Question No. 1

To Display the Graphs for the Training, Validation, and

Testing Sub-sets Click Dataset and select one of the following

options that allow you to switch between:

Note: There are 2 correct answers to this question.

Athe graph for the Validation sub-set:

Bthe graphs for all the sub-sets:

CThe HTTP port (usually, 80).

DThe Name Server (usually port 12345).

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Correct Answer: A, B

Question No. 2

Once the PAi application is installed correctly, the most common expected error to be encountered is that the system does not have succulent rows of data to successfully build a predictive model. For the PAi

application to work correctly, you need a minimum number of rows of data to train your predictive model. The number of required rows will vary from scenario to scenario and is dependent on the model type and the data.

There are two main ways to handle this issue:

Note: There are 2 correct answers to this question.

AIf you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.

BThe Predictive Factory server contains a group of services handled by the Server Intelligence Agent (SIA). The services can be stopped and started with the Start and Stop Predictive Factory commands.

CYou can verify the data via normal ABAP tools to see if succulent records are present. For example, by doing a data preview on the Predictive Scenario data source, taking into account any model version footer's, you can see how many records are returned.

DCommunication between the Predictive Factory server and clients uses HTTP. You can configure encrypted communication (HTTPS) using Secure Sockets Layer (SSL) or Transport Layer Security (TLS)

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Correct Answer: A, C

Question No. 3

The Model Autosave panel allows you to activate the option that will automatically save the model at the end of the generation process and to set the parameters needed when saving the model. To activate the option, proceed as follows:

Note: There are 3 correct answers to this question.

AIn the Summary of Modeling Parameters panel, click the Autosave
button. The Model Autosave panel is displayed.

BCheck Enable Model Autosave.

CBe granted the SELECT SQL Privileges.

DSet the parameters listed in the following table.

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Correct Answer: A, B, D

Question No. 4

There are three ways to set the threshold using the displayed slide bar:

Note: There are 3 correct answers to this question.

ABy selecting the percentage of population to target if the population is sorted by
descending order of score

BBy selecting the percentage of positive observations you want to detect

CBy selecting the score used to differentiate positive observations from negative
ones considered positive, on the contrary any observation with a score below the
threshold is considered negative.

DIt is recommended to install the application as a Windows service on a production
environment.

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Correct Answer: A, B, C

Question No. 5

There are several interesting things to note about normal profit:

Note: There are 3 correct answers to this question.

AThe normal profit of category is independent of the target values themselves will
not change

BA consequence of 1 is that this metric is resistant to outliers: when there are a few
occurrences of the target with very high values with respect to the rest of the target
value distributions, the notion of normal profit is not impacted.

CTo test the latest version of the application without impacting the current
production environment.

DThe weighted sum of the normal profit for all categories of a given variables will
always be 0.

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Correct Answer: A, B, D

Free SAP C_PAII10_35 Exam Actual Questions

The questions for C_PAII10_35 were last updated On Nov 21, 2024