DA0-001 Dumps

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Vendor: CompTIA

Certifications: CompTIA Data+

Exam Name: CompTIA Data+

Exam Code: DA0-001

Total Questions: 215 Q&As ( View Details)

Last Updated: Mar 21, 2024

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DA0-001 Q&A's Detail

Exam Code: DA0-001
Total Questions: 215
Single & Multiple Choice 215

DA0-001 Online Practice Questions and Answers

Questions 1

Which one of the following would not normally be considered a summary statistic?

A. z-score.

B. Mean.

C. Variance.

D. Standard deviation.

Show Answer
Questions 2

An analyst is currently working on a ticket for revamping a company-wide dashboard that has been in use for five years. Which of the following should be the first step in the development process?

A. Talk to the group that made the request to determine the desired goal.

B. Make changes to a frequently used report that is already in production.

C. Build an additional dashboard with fewer views that are tailored toward each specific team.

D. Develop a more streanMined dashboard to roll out by the next delivery date.

Show Answer
Questions 3

Which of the following BEST describes standard deviation?

A. A measure that is used to establish a relationship between two variables

B. A measure of how data is distributed

C. A measure of the amount of dispersion of a set of values

D. A measure that is used to find the significant difference between variables

Show Answer
Questions 4

Which one the following is not considered an aggregate function?

A. SUM

B. MIN

C. SELECT

D. MAX

Show Answer
Questions 5

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. Version number

B. Data refresh

C. Frequently asked questions tab

D. Summary

Show Answer More Questions

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CompTIA DA0-001 exam official information: CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.