CompTIA Data+ Certification - DA0-001 Exam Practice Test

For which of the following test statistics would a low value imply a potentially meaningful result?

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 research analyst collects ten data points from 1.000 specimens. The analyst will not need any additional data to complete the analysis and will not need to retrieve information by specifier. Which of the following is the best data structure for the analyst to use?

An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?

Which of the following best defines SCD?

An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:

Which of the following charts would be BEST to use?

Which of the following would be considered non-personally identifiable information?

Which of the following value is the measure of dispersion "range" between the scores of ten students in a test.
The scores of ten students in a test are 17, 23, 30, 36, 45, 51, 58, 66, 72, 77.

Which of the following techniques is used to quantify data?

Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?

Which of the following will MOST likely be streamed live?

Which of the following types of analysis would be best for an analyst to use to examine the relationships between authors who cited other authors in a library of research papers?

Which of the following data types must be used when working with variables that require classification into two or more groups before analysis?

A data scientist wants to see which products make the most money and which products attract the most customer purchasing interest in their company.
Which of the following data manipulation techniques would he use to obtain this information?

A business intelligence engineer needs to reduce the size of a data model for reporting purposes. The data set contains more than one million rows, and the table has a date-time column named Date. Which of the following should the analyst do to complete this task?