DA0-001練習問題集、DA0-001受験方法

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CompTIA DA0-001 Exam Syllabus Topics:

SectionWeightObjectives
Visualization23%- Visualization best practices
- Chart and dashboard creation
- Tool-based visualization techniques
Data Concepts and Environments15%- Data sources and acquisition methods
- Data structures and file formats
- Data concepts and terminology
Data Governance, Quality, and Controls14%- Security, privacy, and compliance considerations
- Data governance frameworks
- Data quality management
Data Analysis23%- Data interpretation and reporting
- Statistical methods and calculations
- Trend and correlation analysis
Data Mining25%- Data acquisition and cleaning techniques
- Data transformation and profiling
- Pattern identification and extraction

>> DA0-001練習問題集 <<

DA0-001受験方法、DA0-001合格率書籍

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CompTIA Data+ Certification Exam 認定 DA0-001 試験問題 (Q60-Q65):

質問 # 60
Which of the following best describes the process of examining data for statistics and information about the data?

正解:C

解説:
Data profiling is the process of examining data for statistics and information about the data, such as the structure, format, quality, and content of the dat a. Data profiling can help to understand the characteristics, patterns, relationships, and anomalies of the data, as well as to identify and resolve any errors, inconsistencies, or missing values in the data. Data profiling can be done using various tools and methods, such as spreadsheets, databases, or programming languages12.


質問 # 61
Which of the following contains alphanumeric values?

正解:A


質問 # 62
A data analyst has been asked to create one table that has each employee's first name, last name, sales, and address. The sales and addresses are listed in the tables below:

Which of the following steps should the analyst take to create the table?

正解:D


質問 # 63
Which of the following is an example of PII?

正解:A

解説:
Explanation
A name is an example of personally identifiable information (PII), which is any data that can be used to identify someone, either on its own or with other relevant data. A name is a direct identifier, which means that it can uniquely identify a person without the need for any additional information. For example, a full name, such as John Smith, can be used to distinguish or trace an individual's identity1.
Other examples of direct identifiers include:
Social Security Number
Passport number
Driver's license number
Email address
Phone number


質問 # 64
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?

正解:E

解説:
A pie chart is the best choice to show the composition between the categories of the survey response data set. A pie chart represents the whole with a circle, divided by slices into parts. Each slice shows the relative size of each category as a percentage of the total. A pie chart is useful when the categories are mutually exclusive and add up to 100%. The table shows the favorite color and the number of responses for each color, which can be easily converted into percentages. A pie chart can show how each color contributes to the total number of responses.
Option A is incorrect because a histogram is used to show how data points are distributed along a numerical scale. The survey response data set is not numerical, but categorical.
Option C is incorrect because a line chart is used to show trends or changes over time. The survey response data set does not have a time dimension.
Option D is incorrect because a scatter plot is used to show the relationship between two numerical variables. The survey response data set does not have two numerical variables.
Option E is incorrect because a waterfall chart is used to show how an initial value is increased or decreased by a series of intermediate values. The survey response data set does not have an initial value or intermediate values.
Reference:
How to Choose the Right Chart for Your Data - Infogram
How to Choose the Right Data Visualization | Tutorial by Chartio
Find the Best Visualizations for Your Metrics - The Data School
How to choose the best chart or graph for your data


質問 # 65
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