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SASInstitute A00-406 Exam Syllabus Topics:

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

1. 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 initialize the model
C) To control the number of hidden layers
D) To define the learning rate

2. What is the purpose of data profiling in data source management?

A) To create data visualizations
B) To execute data queries
C) To optimize data storage
D) To assess the quality and characteristics of data

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

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

4. What is a data lake?

A) A specialized database for time-series data
B) A backup system for relational databases
C) A centralized repository for storing all structured and unstructured data at any scale
D) A data storage solution designed for high-speed data retrieval

5. What is "model versioning" in the context of model deployment?

A) The process of training a model from scratch
B) The process of evaluating model performance
C) The practice of keeping track of different versions of a model to maintain reproducibility
D) The process of creating synthetic data

Solutions: