RELIABLE DA0-001 TEST GUIDE, DA0-001 VALID EXAM ONLINE

Reliable DA0-001 Test Guide, DA0-001 Valid Exam Online

Reliable DA0-001 Test Guide, DA0-001 Valid Exam Online

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CompTIA Data+ Certification Exam Sample Questions (Q74-Q79):

NEW QUESTION # 74
A data analyst is attempting to understand how ice cream consumption is affected by different attributes. such as cost, temperature. and income level. Which of the following regression analyses should the data analyst perform to understand this relationship?

  • A. Cox
  • B. Logistic
  • C. Polynomial
  • D. Ordinary least squares

Answer: D

Explanation:
Answer B) Ordinary least squares
Ordinary least squares (OLS) is a type of linear regression that is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is reasonably linear. The response variable is a continuous numeric variable1.
In this case, the data analyst is interested in understanding how ice cream consumption (the response variable) is affected by different attributes, such as cost, temperature, and income level (the predictor variables). Assuming that these variables have a linear relationship, OLS can be used to estimate the coefficients of the regression equation that best fits the dat a. OLS can also provide measures of goodness-of-fit, such as R-squared and adjusted R-squared, and test the significance of the coefficients using t-tests and F-tests2.
Option A is incorrect, as logistic regression is used to fit a regression model that describes the relationship between one or more predictor variables and a binary response variable. Use when: The response variable is binary - it can only take on two values1. Ice cream consumption is not a binary variable, but rather a continuous numeric variable.
Option C is incorrect, as Cox regression is used to fit a regression model that describes the relationship between one or more predictor variables and a survival time response variable. Use when: The response variable is the time until an event of interest occurs, such as death, failure, or recovery3. Ice cream consumption is not a survival time variable, but rather a continuous numeric variable.
Option D is incorrect, as polynomial regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is non-linear1. If there is no evidence of non-linearity in the data, polynomial regression may not be appropriate, as it may overfit the data and produce unreliable estimates.


NEW QUESTION # 75
Given the diagram below:

Which of the following types of sampling is depicted in the image?

  • A. Cluster
  • B. Stratified
  • C. Random
  • D. Systematic

Answer: D

Explanation:
Explanation
Systematic sampling is a type of sampling where the sample is selected by following a fixed interval. For example, every 10th person in a list is chosen for the sample. In the image, the sample is selected by choosing every 3rd person in the line, starting from person number 1. This is an example of systematic sampling.
References: Types of Sampling Techniques in Data Analytics You Should Know, Sampling Methods | Types, Techniques & Examples - Scribbr


NEW QUESTION # 76
A data analyst has been asked to derive a new variable labeled "Promotion_flag" based on the total quantity sold by each salesperson. Given the table below:

Which of the following functions would the analyst consider appropriate to flag "Yes" for every salesperson who has a number above 1,000,000 in the Quantity_sold column?

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

Answer: B


NEW QUESTION # 77
Which of the following data protection methods provides confidentiality for data in transit?

  • A. Masking
  • B. Encryption
  • C. Anonymization
  • D. De-identification

Answer: B


NEW QUESTION # 78
An analyst notices changes in sales ratios when analyzing a quarterly report. Which of the following is the analyst conducting?

  • A. A link analysis
  • B. A gap analysis
  • C. A trend analysis
  • D. A statistical analysis

Answer: C

Explanation:
When an analyst observes changes in sales ratios over a period, such as in a quarterly report, they are conducting a trend analysis. Trend analysis is a statistical method used to examine and evaluate the movement of data points over time to identify patterns or trends. This type of analysis is particularly useful for forecasting future events based on historical data. It differs from gap analysis, which assesses the difference between actual performance and potential or desired performance; link analysis, which is used to find associations among data; and statistical analysis, which is a broad term for all types of data analysis methods, including trend analysis.
References:
* Investopedia article on Ratio Analysis1.
* SpringerLink chapter on Financial Ratios Analysis2.
* ExamTopics page mentioning sales ratios in the context of analysis3.
* Investopedia definition of Ratio Analysis4.
* LiveWell article on Financial Ratio Analysis5.


NEW QUESTION # 79
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