• The "SAP Certified Application Professional - SAP Predictive Analytics 2.5" certification exam verifies that the candidate possesses proven skills and advanced knowledge in implementing and managing projects using SAP Predictive Analytics. This exam will measure the candidate's knowledge of SAP Predictive Analytics end-to-end acquired as an key contributor in Predictive Analytics Project Teams with questions around Business Understanding, Data Acquisition and Preparation, Feature Engineering and Reduction, Visualization, Modeling, Model Accuracy and Integration. The certification verifies candidates expertise in both Automated Analytics and Expert Analytics as well as knowledge about SAP HANA (APL, PAL, and R) and HCP Services. It is expected that the candidate has gained sufficient experience through practical job experience to do well in the exam. Practical work experience will be tested on the exam with questions around use-cases including model management.


  • To ensure success, SAP recommends combining education courses and hands-on experience to prepare for your certification exam as questions will test your ability to apply the knowledge you have gained in training.
  • You are not allowed to use any reference materials during the certification test (no access to online documentation or to any SAP system).
  • Some language versions may not be available at Pearson VUE. Please check the available language versions here.

Topic Areas

Please see below the list of topics that may be covered within this certification and the courses that cover them. Its accuracy does not constitute a legitimate claim; SAP reserves the right to update the exam content (topics, items, weighting) at any time.

Modelling - Expert Analytics > 12%

Explain the various algorithms like classification, regression, clustering, time series, etc. on different platforms e.g. HANA and Hadoop, API and scripting as well as R, custom components and data writers.

Modelling - Automated Analytics > 12%

Explain the various functions like classification, regression, clustering, time series, social, recommendations, association rules on different platforms e.g. HANA and Hadoop, API and scripting as well as how to improve predictive power and confidence.

Model Integration and Consumption 8% - 12%

Explain how to export components or models e.g. to HANA, perform automated model consumption, and explain HCP services and API integration.

Model Evaluation 8% - 12%

Explain statistical metrics, cluster, and category significance charts, how to detect leakers and unstable variables, and interpretation of a scorecard.

  • PAII10

Scenarios and Use Cases 8% - 12%

In given scenarios, describe requirements of data types for specific algorithms and explain why they are used

  • PAII10

----- OR -----

Feature Engineering and Reduction 8% - 12%

Describe the usage of data manager, variable encoding, conversion of data types, new variables, composite position variables, normalization and data type conversion in EA, and the data manipulation in the prepare room.

  • PAII10

Data Preparation 8% - 12%

Perform data preparation like data sampling, outlier handling and detection, filtering and handling of missing values.

  • PAII10

----- OR -----

Modelling - Embedded < 8%

Explain how to use Automated Predictive Library (APL) and Predictive Analytics Library (PAL).

Data Acquisition < 8%

Describe and explain how to acquire and merge data, work with multiple files and describe the precreated visualizations for data nodes.

  • PAII10

Model Management and Monitoring < 8%

Explain model management like detecting model deviations, scheduling and retraining of a model as well as management of user roles and authorizations.

  • PAII10

Business Understanding and Process Modelling < 8%

Describe the differences between traditional modeling  vs. automated analytics model building approach, explain Vapnik principles and overfitting. 

  • PAII10

----- OR -----

General Information

Exam Preparation

Each specific certification comes with its own set of preparation tactics. We define them as "Topic Areas" and they can be found on each exam description. You can find the number of questions, the duration of the exam, what areas you will be tested on, and recommended course work and content you can reference.

Certification exams might contain unscored items that are being tested for upcoming releases of the exam. These unscored items are randomly distributed across the certification topics and are not counted towards the final score. The total number of items of an examination as advertised in the Training Shop is never exceeded when unscored items are used.

Please be aware that the professional- level certification also requires several years of practical on-the-job experience and addresses real-life scenarios.

For more information refer to our Take your SAP Certification Exams and our FAQs.

Safeguarding the Value of Certification

SAP Education has worked hard together with the Certification & Enablement Influence Council to enhance the value of certification and improve the exams. An increasing number of customers and partners are now looking towards certification as a reliable benchmark to safeguard their investments. Unfortunately, the increased demand for certification has brought with it a growing number of people who to try and attain SAP certification through unfair means. This ongoing issue has prompted SAP Education to place a new focus on test security. Please take a look at our post to understand what you can do to help to protect the credibility of your certification status.

Our Certification Test Security Guidelines will help you as test taker to understand the testing experience.

Cloud Security Guidelines 

Classroom Security Guidelines