C_HANAIMP_17 SAP Certified Application Associate - SAP HANA 2.0 (SPS05) Practice Exam
C_HANAIMP_17 SAP Certified Application Associate - SAP HANA 2.0 (SPS05)
About C_HANAIMP_17 SAP Certified Application Associate - SAP HANA 2.0 (SPS05) Exam
The C_HANAIMP_17 SAP Certified Application Associate - SAP HANA 2.0 (SPS05) Exam has been built to verify the candidate skills and knowledge in the area of the SAP HANA 2.0 based on SPS05 for the profile of an SAP HANA application consultant. This C_HANAIMP_17 exam builds on the basic knowledge gained through related SAP HANA training and preferably refined by practical experience within an SAP HANA project team, whereby the consultant applies acquired knowledge in this specialist area practically in projects.
- Exam Name: SAP Certified Application Associate - SAP HANA 2.0 (SPS05)
- Exam Code: C_HANAIMP_17
- Exam Duration: 180 mins
- Total Questions: 80 Questions
- Language: English
- Passing Score: 63% and above
The SAp C_HANAIMP_17 exam covers the following topic areas -
Configure Modeling Functions> 12%
- Demonstrate that you can implement calculation view modeling functions, such as parameters and hierarchies.
Describing the Technology and Deployment Scenarios of SAP HANA> 12%
- Demonstrate an understanding of the key technology of SAP HANA
Building calculation views> 12%
- Demonstrate detailed knowldege of building a data model using all types of calculation views and nodes.
Optimizing the performance of models> 12%
- Demonstrate that you can follow best practices for building high performance models and use the provided tools to monitor performance.
Managing and administering models> 12%
- Demonstrate that you can setup the modeling ennvironment and use the tools provided to manage the data models.
Describing advanced analytical processing> 12%
- Demonstrate a basic understanding of spatial, graph, text, predictive and series modeling in SAP HANA.
Working with SQL and SQL Script in models< 8%
- Demonstrate that you can apply SQL and SQLScript in SAP HANA modeling.
Securing models< 8%
- Demonstrate that you can implement security features to prevent unauthorised access to data models.
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