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CompTIA Data+ Certification Exam Sample Questions (Q240-Q245):

NEW QUESTION # 240
The total values in this month's revenue report are twice as much as last month's. Which of the following most likely occurred during the ETL process?

A. The data cleansing processes failed to execute.
B. The data normalization processes failed.
C. The database connectivity failed.
D. The report included the previous month's data.

Answer: D

NEW QUESTION # 241
A sales director has requested a report for individual team members within the division be developed. The director would like the report to be shared with all team members, but individual team members should not be identifiable within the report Which of the following access requirements would support the director's needs?

A. Release the report as user-group-based access and include data masking.
B. Create an acceptable use policy for the sales data.
C. Provide the report based on role and include data encryption.
D. Get a data use agreement from the individual team members.

Answer: A

NEW QUESTION # 242
A table in a hospital database has a column for patient height in inches and a column for patient height in centimeters. This is an example of:

A. invalid data
B. duplicate data.
C. dependent data.
D. redundant data

Answer: D

Explanation:
This is because redundant data is a type of data that is unnecessary or irrelevant for the analysis or purpose, which can affect the efficiency and performance of the analysis or process. Redundant data can be caused by having multiple data fields that store the same or similar information, such as patient height in inches and patient height in centimeters in this case. Redundant data can be eliminated or reduced by using data cleansing techniques, such as removing or merging the redundant data fields. The other types of data are not examples of data that is unnecessary or irrelevant for the analysis or purpose. Here is what they mean in terms of data quality:
Dependent data is a type of data that relies on or is influenced by another data field or value, such as a formula or a calculation that uses other data fields or values as inputs or outputs. Dependent data can be useful or important for the analysis or purpose, as it can provide additional information or insights based on the existing data.
Duplicate data is a type of data that is repeated or copied in a data set, which can affect the quality and validity of the analysis or process. Duplicate data can be caused by having multiple records or rows that have the same or similar values for one or more data fields or columns, such as customer ID or order ID. Duplicate data can be eliminated or reduced by using data cleansing techniques, such as removing or filtering out the duplicate records or rows.
Invalid data is a type of data that is incorrect or inaccurate in a data set, which can affect the validity and reliability of the analysis or process. Invalid data can be caused by having values that do not match the expected format, type, range, or rule for a data field or column, such as an email address that does not have an @ symbol or a date that does not follow the YYYY-MM-DD format. Invalid data can be eliminated or reduced by using data cleansing techniques, such as validating or correcting the invalid values.

NEW QUESTION # 243
A data analyst must fulfill a request for information that is needed weekly and should be automatically emailed to a specific set of users. Which of the following types of reports should the analyst recommend?

A. A research report
B. An ad hoc report
C. A self-service report
D. An operational report

Answer: D

NEW QUESTION # 244
An analyst is working on a project for a director. During this process. the analyst pulled the data. created summarized tables and graphs with descriptions, created a report summary, and inserted all items into a report.
After writing the report, which of the following would be the most appropriate next step?

A. Complete a check for quality in the report.
B. Complete a review of the data and a check for consistency
C. Complete an audit on the data pulled for the report.
D. Complete a trend analysis to be included in the report.

Answer: A

Explanation:
Explanation
After writing the report, the most appropriate next step for the analyst is to complete a check for quality in the report. This involves reviewing the report for accuracy, clarity, completeness, consistency, and relevance. The analyst should ensure that the report addresses the director's business questions and objectives, that the data and analysis are correct and reliable, that the tables and graphs are well-designed and easy to understand, that the descriptions and summary are concise and informative, and that there are no errors or inconsistencies in the report. A quality check will help the analyst to improve the presentation and communication of the report, as well as to avoid any misunderstandings or misinterpretations by the director1.

NEW QUESTION # 245
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2025 Unparalleled Exam DA0-001 Questions Pdf Help You Pass DA0-001 Easily

CompTIA DA0-001 – Best Practices to Pass DA0-001 Exam [2025]

CompTIA Data+ Certification Exam Sample Questions (Q240-Q245):

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