DA0-001考試證照，DA0-001證照信息

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最新的 CompTIA Data+ DA0-001 免費考試真題 (Q14-Q19):

問題 #14
A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO).
Which of the following should be included in the report?

A. The customers' first and last names.
B. Line-item SKU numbers.
C. YTD total sales.
D. The sales representatives' home addresses.

答案：C

解題說明：
The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives' home addresses, line-item SKU numbers, and customers' first and last names are not related to the sales performance and might compromise the privacy and security of the data. Reference: CompTIA Data+ (DA0-
001) Practice Certification Exams | Udemy

問題 #15
A data analyst is performing a data merge within a spreadsheet using the tables below:
https://www.bing.com/images/blob?bcid=S1XCF9p02M4GjpbGxHj0lrIaj9sw.....4c

The analyst is attempting to pull the addresses from Table 2 into Table 1 using the last names and is receiving an error message. Which of the following steps can the analyst perform to fix the error?

A. Sort the data by the last name field.
B. Review the spelling and data type.
C. Ensure the formula is pulling from right to left.
D. Use concatenate to combine the tables.

答案：B

解題說明：
The error in merging data from Table 2 into Table 1 using last names could be due to discrepancies in spelling or data type between the two tables. It is essential to ensure that the last names are spelled consistently and that the data types are compatible for a successful merge. Option D suggests reviewing these aspects, which can potentially resolve the error, ensuring that each last name in Table 1 accurately corresponds to the same last name in Table 2, allowing for a successful data pull of addresses.
References: This answer is based on general data analytics practices and does not reference a specific document.

問題 #16
An analyst needs to join two tables of data together for analysis. All the names and cities in the first table should be joined with the corresponding ages in the second table, if applicable.

Which of the following is the correct join the analyst should complete. and how many total rows will be in one table?

A. LEFT JOIN. four rows
B. RIGHT JOIN. five rows
C. OUTER JOIN, seven rows
D. INNER JOIN, two rows

答案：A

解題說明：
The correct join the analyst should complete is B. LEFT JOIN, four rows.
A LEFT JOIN is a type of SQL join that returns all the rows from the left table, and the matched rows from the right table. If there is no match, the right table will have null values. A LEFT JOIN is useful when we want to preserve the data from the left table, even if there is no corresponding data in the right table1 Using the example tables, a LEFT JOIN query would look like this:
SELECT t1.Name, t1.City, t2.Age FROM Table1 t1 LEFT JOIN Table2 t2 ON t1.Name = t2.Name; The result of this query would be:
Name City Age Jane Smith Detroit NULL John Smith Dallas 34 Candace Johnson Atlanta 45 Kyle Jacobs Chicago 39 As you can see, the query returns four rows, one for each name in Table1. The name John Smith appears twice in Table2, but only one of them is matched with the name in Table1. The name Jane Smith does not appear in Table2, so the age column has a null value for that row.

問題 #17
Given the below:

Which of the following numbers represents a Type I error?

A. 0
B. 1
C. 2
D. 3

答案：D

問題 #18
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. Calculate the standard deviations of the variables.
B. Recode the variables.
C. Normalize the variables.
D. Calculate the percentiles of the variables.

答案：C

解題說明：
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

問題 #19
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DA0-001考試證照，DA0-001證照信息

DA0-001證照信息，最新DA0-001考題

最新的 CompTIA Data+ DA0-001 免費考試真題 (Q14-Q19):

確保通過的DA0-001考試證照 |高通過率的考試材料|有用的DA0-001證照信息

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