2026년 SAP Certified Application Associate - SAP Predictive Analytics 시험을 앞두고 학습 시간 확보가 어려우신가요? KoreaDumps의 C-PAII10-35 연습문제 80문항은 핵심 위주로 구성되어 틈새 시간만으로도 충분히 대비하실 수 있습니다.

SAP C-PAII10-35 시험 개요:

SAP C-PAII10-35 시험 요강 주제:

SAP C-PAII10-35 시험 궁금증 해소 코너

최신 SAP Certified Application Associate C-PAII10-35 무료샘플문제

문제 #1

Predictive Power, Prediction Confidence and Model Graphs On the model graph plot:
Note: There are 2 correct answers to this question.

A. Produce deep analysis of the data using different visualization
techniques, such as scatter matrix charts, parallel coordinates, cluster charts, and decision trees.
B. Of the validation dataset of the perfect model and that of the random model". As the curve of the generated model approaches the curve of the perfect model, the value of the predictive power approaches 1.
C. Of the training and validation datasets the training dataset and that of the validation dataset "divided by "the area found between the curve of the perfect model and that of the random model"

문제 #2

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.

A. Check Enable Model Autosave.
B. In the Summary of Modeling Parameters panel, click the Autosave
button. The Model Autosave panel is displayed.
C. Set the parameters listed in the following table.
D. Be granted the SELECT SQL Privileges.

문제 #3

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

문제 #4

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.

A. The more time needed to generate the corresponding model,
B. The harder it is to interpret the results of modeling.
C. The server pass phrase (optional)
D. The more time needed to apply the model to new datasets,

문제 #5

You developed an unsupervised segmentation
model in Automated Analytics. What should you
analyze when debriefing the model?
Note: There are 1 correct answers to this question.

A. The cluster target means
B. The cluster frequencies
C. The overall model Ki
D. The winning number of clustersc

질문과 대답: