CERTIFICATION DA0-001 DUMP | VALID DA0-001 TEST VOUCHER

Certification DA0-001 Dump | Valid DA0-001 Test Voucher

Certification DA0-001 Dump | Valid DA0-001 Test Voucher

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Tags: Certification DA0-001 Dump, Valid DA0-001 Test Voucher, Standard DA0-001 Answers, New DA0-001 Exam Papers, DA0-001 Valid Study Notes

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CompTIA Data+ Certification Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
A data analyst needs to perform a full outer join of a customer's orders using the tables below:

Which of the following is the mean of the order quantity?

  • A. 73.5
  • B. 78.8
  • C. 81.5
  • D. 76.5

Answer: C

Explanation:
Explanation
The correct answer is D. OUTER JOIN, seven rows.
An OUTER JOIN is a type of SQL join that returns all the rows from both tables, regardless of whether there is a match or not. If there is no match, the missing side will have null values. An OUTER JOIN can be either a LEFT JOIN, a RIGHT JOIN, or a FULL JOIN, depending on which table's rows are preserved1 Using the example tables, a FULL OUTER JOIN query would look like this:
SELECT Cust_id, Order_id, Order_qty FROM Sales_table FULL OUTER JOIN Order_table ON Sales_table.Order_id = Order_table.Order_id; The result of this query would be:
Cust_id | Order_id | Order_qty --------±---------±--------- 1 | 1 | 100 2 | 2 | 50 3 | 3 | 25 4 | 4 | 75 NULL | 5 | 10 NULL | 6 | 20 NULL | 7 | 15 As you can see, the query returns seven rows, one for each order in either table. The orders that are not in the Sales_table have null values for the Cust_id column.
To find the mean of the order quantity, we need to sum up the order quantities and divide by the number of rows. In this case, the mean is (100 + 50 + 25 + 75 + 10 + 20 + 15) / 7 = 42.14. Rounding to one decimal place, we get 42.1 as the mean of the order quantity.


NEW QUESTION # 83
Amanda needs to create a dashboard that will draw information from many other data sources and present it to business leaders.
Which one of the following tools is least likely to meet her needs?

  • A. SPSS Modeler.
  • B. Power BI.
  • C. Tableau.
  • D. QuickSight.

Answer: A

Explanation:
SPSS Modeler.
QuickSight, Tableau, and Power BI are all powerful analytics and reporting tools that can pull data from a variety of sources. SPSS Modeler is a powerful predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and your enterprise.


NEW QUESTION # 84
The senior management team at a company receives a detailed sales report at the end of each quarter. The report is several pages long and includes data from dozens of offices across the country. The team wants a better way to get a quick snapshot of what is included in the report. Which of the following modifications would best meet this requirement?

  • A. Modifying the report to include a summary section with observations and insights
  • B. Modifying the font size and style so important data points are more visible
  • C. Modifying documentation elements to include reference data sources
  • D. Modifying the report layout so it is easier to follow and understand

Answer: A

Explanation:
The purpose of an executive summary is to provide a concise and informative overview of a longer report, allowing busy stakeholders to quickly understand the key points and findings without reading the entire document. This summary should highlight the most important data, conclusions, and recommendations, and is typically placed at the beginning of the report for easy access12.
In the context of a detailed sales report for senior management, including a summary section with observations and insights would allow the team to quickly grasp the performance across various offices and identify any significant trends or issues that require attention. This approach aligns with best practices for executive reporting, which emphasize the importance of clear and concise summaries that focus on essential KPIs and actionable insights12.
References: 1: Databox - How to Write an Executive Summary for a Report: Step By Step Guide with Examples 2: LinkedIn - Best Practices for Writing Executive Summaries


NEW QUESTION # 85
A customer survey reveals 90% positive feedback. Which of the following statistical methods would be best to utilize to determine the reliability of a data set and predict how a larger sample of customers over the same time period might respond?

  • A. Remove any data more than 4 standard deviation from the mean.
  • B. Calculate the maximum range of the survey responses.
  • C. Calculate a high variance on survey responses.
  • D. Calculate a low standard deviation on survey responses.

Answer: D

Explanation:
A low standard deviation in survey responses indicates that the data points tend to be close to the mean, suggesting a high level of consistency among the responses. This consistency is crucial for determining the reliability of the data set and predicting future outcomes. If the standard deviation is low, it means that the positive feedback is not only high but also consistent, making it a reliable indicator of customer satisfaction and a good predictor of how a larger sample might respond.
References: The concept of using standard deviation to assess data reliability is a standard practice in statistics and data analysis123.


NEW QUESTION # 86
Which of the following data types best describe 4Ac1? (Select two).

  • A. Alphanumeric
  • B. Boolean
  • C. String
  • D. Float
  • E. Numeric
  • F. Symbolic

Answer: A,C

Explanation:
The term '4Ac1' is a combination of numbers and letters, which fits the definition of an alphanumeric string.
Alphanumeric refers to a character set that contains both letters and numbers. In data analytics and programming, such a value is typically treated as a string, which is a sequence of characters. Strings can include letters, digits, and various other symbols.
A numeric data type would only include numbers, and a float is a specific kind of numeric data type that includes decimal points, neither of which applies to '4Ac1'. A boolean data type represents one of two values:
true or false. Since '4Ac1' does not represent a true or false value, it cannot be classified as boolean. Lastly, symbolic is not a standard data type in the context of programming and data analytics.
References:
* Understanding Python 3 data types1.
* Basic Data Types in Python2.
* Java Data Types3.


NEW QUESTION # 87
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