最新的SAP Certified Application Associate - SAP HANA 2.0 SPS06 - C_HANAIMP_18免費考試真題

A. Aggregate at the lowest possible node.

B. Avoid defining joins on calculated columns.

C. Model star schemas using a sequence of join nodes.

D. Include all data flow logic within one calculation view.

A. Scalar function

B. Row table

C. Table function

D. Procedure

A. Define a restricted column in a union node.

B. Add an intersect node above the union node.

C. In the union node, map both source customer name columns to one target column.

D. Include an aggregation node above the union node.

A. To improve data replication performance on large row tables

B. To improve query performance when accessing large column tables

C. To overcome the 2 billion record limit

D. To improve response time when multiple users access the same table

A. Create a parent-child hierarchy and assign it to the variable.Ensure the variable's reference column is the parent attribute of the hierarchy.

B. Create a level hierarchy and assign it to the variable.Ensure the variable's reference column is the leaf level of the hierarchy.

C. Create a level hierarchy and assign it to the variable.Ensure the variable's reference column is the top level of the hierarchy.

D. Create a parent-child hierarchy and assign it to the variable.Ensure the variable's reference column is the child attribute of the hierarchy.

A. Left outer join

B. Inner join

C. Referential join

D. Text join

A. Association

B. Alias

C. Synonym

D. Virtual Table

A. Avoid aggregating data early in the data flow.

B. Partition large tables.

C. Implement union pruning.

D. Limit the number of stacked calculation views.

A. Query processing time improves

B. Results are read from static cache

C. Count-distinct results are incorrect

D. SQL compilation time increases