First Attempt Guaranteed Success in D-DS-FN-23 Exam 2026 [Q116-Q133]

QUESTION 116
You need to run a hypothesis test across three normally distributed populations.
Which technique should you use?

QUESTION 117
Refer to the exhibit.

The graph represents an ROC space with four classifiers labelled A through D.
Which point in the graph represents a perfect classification?

QUESTION 118
Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes “A”, “B”, and “C”. It also shows the values for the output attribute “class”.
Which decision tree is valid for the data?

QUESTION 119
Refer to the exhibit.

You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabluated them as shown in the exhibit.
What are the Precision and Recall rate of the model?

QUESTION 120
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?

QUESTION 121
Refer to the exhibit.

You have plotted the distribution of savings account sizes for your bank.
How would you proceed, based on this distribution?

QUESTION 122
Which function shown in the exhibit is used to calculate the sample variance?

QUESTION 123
Consider a scale that has five (5) values that range from “not important” to “very important”.
Which data classification best describes this data?

QUESTION 124
Refer to the exhibit.

The graph represents an ROC space with four classifiers labelled A through D.
Which point in the graph represents a perfect classification?

QUESTION 125
Which process in text analysis can be used to reduce dimensionality?

QUESTION 126
The graphic shows the values for the input Boolean attributes “A”, “B”, and “C”. In addition, the graphic shows the values for the output attribute “class”.

Which Decision Tree is valid for the data?

QUESTION 127
A decision tree is being built. An internal node is being evaluated for partitioning on variables A and B.
The entropy of the internal node is 0.8. The entropy for each of the variables is as follows:
# Variable A: 0.5
# Variable B: 0.4
Which variable will be used to partition the data and what is the information gain?

QUESTION 128
What type of variable is the dependent variable from a logistic regression?

QUESTION 129
In a fitted ARIMA(1,2,3) model, how many differences are applied?

QUESTION 130
Refer to the exhibit.

You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of- squares (wss) data as shown in the exhibit.
How many customer groups should you specify?

QUESTION 131
You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database.
Which tool/library would you use to produce these models with the least effort?

QUESTION 132
You have plotted the distribution of savings account sizes for a bank.

Based on the distribution shown in the exhibit, how would you proceed?

QUESTION 133
Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk.
What would be the assigned probability, p(good), of a single male with no known savings?