SASInstitute A00-406

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Universal answer template

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SASInstitute A00-406 Exam Syllabus Topics:

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

Question #1
In the context of data sources, what is ETL?

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

Question #2
What is the primary purpose of model assessment in the context of data science and machine learning?

A. Model building
B. Data preprocessing
C. Data visualization
D. Evaluating and selecting the best-performing model

Question #3
In the context of data integration, what does "data transformation" refer to?

A. Extracting data from source systems
B. Storing data in a centralized repository
C. Converting and reshaping data to match the target schema
D. Backing up data for disaster recovery

Question #4
Which type of model is typically used for time-series forecasting?

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

Question #5
What is the primary role of a data warehouse in an organization?

A. Data transformation and cleaning
B. Real-time data analysis
C. Long-term data storage and analysis
D. Data exploration and visualization

Solutions: