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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Integration | - Integration with SAP systems - Deploying predictive models |
| Topic 2: Model Building | - Supervised learning models - Unsupervised learning models - Time series forecasting |
| Topic 3: Introduction to SAP Predictive Analytics | - Overview of predictive analytics concepts - SAP Predictive Analytics architecture and components |
| Topic 4: Data Preparation | - Data cleansing and transformation - Data integration and connectivity |
| Topic 5: Model Evaluation and Validation | - Performance metrics - Model accuracy assessment |
| Topic 6: Business Applications | - Use cases in finance, sales, and operations - Decision automation scenarios |
The C_PAII10_35 exam, officially titled SAP Certified Application Associate - SAP Predictive Analytics, is the SAP exam you pass to earn the SAP Certified Application Associate - SAP Predictive Analytics certification, a credential at the Associate level. Passing it confirms the skills defined in the official exam outline, and it is associated with related credentials such as SAP Certified Application Associate - SAP Analytics Cloud, SAP Certified Application Associate - SAP BW/4HANA.
SAP lists the following prerequisites or eligibility notes for the C_PAII10_35 exam: No formal prerequisites, but recommended experience in SAP analytics solutions and basic statistical knowledge.. Requirements can change over time, so confirm the details on the official exam page at SAP's official site before you register.
You can register for the C_PAII10_35 exam through the official channels below:
The exam is delivered in the following format: Online proctored or authorized test center (SAP Certification Hub). Choose a date that leaves you enough time to work through the full 80-question practice set first.
SAP recommends the following training resources for C_PAII10_35 candidates:
Official courses build the theory, and the 80 practice questions from TorrentValid help you turn that theory into exam-ready speed and accuracy.
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The C_PAII10_35 exam blueprint is divided into 6 domains, starting with Business Applications; Introduction to SAP Predictive Analytics; Model Evaluation and Validation. For the complete domain-by-domain breakdown, see the Exam Topics section above — it lists every topic the current outline covers.
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.
Correct Answer: C,D 🗳️
How can you refine your model in the Select
Variables tool in Automated Analytics?
Note: There are 2 correct answers to this question.
Correct Answer: B,D 🗳️
Operation of Automated Analytic:
Note: There are 3 correct answers to this question.
Correct Answer: B,C,D 🗳️
In Model Manager with default configuration,
which access privileges provide the "server usage"
statistics?
Note: There are 2 correct answers to this question.
Correct Answer: A,B 🗳️
You built a classification model using SAP
HANA data with Automated Analytics. How will
you make the model available to Model Manager?
Note: There are 1 correct answers to this question.
Correct Answer: B 🗳️
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