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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

A) There are no hidden units in the model.
B) The number of hidden units is 1.
C) The number of hidden units is 50.
D) The number of hidden units is 26.

2. What is the primary difference between supervised and unsupervised learning in model building?

A) The amount of labeled data required
B) The presence or absence of a target variable
C) The type of data used
D) The use of feature engineering

3. What is the purpose of data profiling in data source management?

A) To execute data queries
B) To create data visualizations
C) To assess the quality and characteristics of data
D) To optimize data storage

4. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Random Forest
B) K-Means Clustering
C) Support Vector Machine (SVM)
D) Linear Regression

5. Which statement is true regarding decision trees and models based on ensembles of trees?

A) In the gradient boosting algorithm, for all but the first iteration, the target is the residual from the previous decision tree model.
B) In the Forest algorithm, each individual tree is pruned based on using minimum Average Squared Error.
C) A single decision tree will always be outperformed by a model based on an ensemble of trees.
D) For a Forest model, the out-of-bag sample is simply the original validation data set from when the raw data partitioning took place.

Solutions: