A00-406 試験問題を無料オンラインアクセス

In model assessment, what is the purpose of feature importance analysis?

• A.To evaluate the significance of input features in making predictions
• B.To assess data quality
• C.To create synthetic features
• D.To visualize data distribution

What is the primary function of a data catalog in managing data sources?

• A.Data visualization
• B.Data analysis
• C.Data documentation and discovery
• D.Data storage

What is "model deployment" in the context of data science and machine learning?

• A.The process of data cleaning
• B.Making the model available for use in real-world applications
• C.The process of building a model
• D.The process of selecting features

A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

• A.Advisor Options for missing values
• B.Event-based Sampling proportions
• C.Rules for model comparison statistic
• D.Partition Data percentages

In reinforcement learning, what is the "reward signal"?

• A.A regularization parameter
• B.The accuracy of the model's predictions
• C.A numerical value that indicates the performance of an action taken by the agent
• D.The final prediction made by the model