SAP C_PAII10_35 Exam Questions Instant Access

Question 1

The importance of a category depends on both its difference to the

target category mean and the number of represented cases. High importance can result from any of the following:

Note: There are 3 correct answers to this question.

AA high discrepancy between the category and the mean of the target category of the target variable

BA minor discrepancy combined with a large number of records in the category

CA combination of both

Drecise scheduling of main industrialization tasks

Answer : A, B, C

Question 2

Detected profit is the default setting for type of profit. Using this type of profit:

Note: There are 2 correct answers to this question.

AThe value '0' is assigned to observations that do not belong to the target category of the target variable,

BThe value '1/(frequency of the target variable in the dataset) is assigned to observations that do belong to the target category of the target variable.

CModeler enables the analyst to create in a homogenous and easy-handling
workflow models such as classification, regression, clustering, time series, and
association rules. Models can be exported in different formats so that you can
easily apply them in your production environment.

DData Manager is used to facilitate the preparation of the data to be used in the analytics project.

Answer : A, B

Question 3

Understanding the Decision Tree Panel The panel Decision Tree is split into

three parts:

Note: There are 3 correct answers to this question.

AThe decision tree itself, which is displayed in the upper section of the panel

BTwo tabs located in the left bottom part of the panel provide you with information
on the nodes and with the profit curve corresponding to the current decision tree

CA navigator allowing you to visualize what part of the tree you are studying is
displayed in the right bottom part of the panel.\

DA 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.

Answer : A, B, C

Question 4

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

Note: There are 4 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 would possess a predictive power equal to 1 and a completely random model would possess a predictive power equal
to 0.

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 applied to an application dataset. For this scenario, the model generated has the following performance indicators:

CA quality indicator KI equal to 0.808,

DA robustness indicator KR equal to 0.992.

EThe existing R is uninstalled and the registry entries and the R installation folder are removed from the machine.

Answer : A, B, C, D

Question 5

A training data file for time series must contain at

least two columns:

Note: There are 2 correct answers to this question.

AThe date column,

BThe signal column

CThe server port

Answer : A, B

Question 6

What is time Series?

Note: There are 2 correct answers to this question.

AIdentify and understand the phenomenon represented by your time series.

BForecast the evolution of time series in the short and medium term, that is, predict
their future values.

Cdifferent 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

DThe system account of the authenticated user, this is the default with the system
authentication.

Answer : A, B

Question 7

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

SAP Certified Application Associate - SAP Predictive Analytics C_PAII10_35 Exam Questions