SASInstitute A00-406 real dump : 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:

Question 1

What is the primary objective of model evaluation in the context of building predictive models?

A. Discovering patterns in data
B. Visualizing data
C. Cleaning the data
D. Assessing the model's performance and accuracy

Question 2

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

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

Question 3

Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

A. Standardization
B. Decision Trees
C. One-Hot Encoding
D. Principal Component Analysis (PCA)

Question 4

Which data source allows for real-time data streaming and processing?

A. Static data files
B. Cloud storage
C. IoT devices
D. Data warehouses

Question 5

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

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

Solutions: