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SASInstitute A00-406 Exam Syllabus Topics:

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

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

2. In machine learning, what does "overfitting" refer to?

A) A model that is undertrained and has high bias
B) A model that has too much complexity and fits the training data too closely
C) A model that is unable to make predictions
D) A model that performs well on new, unseen data

3. Which algorithm is commonly used for decision-making tasks in classification models?

A) K-Means
B) Decision Trees
C) Linear Regression
D) Principal Component Analysis (PCA)

4. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Singular Value Decomposition (SVD)
B) Matrix factorization
C) Content-based filtering
D) Collaborative filtering

5. In the context of data sources, what is ETL?

A) Execute, Terminate, Launch
B) Examine, Test, Log
C) Extract, Transform, Load
D) Efficient Text Link

Solutions: