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SASInstitute Reliable A00-406 Test Tutorial: SAS® Viya® Supervised Machine Learning Pipelines - PassLeader Bring Candidates good Valid Mock Test

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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q67-Q72):

NEW QUESTION # 67
What is the primary purpose of model documentation in the model deployment phase?

A. To evaluate the model's accuracy
B. To assess data quality
C. To provide information on the model's development, architecture, and usage
D. To create synthetic data

Answer: C

NEW QUESTION # 68
What is the main goal of data preprocessing in a machine learning pipeline?

A. To prepare the data for analysis and modeling
B. To visualize the data
C. To train the model
D. To remove irrelevant features

Answer: A

NEW QUESTION # 69
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:

A. There are no hidden units in the model.
B. The number of hidden units is 26.
C. The number of hidden units is 50.
D. The number of hidden units is 1.

Answer: B

NEW QUESTION # 70
What is the primary purpose of model deployment in the context of data science and machine learning?

A. Model building
B. Data preprocessing
C. Making the model available for use in real-world applications
D. Model evaluation

Answer: C

NEW QUESTION # 71
Which statement is true regarding decision trees and models based on ensembles of trees?

A. In the gradient boosting algorithm, for all but the first iteration, the target is the residual from the previous decision tree model.
B. A single decision tree will always be outperformed by a model based on an ensemble of trees.
C. For a Forest model, the out-of-bag sample is simply the original validation data set from when the raw data partitioning took place.
D. In the Forest algorithm, each individual tree is pruned based on using minimum Average Squared Error.

Answer: A

NEW QUESTION # 72
......

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