참고: ExamPassdump에서 Google Drive로 공유하는 무료 2025 CompTIA DA0-001 시험 문제집이 있습니다: https://drive.google.com/open?id=1CLlDguHKIoB7lvn4X7Z-VBtB3P31srrz
IT업계에 종사하는 분들은 치열한 경쟁을 많이 느낄것입니다. 치열한 경쟁속에서 자신의 위치를 보장하는 길은 더 많이 배우고 더 많이 노력하는것 뿐입니다.국제적으로 인정받은 IT인증자격증을 취득하는것이 제일 중요한 부분이 아닌가 싶기도 합니다. 다른 분이 없는 자격증을 내가 소유하고 있다는 생각만 해도 뭔가 안전감이 느껴지지 않나요? 더는 시간낭비하지 말고ExamPassdump의CompTIA인증 DA0-001덤프로CompTIA인증 DA0-001시험에 도전해보세요.
Comptia DA0-001 (Comptia Data+ Certification) 인증 시험은 데이터 관리에 대한 기술과 지식을 입증하려는 IT 전문가에게 필수 인증입니다. 인증은 전 세계적으로 인정되며 공급 업체 중립적이며 광범위한 기술 및 플랫폼에서 일하고 싶은 IT 전문가에게 매력적인 인증이됩니다.
CompTIA DA0-001 시험은 데이터와 관련된 전문가들에게 중요한 자격증입니다. 데이터 관리, 분석 및 보안에 대한 높은 수준의 지식과 전문성을 증명합니다. 이 자격증을 보유한 전문가들은 전 세계적으로 비즈니스 및 조직에서 데이터가 점점 더 중요해지면서 다양한 산업에서 높은 수요를 받게 될 것입니다. CompTIA DA0-001 시험에 합격함으로써 전문가들은 자신의 분야에서 탁월함에 대한 약속을 증명하고 경력을 한 단계 더 나아갈 수 있습니다.
CompTIA DA0-001인증덤프는 최근 출제된 실제시험문제를 바탕으로 만들어진 공부자료입니다. CompTIA DA0-001 시험문제가 변경되면 제일 빠른 시일내에 덤프를 업데이트하여 최신버전 덤프자료를CompTIA DA0-001덤프를 구매한 분들께 보내드립니다. 시험탈락시 덤프비용 전액환불을 약속해드리기에 안심하시고 구매하셔도 됩니다.
질문 # 127
Samantha needs to share a list of her organization's top 50 customers with the VP of sales.
She would like to include the name of the customer, the business they represent, their contact information, and their total sales over the past year.
The VP does not have any specialized analytics skills or software but would like to make some personal notes on the dataset.
What would be the best tool for Samantha to use to share this information?
정답：A
설명：
Microsoft Excel.
This scenario presents a very simple use case where the business leader needs a dataset in an easy-to-access form and will not be performing any detailed analysis.
A simple spreadsheet, such as Microsoft Excel, would be the best tool for this job.
There is no need to use a statistical analysis package, such as SAS or Minitab, as this would likely confuse the VP without adding any value. The same is true of an integrated analytics suite, such as Power BI.
질문 # 128
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?
정답：A
설명：
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.
References:
* 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
질문 # 129
A data analyst reviews the following data set:
Which of the following is the range value?
정답：B
질문 # 130
Which of the following is an example of PII?
정답：B
설명：
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
질문 # 131
Given the following data table:
Which of the following are appropriate reasons to undertake data cleansing? (Select two).
정답：B,E
설명：
Data cleansing is a critical process in data analytics to ensure the accuracy and quality of data. The reasons to undertake data cleansing include:
Missing Data (B): Missing data can lead to incomplete analysis and biased results. It is essential to identify and address gaps in the dataset to maintain the integrity of the analysis1.
Invalid Data (D): Invalid data includes entries that are out of range, improperly formatted, or illogical (e.g., a negative age). Such data can corrupt analysis and lead to incorrect conclusions1.
Other options, such as non-parametric data (A), are not inherently errors but refer to a type of data that doesn't assume a normal distribution. Duplicate data and redundant data (E) could also be reasons for data cleansing, but they are not listed as options to select from in the provided image details. Normalized data (F) refers to data that has been processed to fit into a certain range or format and is typically not a reason for data cleansing.
Reference:
Understanding the importance of data quality and the impacts of missing and invalid data on research outcomes1.
Best practices in data cleansing2.
Data cleansing is required for various reasons, two of which are missing data (B) and invalid data (D). From the table provided, we can infer the necessity of cleansing in the context of ensuring data integrity and consistency. Missing data refers to the absence of data where it is expected, which can hinder analysis due to incomplete information. Invalid data refers to data that is incorrect, out of range, or in an inappropriate format, which can lead to inaccuracies in any analysis or report. Both these issues can significantly affect the outcomes of any data-related operations and thus need to be rectified through the data cleansing process.
질문 # 132
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DA0-001인증시험은 IT업계에 종사하고 계신 분이시라면 최근 많은 인기를 누리고 있다는 것을 알고 계실것입니다. DA0-001인증시험을 패스하여 자격증을 취득하는데 가장 쉬운 방법은 ExamPassdump에서 제공해드리는 DA0-001덤프를 공부하는 것입니다. CompTIA DA0-001덤프에 있는 문제와 답만 기억하시면 DA0-001시험을 패스하는데 많은 도움이 됩니다.덤프구매후 최신버전으로 업데이트되면 업데이트버전을 시스템 자동으로 구매시 사용한 메일주소로 발송해드려 덤프유효기간을 최대한 길게 연장해드립니다.
DA0-001최고품질 덤프자료: https://www.exampassdump.com/DA0-001_valid-braindumps.html
참고: ExamPassdump에서 Google Drive로 공유하는 무료, 최신 DA0-001 시험 문제집이 있습니다: https://drive.google.com/open?id=1CLlDguHKIoB7lvn4X7Z-VBtB3P31srrz
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