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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of model is typically used for time-series forecasting?

A) Logistic Regression
B) AutoRegressive Integrated Moving Average (ARIMA)
C) K-Means Clustering
D) Decision Trees

2. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To introduce non-linearity
B) To define the learning rate
C) To control the number of hidden layers
D) To initialize the model

3. 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 visualize the data distribution
C) To split the dataset into training and testing sets
D) To evaluate the model's performance on new data

4. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A) Microsoft SQL Server
B) MySQL
C) Oracle Database
D) MongoDB

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

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

Solutions: