COMPTIA DA0-001 LATEST DUMPS–AFFORDABLE PRICE AND FREE UPDATES

CompTIA DA0-001 Latest Dumps–Affordable Price and Free Updates

CompTIA DA0-001 Latest Dumps–Affordable Price and Free Updates

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To prepare for the CompTIA DA0-001 exam, candidates can take advantage of various study resources, such as online courses, study guides, and practice exams. It is important to have a solid understanding of data management concepts and principles, as well as practical experience working with data, before attempting the exam. With proper preparation and study, candidates can increase their chances of passing the exam and achieving the CompTIA Data+ Certification.

CompTIA DA0-001 Certification is a valuable credential for professionals in the field of data management. It validates the skills and knowledge required to work with data in a secure, efficient, and scalable manner. By passing the DA0-001 exam, candidates can enhance their career prospects and demonstrate their expertise in this critical area of modern business.

CompTIA Data+ Certification Exam Sample Questions (Q299-Q304):

NEW QUESTION # 299
A data analyst is asked to create a sales report for the second-quarter 2020 board meeting, which will include a review of the business's performance through the second quarter. The board meeting will be held on July 15, 2020, after the numbers are finalized. Which of the following report types should the data analyst create?

  • A. Dynamic
  • B. Self-service
  • C. Real-time
  • D. Static

Answer: D


NEW QUESTION # 300
An analyst has received the requirements for an internal user dashboard. The analyst confirms the data sources and then creates a wireframe. Which of the following is the NEXT step the analyst should take in the dashboard creation process?

  • A. Optimize the dashboard.
  • B. Deploy to production.
  • C. Get stakeholder approval.
  • D. Create subscriptions.

Answer: A


NEW QUESTION # 301
While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?

  • A. Sort any of the responses that say "Jan" and update them to "01".
  • B. Replace any of the responses that have "01".
  • C. Filter on any of the responses that do not say "January" and update them to "January".
  • D. Delete any of the responses that do not have "January" written out.

Answer: C

Explanation:
Filter on any of the responses that do not say "January" and update them to "January". This is because filtering and updating are data cleansing techniques that can be used to ensure data consistency, which means that the data is uniform and follows a standard format. By filtering on any of the responses that do not say "January" and updating them to "January", the analyst can make sure that all the responses for the month of January are written in the same way. The other steps are not appropriate for ensuring data consistency. Here is why:
Deleting any of the responses that do not have "January" written out would result in data loss, which means that some information would be missing from the data set. This could affect the accuracy and reliability of the analysis.
Replacing any of the responses that have "01" would not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "Jan" and "January". This could cause confusion and errors in the analysis.
Sorting any of the responses that say "Jan" and updating them to "01" would also not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "01" and "January". This could also cause confusion and errors in the analysis.


NEW QUESTION # 302
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.

  • A. True.
  • B. False.

Answer: B


NEW QUESTION # 303
Which of the following are reasons to create and maintain a data dictionary? (Choose two.)

  • A. To reduce processing power requirements
  • B. To confine breaches of PHI data
  • C. To improve data acquisition
  • D. To remember specifics about data fields
  • E. To provide continuity through personnel turnover
  • F. To specify user groups for databases

Answer: D,E

Explanation:
Explanation
A data dictionary is a collection of metadata that describes the data elements in a database or dataset. It can help improve data acquisition by providing information about the data sources, formats, quality, and usage. It can also help remember specifics about data fields, such as their names, definitions, types, sizes, and relationships. Therefore, options B and D are correct.
Option A is incorrect because it is not a reason to create and maintain a data dictionary, but a benefit of doing so.
Option C is incorrect because specifying user groups for databases is not a function of a data dictionary, but a function of a database management system or a security policy.
Option E is incorrect because confining breaches of PHI data is not a function of a data dictionary, but a function of a data protection or encryption system.
Option F is incorrect because reducing processing power requirements is not a function of a data dictionary, but a function of a data compression or optimization system.


NEW QUESTION # 304
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