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Latest D-DS-FN-23 Test Simulator, D-DS-FN-23 Exam Score
The Dell Data Scientist and Big Data Analytics Foundations 2023 (D-DS-FN-23) certification exam is one of the hottest and most industrial-recognized credentials that has been inspiring beginners and experienced professionals since its beginning. With the D-DS-FN-23 certification exam successful candidates can gain a range of benefits which include career advancement, higher earning potential, industrial recognition of skills and job security, and more career personal and professional growth.
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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions (Q256-Q261):
NEW QUESTION # 256
You are using a Logistic Regression model to determine if an applicant's gender is a factor in determining whether or not they receive a bank loan. When you plot the results, you notice that the regression coefficient is zero.
What can be determined?
- A. Applicant's gender influences the loan decision
- B. Sample size of the data is too large
- C. Sample size of the data is too small
- D. Applicant's gender does not influence the loan decision
Answer: D
NEW QUESTION # 257
Refer to the exhibit.
You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?
- A. The observations seem to come from two different populations, but this model fits them both equally well.
- B. The extreme-valued outliers may negatively affect the model's performance. Remove them to see if the R-squared improves over typical data.
- C. The R-squared is good. The model should perform well.
- D. The R-squared may be biased upwards by the extreme-valued outcomes. Remove them and refit to get a better idea of the model's quality over typical data.
Answer: D
NEW QUESTION # 258
Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing.
What will be your approach for loading data into the analytical sandbox for this analysis?
- A. ETL
- B. ELT
- C. EDW
- D. OLTP
Answer: B
NEW QUESTION # 259
If R factors are categorical variables, which data classification level are they most closely related?
- A. Ordinal
- B. Nominal
- C. Ratio
- D. Interval
Answer: B
NEW QUESTION # 260
In linear regression, what indicates that an estimated coefficient is significantly different than zero?
- A. R-squared near 1
- B. R-squared near 0
- C. A small p-value
- D. The estimated coefficient is greater than 3
Answer: C
NEW QUESTION # 261
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