최신SAP Certified Application Associate - SAP HANA 2.0 (SPS05) - C_HANAIMP_17무료샘플문제

A. To include columns that are NOT requested by a query but are essential for the correct result

B. To cache the results of the aggregation node for drill-down

C. To ensure that the aggregation behavior defined in the aggregation node for a measure CANNOT be overridden by a query

D. To retain the correct aggregation behavior in stacked views.

A. SAP HANA streaming analytics

B. SAP HANA smart data quality

C. SAP HANA smart data integration

D. SAP HANA smart data access

A. To make changes to the runtime objects of your calculation view with SQL.

B. To provide access to your data model to additional client tools.

C. To support development of custom logic within calculation views.

D. As an alternative to developing calculation views when high performance is essential.

A. Projection

B. Join

C. Aggregation

D. Union

A. Vertex

B. Dimension

C. Association

D. Edge

A. Joins that are defined on calculated columns

B. Usage statistics of the calculation view

C. Information about join cardinality

D. If the data is in the hot or warm storage tier

A. You selected the wrong parameter mapping TYPE.

B. You already mapped the input parameters in another calculation view.

C. The names of the input parameters do not match.

D. Your source calculation view is of the type SQL Access Only.

A. To check which database engines will be invoked by each node

B. To observe the generated SQL for each node

C. To measure the overall run-time of the query

D. To highlight potential performance issues at design-time

A. Define a union node as the start of the parallelization block.

B. Assign tables as the only data sources in the nodes that start the parallelization block.

C. Define a source column as partitioning value in the start node of the parallelization block.

D. Define a projection node as the end of the parallelization block.