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Exam Code:	A00-406
Exam Name:	SAS® Viya® Supervised Machine Learning Pipelines
Certification Provider:	SASInstitute
Free Question Number:	41
Version:	v2024-08-26
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Exam Question List: Question 1: What is the primary purpose of "continuous integration and c...; Question 2: What is a data lake?; Question 3: What is the primary goal of A/B testing in the context of mo...; Question 4: What is the purpose of cross-validation in model building an...; Question 5: What is the primary goal of building models in data science ...; Question 6: Which machine learning technique is typically used for build...; Question 7: In reinforcement learning, what is the "reward signal"?...; Question 8: Which SAS Viya component is typically used for deploying and...; Question 9: Which evaluation metric is commonly used for assessing the p...; Question 10: What is the primary goal of hyperparameter tuning during mod...; Question 11: A project has been created and a pipeline has been run in Mo...; Question 12: Which type of model is typically used for time-series foreca...; Question 13: When deploying a model, what is "model explainability"?...; Question 14: What is the significance of the "bias-variance trade-off" in...; Question 15: Which technique is used for feature selection in a machine l...; Question 16: In natural language processing (NLP), what is a common prepr...; Question 17: What is the purpose of hyperparameter tuning in a machine le...; Question 18: What is the purpose of data profiling in data source managem...; Question 19: Which of the following is a common source for external data ...; Question 20: What is a data lake architecture designed to store primarily...; Question 21: What is the primary function of a data catalog in managing d...; Question 22: What is "model deployment" in the context of data science an...; Question 23: What is the primary purpose of model documentation in the mo...; Question 24: In a supervised machine learning pipeline, what is the purpo...; Question 25: In a supervised learning pipeline, what is the role of the t...; Question 26: What is feature engineering in the context of machine learni...; Question 27: What is metadata in the context of data sources?...; Question 28: Which of the following metrics is commonly used to evaluate ...; Question 29: In the context of data sources, what is ETL?...; Question 30: When building a deep learning neural network, what is the pu...; Question 31: Which feature extraction method can take both interval varia...; Question 32: When deploying a machine learning model, what is "model drif...; Question 33: When building a recommendation system, what does "collaborat...; Question 34: Which data source typically provides access to real-time fin...; Question 35: What is "model versioning" in the context of model deploymen...; Question 36: What is the main goal of data preprocessing in a machine lea...; Question 37: What is the purpose of regularization techniques in model bu...; Question 38: What does "feature selection" refer to in the context of mod...; Question 39: When assessing a classification model, what is the confusion...; Question 40: Which type of model is well-suited for solving classificatio...; Question 41: In the context of model building, what is the purpose of hyp...

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