DA0-001 VCE FILES, DA0-001 DUMPS PDF

DA0-001 vce files, DA0-001 dumps pdf

DA0-001 vce files, DA0-001 dumps pdf

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Tags: Latest DA0-001 Exam Pass4sure, DA0-001 Preparation, Training DA0-001 Solutions, Exam DA0-001 Flashcards, DA0-001 Reliable Study Notes

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CompTIA Data+ certification is an industry-recognized certification that is highly valued by employers. It demonstrates that the candidate has the skills and knowledge needed to work with data and database technologies, which are essential skills in today's data-driven world. CompTIA Data+ Certification Exam certification is especially valuable for those who work in IT, as data management and analysis are essential skills in this field.

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CompTIA Data+ Certification Exam Sample Questions (Q275-Q280):

NEW QUESTION # 275
Which of the following is an example of a discrete variable?

  • A. The number of people in an office
  • B. The height of a horse
  • C. The time to complete a task
  • D. The temperature of a hot tub

Answer: A

Explanation:
A discrete variable is a variable that can only take on a finite number of values, such as integers or categories. The number of people in an office is an example of a discrete variable, as it can only be a whole number. The temperature of a hot tub, the height of a horse, and the time to complete a task are examples of continuous variables, as they can take on any value within a range. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy


NEW QUESTION # 276
A financial analyst is creating a daily billing report for a company. One night, the company's data warehouse did not update the data, which caused the data to be reported incorrectly the next day. Which of the following documentation elements should the analyst add to catch this error?

  • A. Frequently asked questions tab
  • B. Version number
  • C. Data refresh
  • D. Summary

Answer: C

Explanation:
Explanation
A data refresh is a documentation element that indicates when the data was last updated or refreshed from the source. A data refresh can help the analyst to catch the error of the data warehouse not updating the data, as it will show a discrepancy between the expected and actual date of the data update. A data refresh can also help the users of the report to verify the timeliness and accuracy of the data, and to avoid making decisions based on outdated or incorrect data


NEW QUESTION # 277
Which of the following report types is most appropriate for a high-level, year-end report requested by a Chief Executive Officer?

  • A. Recurring
  • B. Self-service
  • C. Dynamic
  • D. Ad hoc

Answer: A

Explanation:
For a high-level, year-end report requested by a Chief Executive Officer (CEO), a recurring report type is most appropriate. Recurring reports are regular, scheduled reports that typically summarize information over a set period, such as a fiscal year. They provide a consistent format for executives to track performance over time, and their standardized nature makes them suitable for high-level analysis and decision-making. Since CEOs need to monitor performance and make strategic decisions, a recurring report that provides a comprehensive overview of the year's activities and outcomes would be valuable. This allows the CEO to evaluate the company's performance against its goals and objectives systematically.
Dynamic reports (A) are more interactive and typically used for in-depth analysis where users can drill down into the data. Ad hoc reports (C) are one-time, usually unscheduled reports tailored for specific questions, which may not be as comprehensive as a year-end report requires. Self-service reports (D) allow users to create their reports on demand, which may not be the formal, synthesized view a CEO would need for a year- end report.


NEW QUESTION # 278
Which of the following is an example of a data-mining ETL tool?

  • A. Cognos
  • B. SSIS
  • C. SPSS
  • D. Stata

Answer: B

Explanation:
A data-mining ETL tool is a software application that performs extract, transform, and load (ETL) operations on data for data mining purposes. Data mining is the process of discovering patterns, trends, and insights from large and complex data sets. ETL tools help to prepare the data for analysis by extracting data from various sources, transforming data into a consistent and suitable format, and loading data into a data warehouse or other destination. SSIS (SQL Server Integration Services) is an example of a data-mining ETL tool that is part of Microsoft SQL Server. SSIS provides graphical tools and wizards for building and debugging ETL packages that can work with various data sources and destinations. Therefore, the correct answer is A.
References: [Data Mining - SQL Server Integration Services (SSIS) | Microsoft Docs], [What Is Data Mining?
| Oracle]


NEW QUESTION # 279
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?

  • A. Data encryption.
  • B. Data protection.
  • C. Data transmission.
  • D. Data masking.

Answer: A

Explanation:
A) Data encryption.
Data encryption is a way of translating data from plaintext (unencrypted) to ciphertext (encrypted). Users can access encrypted data with an encryption key and decrypted data with a decryption key.


NEW QUESTION # 280
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