Free Access SAP.C-BW4HANA-27.v2022-06-05.q60 Practice Test (Page 4)

Question 11

Why do you define a custom table as a row store table? Note: There are 2 correct answers to this question.

A.The values in the columns are different. Therefore, data compression would NOT have much effect.

B.The table will be integrated into a native SAP HANA calculation view.

C.When the table is accessed, all columns of a single record are processed.

D.Aggregation and fast search is required for query execution.

Question 12

What happens when you execute the Trigger Delta Merge operation for a given data target?

A.Data is transferred from the delta store to the main store.

B.The data from the delta queue is extracted and merged into the data target.

C.The delta between the new data and the already loaded data is removed.

D.The before and after images of the delta queues are merged.

Question 13

You expect to have more than 2 billion records as master data references for a characteristic in your data model and want to use the high cardinality option. What do you need to consider in reporting?

A.The High Cardinality property needs to be defined in the Composite Provider.

B.Using a hierarchy of this characteristic for navigation will impact response time.

C.Using this characteristic as a navigational attribute will impact response time.

D.The local SID values are created automatically during reporting, which will impact the response time.

Question 14

You want to define a restricted column in an SAP HANA calculation view. What do you need to define?
Note: There are 2 correct Answers to this question.

A.An SAP HANA data type

B.A condition criterium

C.A reference to an existing measure

D.An aggregation method

Question 15

You want to build an SAP HANA calculation view of data category CUBE, but you get the "no measure defined" error. For the business requirement, a measure does not make sense. Besides changing the data category to DIMENSION, what do you have to do?

A.Switch from a projection node to an aggregation node.

B.Switch from an aggregation node to a star join node.

C.Switch from an aggregation node to a projection node.

D.Switch from a projection node to a star join node.

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