Free PDF Quiz CompTIA - DA0-001 - CompTIA Data+ Certification Exam Fantastic Review Guide

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CompTIA DA0-001 Certification Exam is a must-have for all individuals seeking to advance their careers in the field of data analytics. CompTIA Data+ Certification Exam certification exam validates in-depth knowledge and practical skills required for effective data analysis and collaboration with various stakeholders. Passing the certification exam signifies a high level of competence in data analysis and provides significant value to an individual's reputation as a data analyst.

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CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a certification aimed at IT professionals who work with data. DA0-001 exam is designed to test the candidate's knowledge and skills in data management, analysis, and security. CompTIA Data+ Certification Exam certification is vendor-neutral, meaning that it is not tied to any specific software or hardware platform, making it a valuable credential for professionals working in different industries.

The DA0-001 Certification is ideal for professionals who are looking to advance their careers in the field of data management. CompTIA Data+ Certification Exam certification is recognized by many leading organizations, including Microsoft, Oracle, and IBM. It is also aligned with the best practices and standards of the industry, ensuring that certified professionals have the skills and knowledge required to meet the demands of the modern data-driven world.

CompTIA Data+ Certification Exam Sample Questions (Q167-Q172):

NEW QUESTION # 167
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?

A. October 31, 2019 to October 31, 2020
B. October 31, 2020 to November 1, 2021
C. October 1, 2019 to October 31, 2020
D. November 1, 2019 to October 31, 2020

Answer: C

NEW QUESTION # 168
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:

Which of the following charts would be BEST to use?

A. Histogram
B. Waterfall
C. Scatter pot
D. Pie
E. Line

Answer: D

Explanation:
The best chart to use to identify the composition between the categories of the survey response data set is a pie chart. A pie chart is a circular chart that shows the relative proportions of different categories in a whole. A pie chart is divided into slices that represent the percentage or frequency of each category. A pie chart is suitable for displaying categorical data that has a few categories and does not have any hierarchical or temporal relationship. In this case, a pie chart can show the composition of the favorite colors among the survey respondents, as well as the percentage of each color. The other options are not as good as a pie chart for this purpose, as they are more suitable for displaying numerical data that has some kind of distribution, trend, correlation, or comparison. A histogram is a bar chart that shows the frequency distribution of a single numerical variable. A line chart is a chart that shows the change of one or more numerical variables over time or another continuous variable. A scatter plot is a chart that shows the relationship between two numerical variables by plotting them as points on a Cartesian plane. A waterfall chart is a chart that shows how an initial value is increased or decreased by a series of intermediate values, resulting in a final value. Reference: [Choosing the Right Chart Type - DataCamp]

NEW QUESTION # 169
George is conducting a survey. He intends to distribute the survey via email and wants to optionally follow up with respondents based on their answers.
What quality dimension is most vital to the success of George's survey?
Choose the best answer.

A. Accuracy.
B. Validity.
C. Completeness.
D. Consistency.

Answer: C

Explanation:
Accuracy is for measuring how well an attribute matches its intended use.
Consistency measures an attribute's value across systems.
Validity ensures an attribute's value falls within an expected range.
While all of these dimensions are important, Completeness is foundational to George's purpose.

NEW QUESTION # 170
A data analyst is working with a team to create a dashboard for a client who requires on-demand access.
Which of the following is the best delivery method to support the clients' requirement?

A. Static
B. Email
C. Scheduled
D. Subscription

Answer: D

Explanation:
Explanation
The best delivery method to support the client's requirement is C. Subscription.
Short explanation: A subscription is a delivery method that allows the client to access the dashboard on-demand, whenever they need it. A subscription can be set up by the data analyst or the client themselves, and it can be configured to send an email notification when the dashboard is updated or refreshed. A subscription also allows the client to view the dashboard online or download it as a file format of their choice12
A: Email is not the best delivery method because it does not allow the client to access the dashboard on-demand. Email deliveries are sent at a fixed time or frequency, and they may not reflect the latest data or changes in the dashboard. Email deliveries also have limitations on the file size and format of the dashboard attachments1
B: Scheduled is not the best delivery method because it does not allow the client to access the dashboard on-demand. Scheduled deliveries are similar to email deliveries, except that they are triggered by a specific event or condition, such as a data update or a threshold value. Scheduled deliveries also have the same limitations as email deliveries on the file size and format of the dashboard attachments1
D: Static is not the best delivery method because it does not allow the client to access the dashboard on-demand. Static deliveries are one-time deliveries that are manually generated by the data analyst or the client. Static deliveries do not update or refresh automatically, and they may become outdated or irrelevant over time. Static deliveries also have limitations on the file size and format of the dashboard files3

NEW QUESTION # 171
A company's marketing department wants to do a promotional campaign next month. A data analyst on the team has been asked to perform customer segmentation, looking at how recently a customer bought the product, at what frequency, and at what value. Which of the following types of analysis would this practice be considered?

A. Prescriptive
B. Trend
C. Custer
D. Gap

Answer: C

Explanation:
Explanation
Customer segmentation is a type of cluster analysis, which is a method of grouping data points based on their similarities or differences. Cluster analysis can help identify patterns and trends in the data, as well as target specific groups of customers for marketing purposes. One common technique for customer segmentation is RFM analysis, which stands for recency, frequency, and monetary value. This technique assigns a score to each customer based on how recently they bought the product, how often they buy the product, and how much they spend on the product. These scores can then be used to create clusters of customers with different characteristics and preferences. Therefore, the correct answer is D. References: Cluster Analysis - Statistics Solutions, RFM Analysis: The Ultimate Guide for Customer Segmentation

NEW QUESTION # 172
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Free PDF Quiz CompTIA - DA0-001 - CompTIA Data+ Certification Exam Fantastic Review Guide

Latest CompTIA DA0-001 Exam Experience | Latest DA0-001 Questions

CompTIA Data+ Certification Exam Sample Questions (Q167-Q172):

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