CompTIA DA0-001 - CompTIA Data+ Certification Certification Exam
Question #1 (Topic: demo questions)
Which of the following BEST describes the issue in which character values are mixed with integer
values in a data set column?
Correct Answer: D
Explanation:
The invalid data type is the best description for the issue in which character values are mixed with
The invalid data type is the best description for the issue in which character values are mixed with
integer values in a data set column. Invalid data type means that the data does not match the
expected or required format or structure for a given variable or attribute. For example, if a columnis
supposed to store numerical values, but some rows contain text values, then those rows have an
invalid data type. Reference: CompTIA Data+ Certification Exam Objectives, page
Question #2 (Topic: demo questions)
A data analyst has been asked to organize the table below in the following ways:
By sales from high to low -
By state in alphabetic order -
Which of the following functions will allow the data analyst to organize the table in this manner?
Correct Answer: D
Explanation:
Sorting is the function that will allow the data analyst to organize the table in the desired
Sorting is the function that will allow the data analyst to organize the table in the desired
manner. Sorting means arranging the data in a specific order, such as ascending or
descending, based on one or more criteria. Sorting can be applied to any column in the
table, such as sales or state.
Question #3 (Topic: demo questions)
Which of the following actions should be taken when transmitting data to mitigate the chance of a
data leak occurring? (Choose two.)
Correct Answer: D, E
Explanation:
Data encryption and data masking are two actions that can be taken when transmitting data to
Data encryption and data masking are two actions that can be taken when transmitting data to
mitigate the chance of a data leak occurring. Data encryption means transforming data into an
unreadable format that can only be decrypted with a key. Data masking means hiding or replacing
sensitive data with fictitious or anonymized data. Both methods protect the confidentiality and
integrity of the data in transit. Reference: CompTIA Data+ Certification Exam Objectives, page
Question #4 (Topic: demo questions)
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?
Correct Answer: D
Explanation:
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that
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.
Question #5 (Topic: demo questions)
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
Correct Answer: C
Explanation:
The mean is the average of all the values in a data set. To calculate the mean, we add up all the