Online Access Free C-PAII10-35 Exam Questions

The application allows you to refine a currently open model. For
instance, you can:
Note: There are 2 correct answers to this question.

• A.Reduce the number of explanatory variables used by the model while
  maintaining the initial quality
• B.The server port (by default: 12347 for the authenticated server)
• C.Generate a model of degree 2 using the most significant variables of the degree 1 model.

What type of join is generated when creating
Analytical Data Set and Data Manipulation from the
Data Manager?
Note: There are 1 correct answers to this question.

• A.Cross join (Cartesian product)
• B.Left outer join
• C.Inner join
• D.Right outer join

The option Analyze Deviations is a tool that provides you with a diagnostic of the data statistical variation. This option can be used for several purposes:
Note: There are 3 correct answers to this question.

• A.to check the quality of new data after loading them,
• B.The Root entries are used for tracing the activity of the server which can later be used for debugging purposes.
• C.to compare the distribution of a new dataset with the distribution of the dataset used to train the model,
• D.to check if your data have evolved over time and thus if the model need to be adapted to the new data.

The variable "product purchased" is your target variable:
it corresponds to your business issue. It is:
Note: There are 2 correct answers to this question.

• A.Known for all values of the training dataset.
• B.knows the main Linux administration commands (managing
  users, groups, and so on),
• C.knows how to set up ODBC drivers on Linux systems.
• D.Not known for the values of the application dataset.

If you let the structure as undefined, the application uses consistent
coder to automatically determine the categories grouping depending on their interaction with the target variable. You can configure two parameters in this case:
Note: There are 2 correct answers to this question.

• A.Modeler - Data Encoding optimal grouping for all variables
• B.The band count for continuous variables
• C.listing active connections, with information such as user, last activity time stamp, number of current models,
• D.listing the state of models being within each connection,