SASInstitute A00-406 Actual Tests : SAS® Viya® Supervised Machine Learning Pipelines

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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

2. What is a data lake architecture designed to store primarily?

A) Data from a single source or department
B) Only unstructured data in raw form
C) All types of data, including structured and unstructured data
D) Highly structured data in tabular format

3. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A) They are not suitable for large datasets.
B) They are simple and easy to interpret.
C) They require minimal data preprocessing.
D) They combine multiple models to improve predictive performance.

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

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

5. Which feature extraction method can take both interval variables and class variables as inputs?

A) Principal component analysis
B) Autoencoder
C) Singular value decomposition
D) Robust PCA

Solutions: