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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Regression
B) Classification
C) Dimensionality reduction
D) Clustering

2. What is the purpose of hyperparameter tuning in a machine learning pipeline?

A) To select the most important features
B) To train the model
C) To optimize the model's hyperparameters for better performance
D) To evaluate the model's predictions

3. What does API stand for in the context of data sources?

A) Application Program Interface
B) Automated Program Integration
C) Advanced Programming Integration
D) Application Programming Interface

4. In a machine learning pipeline, what is the purpose of cross-validation?

A) To train multiple models on different subsets of the data to assess generalization
B) To evaluate the model's performance on new data
C) To split the dataset into training and testing sets
D) To visualize the data distribution

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

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

Solutions: