NEW DA0-001 TEST REVIEW & DA0-001 VALID EXAM LABS

New DA0-001 Test Review & DA0-001 Valid Exam Labs

New DA0-001 Test Review & DA0-001 Valid Exam Labs

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Tags: New DA0-001 Test Review, DA0-001 Valid Exam Labs, DA0-001 Exam Sims, DA0-001 Reliable Test Vce, Valuable DA0-001 Feedback

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CompTIA DA0-001 Certification Exam is a must-have for all individuals seeking to advance their careers in the field of data analytics. CompTIA Data+ Certification Exam certification exam validates in-depth knowledge and practical skills required for effective data analysis and collaboration with various stakeholders. Passing the certification exam signifies a high level of competence in data analysis and provides significant value to an individual's reputation as a data analyst.

CompTIA DA0-001 Exam covers a wide range of topics, including data storage and management, data processing and analysis, data visualization, and data security. Candidates are expected to have a thorough understanding of data structures, database design, data warehousing, and data mining. They should also be familiar with data analysis tools such as Excel, R, and SQL, as well as visualization tools such as Tableau and Power BI.

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DA0-001 Valid Exam Labs, DA0-001 Exam Sims

With the rapid development of the economy, the demands of society on us are getting higher and higher. If you can have DA0-001 certification, then you will be more competitive in society. Our DA0-001 study materials will help you get the according certification. Believe me, after using our DA0-001 Study Materials, you will improve your work efficiency. Our DA0-001 free training materials will make you more prominent in the labor market than others, and more opportunities will take the initiative to find you.

CompTIA DA0-001 is the certification exam for the CompTIA Data+ certification. CompTIA Data+ Certification Exam certification is designed to validate the skills and knowledge of candidates who work with data, whether it's managing and analyzing data or working with database technologies. DA0-001 Exam is designed to test the candidate's understanding of data management, data analysis, and database technologies.

CompTIA Data+ Certification Exam Sample Questions (Q279-Q284):

NEW QUESTION # 279
An analysts building a monthly report for production and wants to ensure the audience is aware of its once-a-month cadence. Which of the following is the MOST important to convey that information?

  • A. The date of the dashboard build
  • B. Frequently asked questions
  • C. A report summary
  • D. The data refresh date

Answer: A

Explanation:
Explanation
This is because the date of the dashboard build is the most important component to convey that information, which is the once-a-month cadence of the monthly report for production. The date of the dashboard build can convey that information by indicating when the dashboard was created or updated, as well as showing the frequency or interval of the dashboard creation or update. For example, the date of the dashboard build can convey that information by displaying a date format that includes the month and year, such as January 2020, February 2020, etc., or by displaying a text format that includes the word "monthly", such as Monthly Report for Production - January 2020, Monthly Report for Production - February 2020, etc. The other components are not the most important components to convey that information. Here is why:
The data refresh date is a component that indicates when the data on the dashboard was refreshed or retrieved from the source or system, such as a database, a cloud service, or a web application. The data refresh date does not convey that information, but rather conveys how current or up-to-date the data on the dashboard is.
A report summary is a component that provides an overview or a highlight of the main findings or insights from the dashboard, such as key metrics, indicators, or trends. A report summary does not convey that information, but rather conveys what the dashboard is about or what it shows.
Frequently asked questions is a component that provides answers or explanations to common or expected questions from the audience or users of the dashboard, such as how to use or interpret the dashboard, what are the assumptions or limitations of the dashboard, etc. Frequently asked questions does not convey that information, but rather conveys how to understand or interact with the dashboard.


NEW QUESTION # 280
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 pie chart using the site and sales to average sales per customer.
  • C. Include a line chart using the site and average sales per customer.
  • D. Include a scatter chart using sales volume and 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 # 281
Samantha needs to share a list of her organization's top 50 customers with the VP of sales.
She would like to include the name of the customer, the business they represent, their contact information, and their total sales over the past year.
The VP does not have any specialized analytics skills or software but would like to make some personal notes on the dataset.
What would be the best tool for Samantha to use to share this information?

  • A. Minitab.
  • B. Microsoft Excel.
  • C. SAS.
  • D. Power BI.

Answer: B

Explanation:
Explanation
Microsoft Excel.
This scenario presents a very simple use case where the business leader needs a dataset in an easy-to-access form and will not be performing any detailed analysis.
A simple spreadsheet, such as Microsoft Excel, would be the best tool for this job.
There is no need to use a statistical analysis package, such as SAS or Minitab, as this would likely confuse the VP without adding any value. The same is true of an integrated analytics suite, such as Power BI.


NEW QUESTION # 282
An analysts building a monthly report for production and wants to ensure the audience is aware of its once-a-month cadence. Which of the following is the MOST important to convey that information?

  • A. The date of the dashboard build
  • B. The data refresh date
  • C. Frequently asked questions
  • D. A report summary

Answer: B


NEW QUESTION # 283
Which of the following is an example of structured data?

  • A. Social media correspondence
  • B. An email
  • C. A photo
  • D. A credit card number

Answer: D

Explanation:
A credit card number is an example of structured data, which is a type of data that conforms to a data model, has a well-defined structure, follows a consistent order, and can be easily accessed and used by a person or a computer program. A credit card number consists of 16 digits that are divided into four groups of four digits each, separated by spaces or hyphens. The first six digits indicate the issuer identification number, the next nine digits indicate the account number, and the last digit is a check digit that validates the number. A credit card number can be stored and processed in a structured format, such as a database or a spreadsheet1.


NEW QUESTION # 284
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