Quiz 2024 EMC D-DS-FN-23: Latest Authorized Dell Data Scientist and Big Data Analytics Foundations 2023 Exam Dumps

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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions (Q168-Q173):

NEW QUESTION # 168
In naïve Bayes implementations, how is the possibility of zero probabilities resulting from unobserved attribute/classifier pairs properly handled?

A. Add a large quantity to each of the observed counts
B. Square the observed counts
C. Add a small quantity to each of the observed counts
D. Double the observed counts

Answer: C

NEW QUESTION # 169
When creating a presentation for a technical audience, what is the main objective?

A. Show that you met the project goals
B. Show how you met the project goals
C. Show if the model will meet the SLA
D. Show the technique to be used in the production environment

Answer: B

NEW QUESTION # 170
To ensure a successful analytic project, which key role can provide business domain expertise with a deep understanding of the data and key performance indicators?

A. Business Intelligence Analyst
B. Project Manager
C. Business User
D. Project Sponsor

Answer: A

NEW QUESTION # 171
In text analysis, what makes the corpus representation dynamic?

A. Inherent high dimensionality in the problem of text analysis
B. Requirement to update index and corpus metrics continuously
C. Search and retrieval process for finding the document that meets the search criteria
D. Algorithms used to determine the classification or tagging

Answer: B

NEW QUESTION # 172
Refer to exhibit.

You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables A, B, and C have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?

A. Create interaction variables based only on variables A, B, and C
B. Force all 15 variables into the model as independent variables
C. Break variables A, B, and C into their own univariate models
D. Create clusters based on the data and use them as model inputs

Answer: D

NEW QUESTION # 173
......

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