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SAP Updated C_HCMOD_05 Exam Questions and Answers by fallon

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SAP C_HCMOD_05 Exam Overview :

Exam Name: SAP Certified Application Associate - SAP HANA Cloud Modeling
Exam Code: C_HCMOD_05 Dumps
Vendor: SAP Certification: SAP Certified Application Associate
Questions: 88 Q&A's Shared By: fallon
Question 12

At which levels of a project structure can you execute a deploy operation?Note: There are 2 correct answers to this question.

Options:

A.

Individual source file

B.

Entire workspace

C.

Sub-folder of a database module

D.

Individual container

Discussion
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Question 13

You have imported a new calculation view in a folder that contains an .hdinamespace file. This calculation view consumes one data source, which is a table. When trying to deploy the calculation view, the deployment fails with a namespace-related issue.What could be the reason?Note: There are 2 correct answers to this question.

Options:

A.

The namespace used within the calculation view to reference the table is different from the actual namespace in the identifier of this table.

B.

The imported calculation view and its data source have different namespaces.

C.

An .hdinamespace file is defined in the SRC folder that specifies a different namespace property than the one in the identifier of the calculation view.

D.

The .hdinamespace specifies "sub-folder":"append", so calculation views can only be created in subfolders.

Discussion
Question 14

You want to join two tables in a calculation view.Why do you use a non-equi join?

Options:

A.

Join columns have different data types.

B.

The number of joined columns is different in each table.

C.

Join columns need to be ignored when NOT requested by the query.

D.

The join condition is not represented by matching values.

Discussion
Question 15

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

Options:

A.

To improve response time when multiple users access the same table

B.

To improve query performance when accessing large column tables

C.

To improve data replication performance on large row tables

D.

To overcome the 2 billion record limit

Discussion
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