TEST DA0-001 QUESTIONS FEE | TEST DA0-001 DATES

Test DA0-001 Questions Fee | Test DA0-001 Dates

Test DA0-001 Questions Fee | Test DA0-001 Dates

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CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is an essential certification for IT professionals who want to demonstrate their skills and knowledge in data management. CompTIA Data+ Certification Exam certification is recognized worldwide, and it is vendor-neutral, making it an attractive certification for IT professionals who want to work across a wide range of technologies and platforms.

The primary aim of the CompTIA DA0-001 (CompTIA Data+) Certification Exam is to validate an individual's fundamental understanding of data principles and data management solutions. The successful completion of DA0-001 Exam validates that one has the fundamental data knowledge and skills necessary for an entry-level data analyst, data technician, or data operator role. Many IT hiring managers look for the CompTIA Data+ certification as evidence of a candidate's baseline data competencies, making it an excellent starting point for those pursuing a broader career in data science.

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CompTIA Data+ Certification Exam Sample Questions (Q92-Q97):

NEW QUESTION # 92
A financial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?

  • A. Product name
  • B. Customer name
  • C. Start date
  • D. Sales volume

Answer: B

Explanation:
Customer name is the field that should be masked, because it contains sensitive information that could identify the government accounts that the financial institution deals with. Masking is a technique that replaces or obscures sensitive data with dummy or random data, such as asterisks or hashes. Masking can help protect the privacy and security of the data, while still allowing for some analysis and reporting. Therefore, the correct answer is D. Reference: [Data Masking | Definition, Techniques & Examples - Talend], [Data masking - Wikipedia]


NEW QUESTION # 93
A sales team wants visibility of current sales numbers, pipeline, and team performance. The team would also like to see calculations of individuals' earned commissions and projected commissions based on sales, but they want that information to be kept confidential. Which of the following would be the BEST way to provide this visibility?

  • A. Create a dashboard with views for team, individuals, and management. Configure permissions to control access.
  • B. Create a dashboard for sales numbers, pipeline, and team and individual performance for the management team.
  • C. Create a dashboard with filters for the overall team, individuals, and management. Users can filter to see the data they want.
  • D. Create a dashboard displaying a data refresh date so users know the current sales numbers and configure permissions to control access.

Answer: A

Explanation:
Create a dashboard with views for team, individuals, and management. Configure permissions to control access. This is because a dashboard is a type of visualization that displays multiple charts or graphs on a single page, usually to provide an overview or summary of some data or information. A dashboard can be used to provide visibility of current sales numbers, pipeline, and team performance by showing different metrics and indicators related to these aspects. By creating a dashboard with views for team, individuals, and management, the analyst can customize the content and layout of the dashboard for different audiences and purposes. By configuring permissions to control access, the analyst can ensure that the confidential information, such as individuals' earned commissions and projected commissions based on sales, is only visible to the authorized users. The other ways are not the best way to provide this visibility. Here is why:
Creating a dashboard displaying a data refresh date so users know the current sales numbers and configuring permissions to control access would not be sufficient to provide visibility of pipeline and team performance, as well as individuals' earned commissions and projected commissions based on sales. The dashboard would only show the current sales numbers and the date when the data was updated, which would not give a comprehensive or detailed view of the sales situation.
Creating a dashboard for sales numbers, pipeline, and team and individual performance for the management team would not be appropriate to provide visibility for the sales team, as they would not have access to the dashboard or the information they need. The dashboard would only be available for the management team, which would limit the transparency and collaboration among the sales team members.
Creating a dashboard with filters for the overall team, individuals, and management would not be secure to provide visibility of confidential information, such as individuals' earned commissions and projected commissions based on sales. The dashboard would allow users to filter and see the data they want, which could expose sensitive or personal information to unauthorized users.


NEW QUESTION # 94
Which of the following activities occurs during the ETL process?

  • A. Multiplying unique data
  • B. Inserting a pivot table and pivot chart
  • C. Reviewing and addressing missing values
  • D. Creating a dashboard

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:
ETL stands for Extract, Transform, Load, which are the three fundamental steps in the data integration process:
* Extract:Retrieving data from various source systems.
* Transform:Cleaning and converting the extracted data into a suitable format or structure for analysis.
* Load:Inserting the transformed data into a target database or data warehouse.
Option A:Reviewing and addressing missing values
* Rationale:During theTransformphase of the ETL process, data is cleansed and prepared for analysis.
This includes reviewing and addressing missing values to ensure data quality and consistency. Handling missing data is crucial, as it can impact the accuracy of analyses and decision-making.


NEW QUESTION # 95
A data analyst needs to calculate the mean for Q1 sales using the data set below:

Which of the following is the mean?

  • A. $12,330.88
  • B. $3,082.72
  • C. $2,667.60
  • D. $2,466.18

Answer: B

Explanation:
Explanation
The mean is the average of all the values in a data set. To calculate the mean, we add up all the values and divide by the number of values. In this case, the mean for Q1 sales is ($2,000 + $3,000 + $4,000 + $2,500 +
$3,500) / 5 = $3,082.72 References: CompTIA Data+ Certification Exam Objectives, page 9


NEW QUESTION # 96
Given the following report:

Which of the following components need to be added to ensure the report is point-in-time and static? (Select two).

  • A. A control group for the phrases
  • B. The date when the report was last accessed
  • C. Filter buttons for the status
  • D. The time period lhe report covers
  • E. The date on which the report was run
  • F. A summary of the KPIs

Answer: B,D


NEW QUESTION # 97
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