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New D-DS-FN-23 Test Guide | Test D-DS-FN-23 Free

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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions (Q131-Q136):

NEW QUESTION # 131
What describes the use of UNION clause in a SQL statement?

A. Operates on tables and potentially decreases the number of columns
B. Operates on queries and potentially increases the number of rows
C. Operates on queries and potentially decreases the number of rows
D. Operates on both tables and queries and potentially increases both the number of rows and columns

Answer: B

NEW QUESTION # 132
You are assigned the task of creating customer profiles for your company. In your database, you have
25 key input variables that come together to define 2,500 customers. You decide to run a K-means cluster analysis on the 25 input variables based on k=4 to build your profiles.
Your analysis resulted in four cluster populations:
Cluster A=1,000 customers
Cluster B=560 customers
Cluster C=925 customers
Cluster D=15 customers
What should be attempted first to more evenly distribute the customer population across clusters?

A. Increase K from 4 to 5
B. Reduce K from 4 to 3
C. Remove the 15 customers in Cluster D from the population
D. Remove some of the input variables from the analysis

Answer: B

NEW QUESTION # 133
In naïve Bayes implementations, how is the possibility of zero probabilities resulting from unobserved attribute/classifier pairs properly handled?

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

Answer: B

NEW QUESTION # 134
You need to run a hypothesis test across three normally distributed populations.
Which technique should you use?

A. Z-test
B. ANOVA
C. Welch's t-test
D. Wilcoxon rank sum test

Answer: B

NEW QUESTION # 135
What is holdout data?

A. a subset of the provided data set selected at random and used to validate the model
B. a subset of the provided data set selected at random and used to initially construct the model
C. a subset of the provided data set that is removed by the data scientist because it contains outliers
D. a subset of the provided data set that is removed by the data scientist because it contains data errors

Answer: A

NEW QUESTION # 136
......

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