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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

2. When deploying a model, what is "model explainability"?

A) The process of data preprocessing
B) The time it takes to make predictions
C) The simplicity of the model
D) The capability to interpret and understand the model's decisions and predictions

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

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

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

5. When deploying a machine learning model, what is "model drift"?

A) The process of feature extraction
B) A change in the distribution of the input data or target variable over time
C) A measure of feature importance
D) A sudden increase in the model's accuracy

Solutions: