SAP Certified Application Associate - SAP Predictive Analytics

문제1
The term model carries many different meanings depending on its field of application. In data mining, a model describes and explains the relationships that exist between input data (one or more target variablest allows one to predict and explain phenomena, or to describe them. To quote George E.P. Box,
"All Models Are Wrong But Some Are Useful" from "Robustness is the Strategy of Scientific Model Building" in Robustness in Statistics. Eds., R.L. Launer and G.N. Wilkinson, 1979, Academic Press. A model that has satisfactory performance is one that possesses both:
Note: There are 2 correct answers to this question.

A. Both 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.

B. High robustness, that is, sufficient capacity to repeat the same performance on new datasets containing observations of a similar nature to the training dataset. This explanatory power is indicated by the prediction confidence .

C. High explanatory power, that is, sufficient capacity to explain the target variable. This explanatory power is indicated by the predictive power of the model.

정답: B,C

문제2
There are several interesting things to note about normal profit:
Note: There are 3 correct answers to this question.

A. The normal profit of category is independent of the target values themselves will not change

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

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

D. A 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.

정답: A,B,D

문제3
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.

A. the graphs for all the sub-sets:

B. The HTTP port (usually, 80).

C. the graph for the Validation sub-set:

D. The Name Server (usually port 12345).

정답: A,C

문제4
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

정답: B

문제5
A user has created several analyses with a chain in the
Predict room. What data can the user leverage in a
visualization in the Visualize room when these analyses
are executed successfully?
Note: There are 1 correct answers to this question.

A. Data from one component from one analysis

B. Data from all components from all analyses

C. Data from one component from all analyses

D. Data from all components from one analysis

정답: A

문제6
To Define the Risk Mode Parameters:
Note: There are 4 correct answers to this question.

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

B. In the field Risk Score, enter the score you want to associate with a good/bad odds ratio.

C. In the field for good/bad odds ratio of, enter the ratio.

D. Indicate the increase of score points needed to double the odds in the field Points to double odds.

E. Click the button View Score Table to display the table of scores associated with the corresponding good/bad odds ratio.

정답: B,C,E

문제7
The analytics are generated during a phase called the
training phase, using a training dataset. Depending on the
situation, the training dataset may be cut into three sub-sets:
Note: There are 3 correct answers to this question.

A. The proper TCP port,

B. A Training sub-set.

C. A Validation sub-set.

D. A Testing sub-set

정답: B,C,D

문제8
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.

A. The 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.

B. You 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.

C. Communication 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)

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

정답: B,D

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