Demo CompTIA DA0-001 Exam Questions
Demo practice questions for guest users.
Question 1
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 2
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 3
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