C-PAII10-35問題集、SAP実際の試験問題

質問 1

Whatever the data source used, the following two constraints must be
accommodated:
Note: There are 2 correct answers to this question.

A. Through 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 application.

B. The data must be represented in the form of a single table, except in instances where you are using the Event Logging or Sequence Coding features.

C. The target variable must be defined for each observation in the table. In the sample file Census01.csv , the variable "class" has been be defined for each individual.

正解: B,C

質問 2

In Model Manager with default configuration,
which access privileges provide the "server usage"
statistics?
Note: There are 2 correct answers to this question.

A. Server Owner

B. IT Supervisor

C. Business Owner

D. IT Administrator

正解: A,B

質問 3

How can you refine your model in the Select
Variables tool in Automated Analytics?
Note: There are 2 correct answers to this question.

A. Analyze variable deviations.

B. Display variable correlations.

C. Select the model iteration.

D. Simulate the model application.

正解: B,C

質問 4

In the Random Forest algorithm, each regressor and
classifier is built on a bootstrapped sample. At each split, a
random sample of m features is considered for splitting from
a total of M features. What is the default setting for m?
Note: There are 1 correct answers to this question.

A. m = sqrt(M) for regression and sqrt (M) for classification

B. m = sqrt(M) for regression and M/3 for classification

C. m = M/3 for regression and M/3 for classification

D. m = M/3 for regression and sqrt (m) for classification

正解: D

質問 5

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

A. 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.

B. Produce deep analysis of the data using different visualization
techniques, such as scatter matrix charts, parallel coordinates, cluster charts, and decision trees.

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"

正解: A,C

質問 6

You can change the order of the nodes to accelerate the
filtering process by setting the conditions with the highest
probability to be false at the top of the list.
Note: There are 2 correct answers to this question.

A. Select the node you want to move up or down.

B. Use the buttons and to change its position in the filter.

C. If you have already installed SAP Predictive Analytics on
your machine, uninstall it before installing SAP Predictive Analytics.

正解: A,B

質問 7

There are three ways to set the threshold using the displayed slide bar:
Note: There are 3 correct answers to this question.

A. By 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.

B. By selecting the percentage of positive observations you want to detect

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

D. By selecting the percentage of population to target if the population is sorted by descending order of score

正解: A,B,D

質問 8

What is the first phase of the CRISP- DM predictive
modeling process?
Note: There are 1 correct answers to this question.

A. Business understanding

B. Data preparation

C. Data understanding

D. Model building

正解: A

SAP Certified Application Associate - SAP Predictive Analytics - C-PAII10-35 模擬練習