Learn, Practice, and Improve with SAP C_HAMOD_2404 Practice Test Questions

Your flowgraphs defines a template table as a data target. What triggers the generation of the template table?

A. Defining the flowgraph data target node

B. Building/deploying the flowgraph

C. Running the flowgraph

D. Saving the flowgraph

In a calculation view, why would you implement an SQL expression? Note: There are 3 correct answers to this question.

A. To generate a restricted column

B. To define a filter

C. To generate a calculated column

D. To generate hierarchies

E. To convert currencies

A calculation view consumes the data sources shown in the graphic. You want to identify which companies sold products in January AND February. What is the optimal way to do this?

A. Use an aggregation node.

B. Use a union node.

C. Use an intersect node.

D. Use a minus node.

Which type of join supports a temporal condition in a calculation view?

A. Text join

B. Referential join

C. Inner join

D. Left outer join

Why do we use Git when modeling calculation views?

A. To display dependencies in stacked scenarios

B. To automate the build process

C. To manage versions of source files

D. To enable collaboration between developers

What are possible consequences of unfolding? Note: There are 2 correct answers to this question.

A. Results are read from static cache.

B. Count-distinct results are incorrect.

C. SQL compilation time increases.

D. Query processing time improves.

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 CUBE calculation view.
•Use a join node to join the DIMENSIONS to the resulting fact table.

B. Combine the transaction tables using a join node in a CUBE calculation view.
•Combine the DIMENSIONS using another join node.
•Use a star join node to combine both resulting fact and dimension tables.

C. Combine the transaction tables using a join node in a CUBE calculation view.
•Use a star join node to join the DIMENSIONS to the resulting fact table.

D. Combine the transaction tables using an aggregation node in a CUBE calculation view.
•Use a star join node to join the DIMENSIONS to the resulting fact table.