Use Real SASInstitute Achieve the A00-406 Dumps – 100% Exam Passing Guarantee [Q33-Q57]

NO.33 What does “data lineage” refer to in the context of data source management?

NO.34 Which data source typically provides access to real-time financial market data?

NO.35 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:

NO.36 In machine learning, what does “overfitting” refer to?

NO.37 When deploying a model, what is “model explainability”?

NO.38 What is the primary purpose of model deployment in the context of data science and machine learning?

NO.39 Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

NO.40 Which algorithm is commonly used for decision-making tasks in classification models?

NO.41 What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

NO.42 What is “model versioning” in the context of model deployment?

NO.43 What is a data lake?

NO.44 What is the primary difference between supervised and unsupervised learning in model building?

NO.45 What is the primary function of a data catalog in managing data sources?

NO.46 What is the primary goal of building models in data science and machine learning?

NO.47 What is “model deployment” in the context of data science and machine learning?

NO.48 What is the primary objective of model validation during the model assessment phase?

NO.49 When building a recommendation system, which type of filtering is based on the user’s behavior and preferences?

NO.50 Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

NO.51 What does API stand for in the context of data sources?

NO.52 What does the term “bias” in machine learning refer to?

NO.53 When deploying a machine learning model, what is “model drift”?

NO.54 Which feature extraction method can take both interval variables and class variables as inputs?

NO.55 What is the main advantage of ensemble methods in model building?

NO.56 In the context of data sources, what is ETL?

NO.57 Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?