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SAP C-HCMOD-03 Exam Syllabus Topics:

SAP Certified Application Associate - SAP HANA Cloud Modeling Sample Questions:

Question 1

You have generated a calculation view properties file.What does it contain?

A. Dependencies between calculation views
B. Descriptions of all objects defined in a calculation view
C. Documentation to support the calculation view
D. All settings defined in a calculation view

Question 2

A new version of SAP HANA Cloud, SAP HANA database is available from today.If you do not perform the upgrade manually, how much time do you have before your database will be automatically upgraded to the next version?

A. 2 weeks
B. 1 year
C. 7 months
D. 3 months

Question 3

You want to create a star schema using a calculation view. The measures are based on columns from two transaction tables. DIMENSION calculation views provide the attributes.What is the correct approach?

A. Combine the transaction tables using a star join node in a calculation view of type CUBE with star join./Use a join node to join the DIMENSIONS to the fact table.
B. Combine the transaction tables using a star join node in a calculation view of type CUBE with star join.Use the same star join node to connect the DIMENSIONS to the fact table.
C. Combine the transaction tables using an aggregation node in a calculation view of type CUBE with star join./Use a star join node to join the DIMENSIONS to the fact table.
D. Combine the transaction tables using a join node in a calculation view of type CUBE with star join.Use a star join node to join the DIMENSIONS to the fact table.

Question 4

Which of the following approaches might improve the performance of joins in a CUBE calculation view?Note: There are 2 correct answers to this question.

A. Define join direction in a full outer join
B. Use an inner join
C. Specify the join cardinality
D. Limit the number of joined columns

Question 5

Why would you partition a table in an SAP HANA Cloud database? Note: There are 2 correct answers to this question.

A. To improve response time when multiple users access the same table
B. To improve query performance when accessing large column tables
C. To overcome the 2 billion record limit
D. To improve data replication performance on large row tables

Solutions: