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[General] DA0-001 Test Simulator Online | DA0-001 Relevant Questions

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【General】 DA0-001 Test Simulator Online | DA0-001 Relevant Questions

Posted at 1/17/2026 04:04:21      View：28 | Replies：0        Print      Only Author   [Copy Link] 1#
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CompTIA DA0-001 certification exam is a challenging test that requires dedication and preparation. DA0-001 exam consists of 90 multiple-choice questions that candidates need to complete within 90 minutes. Candidates need to score at least 720 out of 900 to pass the exam. CompTIA Data+ Certification Exam certification is valid for three years, and candidates need to renew it through continuing education or retaking the exam. Overall, the CompTIA DA0-001 certification exam is an excellent way for professionals to demonstrate their expertise in data management and advance their careers.
CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is a vendor-neutral certification that is designed to test and validate the knowledge and skills of professionals who are involved in data management. CompTIA Data+ Certification Exam certification is ideal for individuals who are looking to pursue a career in data management, data analysis, and data administration. DA0-001 exam covers a wide range of topics such as data storage, data security, data privacy, and data analysis.
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CompTIA Data+ Certification Exam Sample Questions (Q189-Q194):NEW QUESTION # 189
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
  • A. IBM SPSS
  • B. Python
  • C. SAS
  • D. Microsoft Power BI
Answer: B
Explanation:
Explanation
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. References: [What is Python? | Definition and Examples],
[Python Libraries for Data Science]

NEW QUESTION # 190
An analyst is designing a dashboard that will provide a story of the sales and sales customer ratio. The following data is available:

Which of the following charts should the analyst consider including in the dashboard?
  • A. A pie chart with site and sales
  • B. A line chart with site and sales
  • C. A scatter chart with site and sales
  • D. A column chart with site and sales
Answer: D
Explanation:
For a dashboard that aims to tell a story about sales and the sales customer ratio, a column chart is an effective choice. Column charts are particularly useful for showing data changes over a period of time or for illustrating comparisons among items. In this case, a column chart can clearly display the sales figures for each site, allowing for easy comparison across different sites. Additionally, it can be used to represent the sales customer ratio by showing the proportion of sales per customer, which can provide insights into customer behavior and sales effectiveness.
Line charts are best suited for displaying data trends over time, rather than for comparing individual categories.
Pie charts could show the proportion of sales for each site, but they are not as effective as column charts for comparing multiple categories.
Scatter charts are used to show the relationship between two variables, which is not the focus in this scenario.
Reference:
Effective Use of Column Charts1
Choosing the Right Chart for Your Data2
Sales Dashboards: Examples & Templates3

NEW QUESTION # 191
Which of the following is an example of a strategy to reduce statistical errors?
  • A. Recoding data
  • B. Adding more data
  • C. Transformation
  • D. Removing outliers
Answer: B
Explanation:
Adding more data reduces statistical errors by improving the reliability and accuracy of statistical measures. A larger sample size helps balance variations and minimizes the impact of outliers.
Reference: CompTIA Data+ DA0-001 Official Guide

NEW QUESTION # 192
An analyst wants to test the association between the number of doors in a car and the number of gears in the car. Which of the following is the best test to use?
  • A. Acceptance test
  • B. Z-test
  • C. Chi-squared test
  • D. F-test
Answer: C
Explanation:
The Chi-squared test is used to determine whether there is a statistical association between two categorical variables. In this case, both "number of doors" and "number of gears" are categorical variables, making the chi-squared test the appropriate method.
Reference: CompTIA Data+ DA0-001 Official Guide

NEW QUESTION # 193
Consider the following dataset which contains information about houses that are for sale:

Which of the following string manipulation commands will combine the address and region name columns to create a full address?
full_address------------------------- 85 Turner St, Northern Metropolitan 25 Bloomburg St, Northern Metropolitan 5 Charles St, Northern Metropolitan 40 Federation La, Northern Metropolitan 55a Park St, Northern Metropolitan
  • A. SELECT CONCAT(address, '-' , regionname) AS full_address FROM melb LIMIT 5;
  • B. SELECT CONCAT(regionname, '-' , address) AS full_address FROM melb LIMIT 5;
  • C. SELECT CONCAT(regionname, ' , ' , address) AS full_address FROM melb LIMIT 5
  • D. SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT 5;
Answer: D
Explanation:
Explanation
The correct answer is A: SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT
5; String manipulation (or string handling) is the process of changing, parsing, splicing, pasting, or analyzing strings. SQL is used for managing data in a relational database. The CONCAT () function adds two or more strings together. Syntax CONCAT(stringl, string2,... string_n) Parameter Values Parameter Description stringl, string2, string_n Required. The strings to add together.

NEW QUESTION # 194
......
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