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SASInstitute A00-406 Exam Syllabus Topics:

SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

1. Which statements are true for the F1 score?
(Choose 2.)

A) F1 score is calculated based on a cut off value.
B) F1 score is calculated based on a depth value.
C) F1 score is applicable to a model with a binary target.
D) F1 score is applicable to a model with an interval target.

2. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm6
B) Logi_rfm8
C) Logi_rfm12
D) Logi_rfm4

3. What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?

A) To measure the dissimilarity between predicted and actual class probabilities
B) To evaluate feature importance
C) To calculate the mean squared error of a regression model
D) To quantify the variance of a model

4. When deploying a machine learning model, what is "model drift"?

A) A measure of feature importance
B) A change in the distribution of the input data or target variable over time
C) A sudden increase in the model's accuracy
D) The process of feature extraction

5. What is the primary purpose of model deployment in the context of data science and machine learning?

A) Model building
B) Making the model available for use in real-world applications
C) Data preprocessing
D) Model evaluation

Solutions: