DA0-001 Free Questions

Question #1

Five dogs have the following heights in millimeters: 300, 430, 170, 470, 600

Which of the following is the mean height for the five dogs?

A . 394mm
B . 405mm
C . 493mm
D . 504mm

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Question #2

An analyst needs to conduct a quick analysis.

Which of the following is the FIRST step the analyst should perform with the data?

A . Conduct an exploratory analysis and use descriptive statistics.
B . Conduct a trend analysis and use a scatter chart.
C . Conduct a link analysis and illustrate the connection points.
D . Conduct an initial analysis and use a Pareto chart.

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Question #3

Refer to the exhibit.

A data analyst needs to calculate the mean for Q1 sales using the data set below:

Which of the following is the mean?

A . $2,466.18
B . $2,667.60
C . $3,082.72
D . $12,330.88

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Question #4

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 . Mean
C . Mode
D . Standard deviation

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Correct Answer: A
A

Explanation:

his is because median is a type of statistical measure that represents the typical value or central tendency of a data set, which means that it divides the data set into two equal halves, such that half of the values are above it and half are below it. Median can be used to provide a measure that represents the typical income of suburban families in the United States, especially when the data set has a lot of outliers, which means that it has values that are unusually high or low compared to the rest of the data set. Median can provide a measure that represents the typical income of suburban families in the United States, because it is not affected or skewed by the outliers, as it only depends on the middle value or the middle two values of the data set, regardless of how extreme or distant the outliers are. For example, median can provide a measure that represents the typical income of suburban families in the United States, by finding the income value that splits the data set into two equal groups of families, such that 50% of the families have higher incomes and 50% have lower incomes. The other statistical measures are not the best measures to represent the typical income of suburban families in the United States.

Here is why:

Mean is a type of statistical measure that represents the average value or central tendency of a data set, which means that it is the sum of all the values divided by the number of values. Mean is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is affected or skewed by the outliers, as it takes into account all the values in the data set, regardless of how extreme or distant they are. For example, mean can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is influenced by a few very high or very low incomes, which could make it higher or lower than most of the incomes in the data set.

Mode is a type of statistical measure that represents the most frequent value or mode of a data set, which means that it is the value that occurs most often in the data set. Mode is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is not representative or indicative of the central tendency or distribution of the data set, as it only depends on the count or occurrence of a single value or a few values in the data set, regardless of how common or rare they are. For example, mode can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is repeated more often than others, which could be an outlier or an anomaly in the data set.

Standard deviation is a type of statistical measure that represents the amount of dispersion or variation of a data set, which means that it quantifies how much the values in a data set vary or deviate from the mean or average of the data set. Standard deviation is not a measure that represents the typical income of suburban families in the United States, but rather a measure that describes the spread or distribution of their incomes, as well as identifies any outliers or extreme values in their incomes. For example, standard deviation can provide a measure that describes how diverse or homogeneous their incomes are, as well as how far their incomes are from their average income.

Question #5

Refer to the exhibit.

Given the table below:

Which of the following variable types BEST describes the “Year” column?

A . Numeric
B . Date
C . Alphanumeric
D . Text

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Question #6

Which one of the following in NOT a common data integration tool?

A . XSS
B . ELT
C . ETL
D . APIs

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Question #7

Which of the following data manipulation techniques is an example of a logical function?

A . WHERE
B . AGGREGATE
C . BOOLEAN
D . IF

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Question #7

Which of the following data manipulation techniques is an example of a logical function?

A . WHERE
B . AGGREGATE
C . BOOLEAN
D . IF

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Question #9

Which of the following descriptive statistical methods are measures of central tendency? (Choose two.)

A . Mean
B . Minimum
C . Mode
D . Variance
E . Correlation
F . Maximum

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Question #10

An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798.

Which of the following should be the total number of datapoints on the next day?

A . 7,038
B . 9,600
C . 10,600
D . 10,800

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CompTIA DA0-001 Real Exam Questions

The questions for DA0-001 were last updated at Dec 01,2024.

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