QUIZ FANTASTIC DA0-001 - COMPTIA DATA+ CERTIFICATION EXAM DUMPS COST

Quiz Fantastic DA0-001 - CompTIA Data+ Certification Exam Dumps Cost

Quiz Fantastic DA0-001 - CompTIA Data+ Certification Exam Dumps Cost

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CompTIA DA0-001 exam is a multiple-choice exam that consists of 90 questions. DA0-001 exam duration is 90 minutes, and the passing score is 720 on a scale of 100-900. DA0-001 exam is available in English, Japanese, and Portuguese. DA0-001 Exam Fees vary by location, and candidates can register for the exam through the Pearson VUE website.

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CompTIA DA0-001 certification exam is highly recommended for individuals who are interested in pursuing a career in the data management field. CompTIA Data+ Certification Exam certification is recognized globally, and it provides skilled professionals with several opportunities to progress their careers. Furthermore, employers globally seek professionals with this certification, thereby increasing the employment opportunities for people with this certification.

CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is a highly respected certification in the IT industry. CompTIA Data+ Certification Exam certification is designed to validate the skills and knowledge of IT professionals who work with data. CompTIA Data+ Certification Exam certification covers a wide range of topics related to data management, including database design, data analysis, data security, and data warehousing.

CompTIA Data+ Certification Exam Sample Questions (Q268-Q273):

NEW QUESTION # 268
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.

  • A. False.
  • B. True.

Answer: A

Explanation:
The statement is false. You should not always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly, time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or processes. It may also require additional training, maintenance, and support. Therefore, you should always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus using an existing one. You should also evaluate the feasibility, availability, and reliability of the new tool before making a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy


NEW QUESTION # 269
An analyst has generated a report that includes the number of months in the first two quarters of 2019 when sales exceeded $50,000:

Which of the following functions did the analyst use to generate the data in the Sales_indicator column?

  • A. Aggregate
  • B. Logical
  • C. Date
  • D. Sort

Answer: A


NEW QUESTION # 270
A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO).
Which of the following should be included in the report?

  • A. The sales representatives' home addresses.
  • B. The customers' first and last names.
  • C. YTD total sales.
  • D. Line-item SKU numbers.

Answer: C

Explanation:
The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives' home addresses, line-item SKU numbers, and customers' first and last names are not related to the sales performance and might compromise the privacy and security of the data. Reference: CompTIA Data+ (DA0-
001) Practice Certification Exams | Udemy


NEW QUESTION # 271
Which of the following would be the best way to identify multicollinear attributes in a data set?

  • A. Two-sample f-test
  • B. Two-way ANOVA
  • C. Correlation coefficient
  • D. Chi-squared test

Answer: C

Explanation:
Multicollinearity in a dataset refers to the situation where two or more predictor variables are highly correlated, meaning that one can be linearly predicted from the others with a substantial degree of accuracy. In such cases, the correlation coefficient is a key statistical measure used to identify the presence of multicollinearity. It quantifies the degree to which two variables are linearly related.
The Variance Inflation Factor (VIF) is another commonly used metric that is derived from the correlation coefficient. It assesses how much the variance of an estimated regression coefficient increases if your predictors are correlated. If no factors are correlated, the VIFs will all be equal to 1.
While the other options listed-Chi-squared test, Two-sample f-test, and Two-way ANOVA-are valuable statistical tools, they serve different purposes and are not typically used to detect multicollinearity. The Chi-squared test is used for testing relationships between categorical variables, the Two-sample f-test compares variances across groups, and Two-way ANOVA is used to understand the interaction between two independent categorical variables on a continuous dependent variable.
Reference:
Multicollinearity in Regression Analysis: Problems, Detection, and Solutions1.
What is multicollinearity and how to remove it?2.
Detect and Treat Multicollinearity in Regression with Python3.


NEW QUESTION # 272
A data analyst who works for a government agency is required to obtain the average income of citizens. The list of citizens is given in the following table:

A value for one citizen's income is missing. Which of the following approaches should the data analyst take to solve this issue?

  • A. Replace the missing value with the average of the rest of the unemployed citizens.
  • B. Impute the mean of the other citizens' incomes into the field with the missing value.
  • C. Exclude employed citizens from the analysis.
  • D. Insert the value 0 into the field with the missing value.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:
Handling missing datais crucial for maintaining the integrity of an analysis. Since the missing value belongs to anemployedindividual, the most appropriate method is toimpute the mean income of employed citizens.
* Option A (Replace the missing value with the average of unemployed citizens):Incorrect. The missing income is for anemployedindividual, so it would be inappropriate to use the unemployed citizens' average.
* Option B (Insert 0):Incorrect. Assigning 0 would be misleading since it does not reflect the income distribution for employed citizens.
* Option C (Impute the mean of the other citizens' incomes):Correct.A common practice in data analytics ismean imputation, where missing values are replaced with the mean of similar cases (in this case, other employed citizens).
* Option D (Exclude employed citizens from the analysis):Incorrect. This would remove valuable data and lead to biased results.


NEW QUESTION # 273
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