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CompTIA DA0-001 Questions To Make Sure Results [2026]

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CompTIA Data+ Certification Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
The number of phone calls that call center receives in a day is an example of:

A. categorical data.
B. ordinal data.
C. continuous data.
D. discrete data.

Answer: D

NEW QUESTION # 16
What is the median of the following numbers?
13, 2, 65, 3, 5, 4, 7, 3, 4, 7, 8, 2, 4, 4, 60, 23, 43, 2

A. 0
B. 1
C. 2
D. 4.5

Answer: D

Explanation:
Correct answer B. 4.5
To find the median, sort the numbers in your dataset and find the one located in the middle. In this case, there are an even number of observations, so we take the two middle numbers (4 and 5) and use their average as the median, making the median value 4.5.
The mode is 4, the range is 63, and the number of observations is 18.

NEW QUESTION # 17
A collections manager has a team calling customers who are past due on their accounts in an attempt to collect payments. The manager receives the call list in the form of a printed report that is generated by the accounting department at the beginning of each week. Consequently, the collections team calls some customers who have made payments in the time since the report was last printed. Which of the following reporting enhancements could the accounting department implement to best reduce the number of calls on current accounts?

A. Add a report run date to the report.
B. Increase the frequency of report generation.
C. Include a time stamp on the report.
D. Modify the date range on the report

Answer: B

Explanation:
The best reporting enhancement that the accounting department could implement to reduce the number of calls on current accounts is C. Increase the frequency of report generation.
By increasing the frequency of report generation, the accounting department could provide the collections manager with more up-to-date information on the customers who are past due on their accounts. This would help to avoid calling customers who have made payments in the time since the last report was printed, and thus reduce the number of calls on current accounts. Increasing the frequency of report generation would also improve the accuracy and timeliness of the data, and enhance the efficiency and effectiveness of the collections process.
Modifying the date range on the report, including a time stamp on the report, or adding a report run date to the report would not be sufficient to reduce the number of calls on current accounts. These enhancements would only provide information on when the report was generated or what period it covers, but they would not change the fact that the report could be outdated by the time it reaches the collections manager. Therefore, these enhancements would not solve the problem of calling customers who have already paid their accounts.

NEW QUESTION # 18
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?

A. Split the Date column into two columns-time and date.
B. Round the hour of the Date column to the start of the hour.
C. Trim the date.
D. Change the data type of the Date column to text.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:
When dealing with large datasets, optimizing data storage is crucial for performance and efficiency. The Date column, containing date-time values, can be optimized by reducing its precision, thereby decreasing the storage requirements.
* Changing the data type to text: Converting the Date column to text would likely increase the storage size and complicate date-time operations, as text representations are less efficient for date-time computations.
* Trimming the date: This option is ambiguous. If it refers to removing time components, it could lead to loss of essential information.
* Rounding the hour to the start of the hour: By adjusting the time to the top of the hour (e.g., 10:45 becomes 10:00), the precision is reduced, which can decrease the storage size and improve performance without significant loss of essential information.
* Splitting into two columns-time and date: This approach increases the number of columns and may not effectively reduce the overall data size.
Therefore, rounding the hour to the start of the hour is the most effective method to reduce the data model's size while preserving essential temporal information.

NEW QUESTION # 19
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. 10,800
B. 10,600
C. 7,038
D. 9,600

Answer: B

NEW QUESTION # 20
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