Exam Name: SAP Certified Application Associate - SAP Predictive Analytics
Certification Provider: SAP
Corresponding Certification: SAP Certified Application Associate
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SAP C_PAII10_35 Exam Overview:
| Certification Vendor: | SAP |
|---|---|
| Exam Name: | SAP Certified Application Associate - SAP Predictive Analytics |
| Exam Number: | C_PAII10_35 |
| Exam Format: | Scenario-based, Multiple Choice |
| Available Languages: | English |
| Exam Price: | 599 USD |
| Passing Score: | 68% |
| Certificate Validity Period: | Valid for two most recent solution releases |
| Exam Duration: | 180 minutes |
| Real Exam Qty: | 80 |
| Recommended Training: | PAII10 - SAP Predictive Analytics 3.3 |
| Exam Registration: | SAP Certification Hub SAP Training & Certification Shop |
| Sample Questions: | SAP C_PAII10_35 Sample Questions |
| Exam Way: | Computer-based testing at authorized centers or online via SAP Certification Hub |
| Pre Condition: | No formal prerequisites; basic knowledge of data analysis and SAP terminology recommended |
| Official Syllabus URL: | https://training.sap.com/certification/c_paii10_35-sap-certified-application-associate--sap-predictive-analytics-g/ |
SAP C_PAII10_35 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Manager | <8% | - Data profiling and quality checks - Data transformation and preparation - Data import and connection |
| Topic 2: Predictive Factory | >12% | - Creating and scheduling tasks - Deviation analysis and monitoring - Key features and architecture |
| Topic 3: Data Science Supporting Automated Analytics | 8%-12% | - Model curves and interpretation - Data encoding and transformation - Data partition strategies |
| Topic 4: Regression Modeling with Modeler | 8%-12% | - Model validation and use cases - Interpreting regression outputs - Building regression models |
| Topic 5: Basics of Automated Analytics | <8% | - Data types and variable roles - Data storage and preparation - Handling missing values and outliers |
| Topic 6: Classification Modeling with Modeler | 8%-12% | - Deployment and application - Building classification models - Model performance evaluation |
| Topic 7: Introduction to Predictive Analytics | >12% | - Key capabilities of SAP Predictive Analytics - Basic predictive modeling concepts - Use cases for predictive algorithms |
| Topic 8: Time Series Modeling with Modeler | 8%-12% | - Time series concepts - Forecasting and result analysis - Building and adjusting time series models |
| Topic 9: Social and Recommendation Modeling | <8% | - Social network analysis basics - Recommendation algorithms |
| Topic 10: Clustering with Automated Analytics | 8%-12% | - Model debriefing and validation - Building clustering models - Applying clustering results |
SAP C_PAII10_35 FAQs: What Every Candidate Asks
The C_PAII10_35 exam, officially titled SAP Certified Application Associate - SAP Predictive Analytics, is the qualifying test for the SAP Certified Application Associate - SAP Predictive Analytics certification from SAP, a credential at the Associate level. Passing it proves you have the skills employers look for in certified professionals.
The SAP Certified Application Associate - SAP Predictive Analytics exam gives you 180 minutes to work through 80 questions. That is a steady pace with little room for second-guessing, so train yourself to read each question once, flag the difficult ones, and keep moving. Before exam day, sit at least two full timed sessions in the Fast2test test engine — when the clock feels familiar, it stops being a threat.
You need 68% to pass, and the official registration fee is 599 USD. Fall short and you pay that fee in full again for every retake, which makes solid preparation the cheaper option by far. Work through the Fast2test practice questions until you score comfortably above the passing mark, then book your seat.
No formal prerequisites; basic knowledge of data analysis and SAP terminology recommended Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: SAP C_PAII10_35 exam overview.
You can book your C_PAII10_35 exam through any of these official registration channels:
The exam is delivered as Computer-based testing at authorized centers or online via SAP Certification Hub, so you can pick the option that fits your schedule when you book.
SAP recommends the following training for SAP Certified Application Associate - SAP Predictive Analytics candidates:
Pair that training with the 80 practice questions from Fast2test and you can check your readiness topic by topic before exam day.
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The SAP Certified Application Associate - SAP Predictive Analytics syllabus is organized into 10 domains. The main areas include Classification Modeling with Modeler (8%-12%), Time Series Modeling with Modeler (8%-12%), and Predictive Factory (>12%). Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.
SAP Certified Application Associate - SAP Predictive Analytics Sample Questions:
Question 1
Understanding the Decision Tree Panel The panel Decision Tree is split into three parts:
Note: There are 3 correct answers to this question.
A. Two 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
B. A navigator allowing you to visualize what part of the tree you are studying is displayed in the right bottom part of the panel.\
C. The decision tree itself, which is displayed in the upper section of the panel
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.
Question 2
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. Stemming reduction
B. Text splitting
C. Synonym replacement
D. Language recognition
Question 3
Detected profit is the default setting for type of profit. Using this type of profit:
Note: There are 2 correct answers to this question.
A. Data Manager is used to facilitate the preparation of the data to be used in the analytics project.
B. Modeler 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.
C. The 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.
D. The value "0" is assigned to observations that do not belong to the target category of the target variable,
Question 4
If in the PAi Fiori application, a predictive model is shown in status error, more information about the cause may be found in the associated application log. If the PAi configuration is incorrect, which following messages may appear in the application log:
Note: There are 2 correct answers to this question.
A. 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.
B. Error: Invalid Table Message For example: invalid table name:
sap.hana.pai.Engine::Entities.GTMP.PredictiveScenario: line 1 col 72 an indication that the PAi application is not installed correctly. The solution is to reinstall the PAi DU.
C. In Predictive Factory, you declare one or more modeling servers. (A modeling server is the machine that hosts the Automated Analytics server that will run the modeling tasks). Predictive Factory communicates with the Automated Analytics server using CORBA. All connections to data and model sources are handled via the modeling server.
D. Error: ,QsuFLHQt Privilege For example: LnsucLent privilege: Not authorized This means that the PAi HANA role The solution is to consult your database administrator regarding role assignment.
Question 5
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. Simulate the model application.
D. Select the model iteration.
Solutions:
| Question 1 Answer: A,B,C | Question 2 Answer: B,D | Question 3 Answer: C,D | Question 4 Answer: B,D | Question 5 Answer: B,D |
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