Email
D. Static

Answer: B

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 # 328
Which of the ing is the correct ion for a tab-delimited spre file?

A. tap
B. tar
C. az
D. sv

Answer: D

Explanation:
A tab-delimited spreadsheet file is a type of flat text file that uses tabs as delimiters to separate data values in a table. The file extension for a tab-delimited spreadsheet file is usually .tsv, which stands for tab-separated values. Therefore, the correct answer is C. References: [Tab-separated values - Wikipedia], [What is a TSV File? | How to Open, Edit & Convert TSV Files]

NEW QUESTION # 329
An analyst must obtain the average daily sales for the following week:

Which of the following must the analyst perform to obtain this value?

A. Data append
B. Data blending
C. Data normalization
D. Data aggregation

Answer: D

Explanation:
Explanation
Data aggregation is the process of compiling data from multiple sources and summarizing it into a single dataset. Data aggregation can be used to calculate statistics, such as averages, sums, counts, or percentages. In this case, the analyst must obtain the average daily sales for the following week, which is a statistic that can be calculated by aggregating the sales data from each day and dividing by the number of days. Data aggregation can be done using various tools and methods, such as spreadsheets, databases, or programming languages.

NEW QUESTION # 330
......

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