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  2. CompTIA Certification
  3. DA0-001 Exam
  4. CompTIA.DA0-001.v2026-02-06.q156 Dumps
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Question 6

A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?

Correct Answer: C
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Question 7

Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

Correct Answer: D
Python is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language. Python has a simple and expressive syntax that makes it easy to read and write code. Python also has a rich set of libraries and frameworks that support various tasks and applications in data analytics, such as data manipulation, visualization, machine learning, natural language processing, web scraping, and more. Some examples of popular Python libraries for data analytics are pandas, numpy, matplotlib, seaborn, scikit-learn, nltk, and beautifulsoup. Python is different from other data analytics tools that are not programming languages but rather software applications or platforms that provide graphical user interfaces (GUIs) for data analysis and visualization. Some examples of these tools are SAS, Microsoft Power BI, IBM SPSS. Therefore, the correct answer is D. Reference: [What is Python? | Definition and Examples], [Python Libraries for Data Science]
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Question 8

Olivia has 15 people on her data analytics team. Her team's charter requires that all team members have read access to the finance, human resources, sales, and customer service areas of the corporate data warehouse.
What is the best way to provision access to her team?
Choose the best answer.

Correct Answer: D
Correct answer D. Create a single role that includes finance, human resources, sales, and customer services data.
While MFA is a good security practice, it doesn't govern access to data.
Creating a single role for her team and assigning that role to the individuals on the team is the best approach.
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Question 9

A data analyst is asked to create a sales report for the second-quarter 2020 board meeting, which will include a review of the business's performance through the second quarter. The board meeting will be held on July 15,
2020, after the numbers are finalized. Which of the following report types should the data analyst create?

Correct Answer: A
Explanation
A dynamic report is a type of report that shows data that changes or updates automatically based on certain criteria or parameters. A dynamic report can allow users to interact with the data, filter it, drill down into it, or visualize it in different ways. A dynamic report is suitable for situations where the data changes frequently or where real-time or near-real-time data is needed for decision making or analysis. In this case, the data analyst is asked to create a sales report for the second-quarter 2020 board meeting, which will include a review of the business's performance through the second quarter. The board meeting will be held on July 15, 2020, after the numbers are finalized. This means that the data analyst does not need to show real-time or dynamic data, but rather a fixed and accurate view of the sales data for the second quarter. Therefore, a static report would be the best way to meet this stakeholder requirement. Therefore, the correct answer is A. References: [What are Dynamic Reports? | Sisense], Static vs Dynamic Reports - What's The Difference? | datapine
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Question 10

A data profiling rule checks the quality of all email addresses in a database. The rule returns a value with the number of email addresses that conformed to the rule. Which of the following options describes this value?

Correct Answer: B
Data profiling rules are often applied row by row to assess data quality. In this scenario:
* Each row represents one record (e.g., one customer, one user).
* The email rule checks whether each email field conforms to a specified pattern/format (e.g., contains
@, valid domain, no illegal characters).
The result described in the question is:
* A count of how many records (rows) had an email that conformed to the rule.
This corresponds to "rows passed" - i.e., the number of rows that passed the data quality check.
Why the other options are incorrect:
* Columns passed (A): Would refer to how many columns/fields in the dataset passed a profiling rule, which is not what's described (the rule is applied to one column: email).
* Rows failed (C): Would be the count of records that did not conform, which is the opposite of what's stated ("conformed to the rule").
* Columns failed (D): Again, column-level evaluation, not row-level.
Therefore, the returned value is best described as Rows passed (B).
CompTIA Data+ Reference (concept alignment):
* DA0-001 Exam Objectives - Domain: Data Quality (profiling data and interpreting pass/fail metrics).
* CompTIA Data+ Official Study Guide - sections on data profiling metrics and the distinction between row-level and column-level quality checks.
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