SAP Certified Associate - Data Engineer - SAP HANA - C-HAMOD-2404무료 덤프문제 풀어보기

A. SQL expression

B. Attributes

C. Graph

D. Hierarchy function

E. Dynamic

A. 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.

B. 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.

C. 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.

D. 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.

A. hdiconfig

B. .mtar

C. .yaml

D. .namespace

A. To assign a virtual table to a remote source

B. To update data in a local table based on changes made to a remote table

C. To establish a connection to the replication service

D. To be notified when remote data has changed

A. Assign semantic type.
*Choose client, source and target currencies. .
*Choose conversion date and rate type.
*Define an expression in a calculated column.

B. Enable the measure for conversion.
*Choose client, source and target currencies.
*Choose conversion date and rate type.
*Assign the conversion rule to your calculation view.

C. Assign semantic type.
*Enable the measure for conversion.
*Choose client, source and target currencies.
*Choose conversion date and rate type.

D. Enable the measure for conversion.
*Choose client, source, and target currencies.
*Choose conversion date and rate type.
*Build the conversion rule.

A. Join columns have different data types.

B. The join condition is not represented by matching values.

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

D. The number of joined columns is different in each table.

A. It CANNOT be mixed in the same star join node with other join types.

B. It must appear in the last DIMENSION in the star join node.

C. It is restricted to one DIMENSION in a star join node.

D. Only one column can be included in the join condition.

A. To improve filter performance in join node

B. To prevent filtered columns from producing incorrect aggregation results.

C. To ignore a filter applied to a hidden column

D. To allow filter push-down in stacked calculation views

A. Anonymous block

B. Table function

C. Scalar function

D. Procedure