C-PAII10-35 무료 덤프문제 온라인 액세스

To describe your data, you can:
Note: There are 2 correct answers to this question.

• A.Use an existing description file, that is, taken from your information system or saved from a previous use of Automated Analytics.
• B.Or create a description file using the Analyze option. In this case, it is important that you validate the description file obtained. You can save this file for later re-use.
• C.A web server such as Apache Web Server or Windows Internet
  Information Services (IIS).

On the model curve plot, different options allow you to visualize:
Note: There are 2 correct answers to this question.

• A.A web server (Apache Web Server for example). See the
  sections below to install Apache Web Server
• B.Exact profit values for a point for all the displayed curves.
• C.The curves for the different profit types: Detected, Lift,
  Normalized, and Customized. For more information on profit
  types, see the related topic.

A variable corresponds to an attribute which describes the observations stored in your database. For example, in a database containing information about your customers, the "name" and "address" of those customers are examples of variables. In Automated Analytics, a variable is defined by three aspects:
Note: There are 2 correct answers to this question.

• A.The type of variable: Continuous Variables whose values are numerical, continuous, and sortable. They can be used to calculate measures are sortable. Nominal Variables with discrete values that are not sortable. Textual A type of nominal variable containing phrases, sentences or complete texts. Textual variables are used for text analyses.
• B.The storage format of the variable
• C.With standalone installers on each targeted client system.
• D.The role of the variable: Target, Explanatory, or Weight

Depending on the type of the target, the model graph plot allows you to:
Note: There are 3 correct answers to this question.

• A.Compare the performance of the model generated with that of a random type model and that of a hypothetical perfect model when the target is nominal.
• B.View the realizable profit that pertains to your business issue using the model generated when the target is nominal.
• C.Compare the predicted value to the actual value when the target is continuous .
• D.A web server such as Apache Web Server or Windows Internet Information Services (IIS).

What is time Series?
Note: There are 2 correct answers to this question.

• A.The system account of the authenticated user, this is the default with the system authentication.
• B.different system account, as specified in a "User-Mapping" file. This file will specify, for each authenticated user name the name of a system account to be used.
  This feature is available only on Linux
• C.Identify and understand the phenomenon represented by your time series.
• D.Forecast the evolution of time series in the short and medium term, that is, predict their future values.