Real DA0-001 Dumps | PDF DA0-001 VCE
Real DA0-001 Dumps | PDF DA0-001 VCE
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Tags: Real DA0-001 Dumps, PDF DA0-001 VCE, DA0-001 Authorized Exam Dumps, Certification DA0-001 Questions, DA0-001 Reliable Braindumps Sheet
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PDF DA0-001 VCE | DA0-001 Authorized Exam Dumps
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CompTIA DA0-001 Exam is a certification exam designed to test an individual's knowledge of data management and analysis. DA0-001 exam is intended for professionals who are seeking to validate their understanding of data storage, processing, and analysis in order to advance their careers in the field of data management.
CompTIA Data+ Certification Exam Sample Questions (Q181-Q186):
NEW QUESTION # 181
A data analyst is helping a retail store categorize its customers into five different groups based on the following information:
* How recently the customers made purchases
* How frequently the customers made purchases
* How much the customers spent
Given the following information:
Which of the following would be most important for the analysis?
- A. CustomerJD, Territory. Amount
- B. CustomerJD. Channel, Order_Date
- C. CustomerJD. Quantity, Amount
- D. CustomerJD, Order_Date. Amount
Answer: D
NEW QUESTION # 182
'Which of the following is the BEST reason to use database views instead of tables?
- A. Views allow for the storage of temporary data. whereas tables do not.
- B. Views reduce the need for repetitive, complex data joins.
- C. Views can be used to restrict sensitive information.
- D. Views allow for the joining of multiple data sources, whereas tables do not.
Answer: B
NEW QUESTION # 183
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?
- A. November 1, 2019 to October 31, 2020
- B. October 31, 2020 to November 1, 2021
- C. October 1, 2019 to October 31, 2020
- D. October 31, 2019 to October 31, 2020
Answer: C
Explanation:
The report should cover the months from October 1, 2019 to October 31, 2020. A rolling 12-month average is a type of moving average that calculates the average of the last 12 months of data for each month. It is useful for smoothing out seasonal fluctuations and identifying long-term trends in the data. To calculate the rolling
12-month average for sales for November 1, 2020, the analyst needs to use the sales data from the previous 12 months, starting from November 1, 2019 and ending on October 31, 2020. The other options are either too short or too long to cover the required period.
NEW QUESTION # 184
Afinancial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?
- A. Sales volume
- B. Product name
- C. Start date
- D. Customer name
Answer: D
NEW QUESTION # 185
A customer list from a financial services company is shown below:
A data analyst wants to create a likely-to-buy score on a scale from 0 to 100, based on an average of the three numerical variables: number of credit cards, age, and income. Which of the following should the analyst do to the variables to ensure they all have the same weight in the score calculation?
- A. Recode the variables.
- B. Calculate the standard deviations of the variables.
- C. Calculate the percentiles of the variables.
- D. Normalize the variables.
Answer: D
Explanation:
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that they have the same weight in the score calculation. Recoding the variables means changing their values or categories, which would alter their meaning and distribution. Calculating the percentiles of the variables means ranking them relative to each other, which would not account for their actual magnitudes. Calculating the standard deviations of the variables means measuring their variability, which would not make them comparable. Reference: CompTIA Data+ Certification Exam Objectives, page 10
NEW QUESTION # 186
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