DA0-001 PASS GUARANTEE - DA0-001 VCE DUMPS

DA0-001 Pass Guarantee - DA0-001 VCE Dumps

DA0-001 Pass Guarantee - DA0-001 VCE Dumps

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CompTIA DA0-001 exam is an excellent certification for individuals who are looking to establish a career in the field of data analytics. It covers a broad range of topics related to data analytics and is designed to test the candidate's understanding of these concepts. DA0-001 Exam is computer-based and can be taken at any authorized Pearson VUE testing center.

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CompTIA Data+ certification exam is a vendor-neutral certification test that assesses one's knowledge related to Data collection, processing, and analysis across several domains. The CompTIA DA0-001 exam is open to anyone interested in data collection, analysis, storage, and transfer. DA0-001 exam consists of around 90 multiple-choice questions that cover essential data-related topics such as Data Structures, Data Management, Data Visualization, Data Security, and much more.

CompTIA DA0-001 Exam covers a variety of topics related to data, including data management, data analysis, data visualization, and data security. Professionals who pass DA0-001 exam will be able to demonstrate their knowledge of these topics and their ability to work with data in a professional setting. CompTIA Data+ Certification Exam certification is relevant for professionals in a variety of fields, including business, healthcare, finance, and government.

CompTIA Data+ Certification Exam Sample Questions (Q56-Q61):

NEW QUESTION # 56
Andy is a pricing analyst for a retailer. Using a hypothesis test, he wants to assess whether people who receive electronic coupons spend more on average.
What should Andy's null hypothesis be?

  • A. People who receive electronic coupons spend less on average.
  • B. People who receive electronic coupons do not spend more on average.
  • C. People who receive electronic coupons spend more on average.
  • D. People who do not receive electronic coupons spend more on average.

Answer: B

Explanation:
Explanation
The null hypothesis presumes the status quo. Andy is testing whether or not people who receive an electronic coupon spend more on average, so, the null hypothesis states that people who receive the coupon do spend more on average.


NEW QUESTION # 57
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. Summary
  • B. Data refresh
  • C. Frequently asked questions tab
  • D. Version number

Answer: B

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 # 58
Which of the following is an example of structured data?

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

Answer: B

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 # 59
An analyst is working with the income data of suburban families in the United States. The data set has a lot of outliers, and the analyst needs to provide a measure that represents the typical income. Which of the following would BEST fulfill the analyst's goal?

  • A. Median
  • B. Standard deviation
  • C. Mean
  • D. Mode

Answer: C


NEW QUESTION # 60
An analyst develops an IT document and needs to describe the technical terms used in the document. Which of the following is where the analyst should include descriptions of the technical terms?

  • A. Index
  • B. Glossary
  • C. System diagram
  • D. User requirements

Answer: B

Explanation:
In technical documentation, a glossary is the designated section where definitions for technical terms are provided. It serves as a reference point for readers to understand specialized or uncommon words used within the document. Including descriptions of technical terms in a glossary ensures that readers have a consistent resource to refer to, which can improve comprehension and reduce misunderstandings12.
A system diagram (Option B) is a visual representation of the system's components and their interactions, not a place for defining terms. User requirements (Option C) outline what end-users expect from the system, and an index (Option D) is an alphabetical list of topics covered in the document, usually with page numbers, but not definitions.
Reference:
Creating effective technical documentation1.
Best practices when writing technical descriptions3.


NEW QUESTION # 61
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