P_PAII10_25 – SAP Certified Application Professional – SAP Predictive Analytics 2.5 | SAP Certification Exam Prep

Information

• Typically the “SAP Trained Request High quality and also SAP Predictive Analytics ” official certifications test confirms that your prospect boasts successful expertise together with highly developed know-how throughout using together with taking care of assignments using SAP Predictive Analytics. This exam will certainly measure the candidate’s knowledge of SAP Predictive Analytics end-to-end attained as an important contributor in Predictive Analytics Project Teams along with queries around Business Understanding, Data Buy and Preparation, Feature Architectural and Reduction, Visualization, Modeling, Design Reliability and Integration. The accreditation verifies candidates experience in both Automated Analytics and Professional Analytics and also knowledge about SAP HANA (APL, PAL, and R) and HCP Solutions. It really is expected that this candidate offers acquired adequate experience through practical job experience to perform well in the exam. Practical work experience will be tested around the exam along with queries close to use-cases including design administration.

Notes

• 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.

Subject Places

Please observe below the list of subjects which may be covered within this accreditation and the programs that cover them. Its accuracy does not constitute a legitimate state; SAP reserves the right to revise the exam content material (topics, items, weighting) anytime.

Modelling rapid Specialist Analytics > 12%

Make clear the various algorithms like classification, regression, clustering, time series, etc . on diverse systems electronic. g. HANA plus Hadoop, API plus scripting and also R, customized parts plus data authors.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-59229-915-7
• PA Consumer Manuals

Modelling rapid Automated Analytics > 12%

Make clear the various functions like classification, regression, clustering, time series, interpersonal, suggestions, connection rules on diverse systems electronic. g. HANA plus Hadoop, API plus scripting and also the way to improve predictive strength plus self-confidence.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-4932-1326-9
• PA Consumer Manuals

Design Integration plus Usage 8% rapid 12%

Make clear the way to export parts or versions electronic. g. to HANA, carry out automated design usage, plus make clear HCP solutions plus API integration.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• HCP Predictive Solutions
• HANA R Integration

Design Evaluation 8% rapid 12%

Make clear statistical metrics, cluster, plus group significance charts, the way to detect leakers plus unpredictable variables, plus meaning of the scorecard.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

Scenarios plus Make use of Instances 8% rapid 12%

In provided scenarios, explain needs of data sorts meant for specific algorithms plus make clear the reason why they may be used

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-59229-915-7

Feature Architectural plus Reduction 8% rapid 12%

Explain the usage of data supervisor, adjustable encoding, conversion of data sorts, new variables, composite place variables, normalization plus data kind conversion in EA, and the data manipulation in the prepare space.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

Data Preparation 8% rapid 12%

Carry out data preparation like data sampling, outlier dealing with plus detection, filtering plus dealing with of missing beliefs.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-59229-915-7

Modelling rapid Embedded < 8%

Make clear how to use Automated Predictive Collection (APL) plus Predictive Analytics Collection (PAL).

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-59229-915-7
• PAL Research Guideline
• Software Functionality Collection
• SAP HANA School

Data Buy < 8%

Explain plus make clear the way to acquire plus merge data, work together with multiple files plus explain the precreated visualizations meant for data nodes.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

Design Administration plus Checking < 8%

Make clear design administration like detecting design deviations, arranging plus retraining of the design and also administration of consumer functions plus authorizations.

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

Business Understanding plus Process Modelling < 8%

Explain the differences between traditional modeling  vs . automated analytics design creating method, make clear Vapnik concepts plus overfitting.  

• PAII10 (PREDICTIVE ANALYTICS)
• PAII11 (PREDICTIVE ANALYTICS)
• PAII12 (PREDICTIVE ANALYTICS)

– OR –

• ISBN 978-1-59229-915-7