Which of the following data types best describe 4Ac1? (Select two).
Correct Answer:
AF
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.
An organization would like to add a secondary email field to its customer database in order
to enrich the customer profiles. Which of the following data manipulation techniques should the analyst use to add this information?
Correct Answer:
C
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the MOST efficient way to deliver this report?
Correct Answer:
D
A dashboard with filters at the top that the user can toggle would be the most efficient way to deliver this report, because it allows the user to customize the view and explore different combinations of regions, products, and time periods. A workbook with multiple tabs for each region would be cumbersome and repetitive. A daily email with snapshots of regional summaries would not provide enough detail or interactivity. A static report with a different page for every filtered view would be too long and hard to navigate. References: CompTIA Data+ Certification Exam Objectives, page 14
A data analyst needs to collect a similar proportion of data from every state. Which of the following sampling methods would be the most appropriate?
Correct Answer:
C
The best sampling method for the data analyst??s need is C. Stratified sampling.
Stratified sampling is a type of probability sampling that involves dividing the population into homogeneous groups or strata based on some characteristic, such as state, and then randomly selecting a proportional number of individuals from each stratum. Stratified sampling ensures that every group is adequately represented in the sample, and reduces the sampling error and variability12
Systematic sampling is not correct, because it involves selecting every nth individual from the population, starting from a random point. Systematic sampling does not guarantee that every state will have a similar proportion of data in the sample, and may introduce bias or error if there is a hidden pattern or order in the population12
Convenience sampling is not correct, because it involves selecting individuals who are easily accessible or available to the researcher. Convenience sampling is a type of non- probability sampling that does not involve random selection, and may result in a biased or unrepresentative sample12
Random sampling is not correct, because it involves selecting individuals from the population at random, without any grouping or stratification. Random sampling may not produce a sample that has a similar proportion of data from every state, especially if the population is large or heterogeneous. Random sampling may also have a higher sampling error and variability than stratified sampling12
Which of the following data protection methods provides confidentiality for data in transit?
Correct Answer:
B
