SAP C_PAII10_35 Exam Questions Instant Access

Question 1

Once the model has been generated, you must verify its validity by examining the performance indicators:

Note: There are 2 correct answers to this question.

AThe predictive power allows you to evaluate the explanatory power of the model, that is, its capacity to explain the target variable when applied to the training dataset. A perfect model possesses a predictive power of 1 and a completely random model possesses a predictive power of 0. No minimum threshold is required for the predictive power of a model. This depends upon the context of your work, that is, your domain of application, the nature of your data and your business issue. 26 P U B L I C Automated Analytics User Guides and Scenarios Modeling Concepts In some cases, a model with a predictive power as low as 0.1 may allow realization of a profit of several thousands dollars. In all cases, a positive predictive power indicates that the model generated will perform better than a random model.

BThe prediction confidence defines the degree of robustness of the model, that is, its capacity to achieve the same explanatory power when applied to a new dataset. In other words, the degree of robustness corresponds to the predictive power of the model when applied to an application dataset. A model with a prediction confidence inferior to 0.95 must be considered with caution. The performance of such a model is very likely to vary between the training dataset and the application datasets.

CThe environment variable definition is using the POSIX standard shell sh semantic, which first defines the variable, then exports it. To guarantee a proper functioning, The environment variable definition is using the POSIX standard shell sh
semantic, which first defines the variable, then exports it. To guarantee a proper functioning,

Answer : A, B

Question 2

A model may be represented in many different ways,

including:

Note: There are 3 correct answers to this question.

Aa decision tree,

Ba neural network,

Ca Certification Authority certificate (CA certificate)

Da mathematical function.

Answer : A, B, D

Question 3

Obtaining a better model is achieved by:

Note: There are 3 correct answers to this question.

AImproving the prediction confidence of the model, or

BImproving the predictive power of the model, or

CSystem authentication is to be used through Pluggable
Authentication Module (PAM). Access to Linux System
account password required root privileges.

DImproving both the predictive power and he prediction
confidence of the model.

Answer : A, B

Question 4

If in the PAi Fiori application, a predictive model is shown in status error, more information

about the cause may be found in the associated application log. If the PAi configuration is incorrect, which following messages may appear in the application log:

Note: There are 2 correct answers to this question.

AError: Invalid Table Message For example: invalid table name:
sap.hana.pai.Engine::Entities.GTMP.PredictiveScenario: line 1 col 72 an indication that the PAi application is not installed correctly. The solution is to reinstall the PAi DU.

BError: ,QsuFLHQt Privilege For example: LnsucLent privilege: Not authorized This means that the PAi HANA role The solution is to consult your database administrator regarding role assignment.

CIn Predictive Factory, you declare one or more modeling servers. (A modeling server is the machine that hosts the Automated Analytics server that will run the modeling tasks). Predictive Factory communicates with the Automated Analytics server using CORBA. All connections to data and model sources are handled via the modeling server.

DNetwork administration is simplified because all network traffic from the client is directed to the server. This means only two TCP ports need to be opened for an Automated Analytics installation.

Answer : A, B

Question 5

Two indicators specific to Automated Analytics allow you

to evaluate the performance of a model.

Note: There are 2 correct answers to this question.

AThe predictive power, which is the quality indicator of the model, Automated
Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27

BThe prediction confidence, which is the robustness indicator.

CThrough Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app

Answer : A, B

Question 6

A table of data is a dataset presented in the form of a two-dimensional table. In

this table:

Note: There are 3 correct answers to this question.

AEach row represents an observation to be processed, such as 'American individual'
in the sample file Census01.csv .

BEach column represents a variable that describes observations, such as the 'age' or
the 'gender' of individual Americans.

CEach cell, the intersection of a column and a row, represents the value of the
variable in the column, for the observation in that row

DBoth of these ports must be accessible from the client machine. For example,
network firewalls should allow communication on these ports between client
machine and the servers.

Answer : A, B, C

Question 7

In the large majority of cases, a first degree polynomial is sufficient

for generation of a relevant and robust model. Using a higher degree of

polynomial does not always guarantee better results than those

obtained with a first degree polynomial. In addition, the higher the

degree of polynomial you select:

Note: There are 3 correct answers to this question.

AThe more time needed to generate the corresponding model,

BThe more time needed to apply the model to new datasets,

CThe harder it is to interpret the results of modeling.

DThe server pass phrase (optional)

Answer : A, B, C

SAP Certified Application Associate - SAP Predictive Analytics C_PAII10_35 Exam Questions