Once the modeling parameters are defined, you can generate the model. Then you must validate its performance using the predictive power.
Note: There are 2 correct answers to this question.
A. If the model is sufficiently powerful, you can analyze the responses that it provides in relation to your business issue apply it to new datasets
B. Otherwise, you can modify the modeling parameters in such a way that they are better suited to your dataset and your business issue, and then generate new, more powerful models.
C. The Progress Bar displays the progression for each step of the process. It is the screen displayed by default.
D. The Detailed Log displays the details of each step of the process.
For data and performance management purposes, the dataset to be analyzed must contain a variable that serves as a key variable. Two cases should be considered:
Note: There are 2 correct answers to this question.
A. If the initial dataset does not contain a key variable, a variable index Kx Index is automatically generated by the application. This will correspond to the row number of the processed data.
B. If the file contains one or more key variables, they are not recognized automatically. You must specify them manually in the data description.
C. the user who runs SAP Predictive Analytics is also the one used to install the software
In Model Manager with default configuration, which access privileges provide the "server usage" statistics? Note: There are 2 correct answers to this question.
A. IT Administrator
B. Server Owner
C. Business Owner
D. IT Supervisor
Whatever the data source used, the following two constraints must be accommodated: Note: There are 2 correct answers to this question.
A. 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.
B. 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.
C. 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.
Once your business issue has been identified and formulated, you need to have data on hand that will permit an answer to be found. In order for your data to be usable by the application, the following five conditions must be met:
Note: There are 5 correct answers to this question.
A. You must have a sufficiently large volume of data to be able to build a valid model, that is, in order for the model to be both relevant and robust. An analytical model that is generated from a dataset of 50 lines may have low generalization capacity, and contain low informative value. We can advise you on the issues of data volume.
B. Your dataset must contain a target variable, that will allow you to express your business issue within the application.
C. The target variable must be known for each observation of the training dataset. To express this another way, no target variable values may be missing over the range of the entire training dataset.
D. The data source format must be supported by the application.
E. Your data must be presented in the form of a single table of data , except in instances where you are using Event Logging or Sequence Coding features of Data Manager.
F. Server instances are going to be started with a different system account than the authenticated server.
You are using the Automated Analytics text coder and you are also constructing the dictionary. You want to remove the stop words. What other processes are applied before the stop words are removed?
Note: There are 2 correct answers to this question.
A. Text splitting
B. Stemming reduction
C. Language recognition
D. Synonym replacement
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. If you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.
B. 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.
C. 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.
D. 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)
Your company is marketing two products A and B. You have a database which contains references to: Note: There are 2 correct answers to this question.
A. 1,500 of your customers. You know which product, A or B, each customer has purchased.
B. 10,000 prospects. You want to know which product each customer is likely to purchase.
C. Resources are used more fully because each modeling session has a dedicated process. The process size limit applies only to a single user.
D. Network 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.
To generate a time series model, you must select a partition strategy to cut your training dataset into the three sub-sets: training, validation and testing. Since the order of the observations in the dataset is important for the modeling, only two types of partition strategies are available in time series:
Note: There are 2 correct answers to this question.
A. Sequential with Testing
B. Sequential without Testing
C. In the IIS Administrative Tools pane, click Internet Information Services (IIS) Manager.
SAP Predictive Analytics can be deployed in the following configurations: Note: There are 3 correct answers to this question.
A. The desktop edition is a two-tier standalone configuration Both the Automated Analytics and Expert Analytics toolsets are available in the desktop edition.
B. The enterprise edition is a three-tier client-server configuration with server authentication.
C. If you have already installed SAP Predictive Analysis on your machine, you need to uninstall it before installing SAP Predictive Analytics.
D. The Automated Analytics toolset is available in the enterprise edition. With this configuration, you can install the following server-based components
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