SAP Certified Application Associate - Data Integration with SAP Data Services - C_DS_43무료 덤프문제 풀어보기

A. Insert, updates and deletes for a specified time range.

B. Update rows but NOT insert or deleted records.

C. Inserted and updated rows but not delete rows

D. Every single change made to a row

A. View and modify the overall optimization plan of a data services engine

B. View and modify the SQL to improve performance

C. View and modify the SQL and adjust the dataflow to maximize push-down operations.

D. View and modify the database execution plan within the Data Services Designer

A. By creating two dataflows and executing the Auto Correct Load version when reired

B. By using the table comparison transform

C. by setting the target table loader with Bulk Load and Auto Correct Load enabled.

D. by setting the target table loader with bulk load enabled

A. Is is rerun with the first failed row.

B. It is rerun from the beginning and the desing of the data flow must deal with partially loaded data.

C. It is rerun from the beginning and the partially loaded data is always handled automanticaly.

D. It is rerun only if the dataflow is part of a recovery unit.

A. To output all rows to the default path regardless if the they match the case expressions.

B. To output all rows that match the case statement

C. To output all rows that do not match any case expression to the default path

D. to output all rows that do match exactly one case expression

A. Use the debug option in the Data Services Management console

B. Use the scheduler in the Data Services Management Console

C. Use the scheduler in the Data Services Designer

D. "Execute the job manually in the Data Services Designer."

A. Julian format

B. Increment

C. Effective date column

D. end date

A. To reduce the memory consumption in the target database.

B. To define a connection to SAP HANA

C. To enhance processing performance of datadlows used in real time jobs.

D. To reduce the memory consumption in the source database.

A. Primary keys in the input schema must be mapped to only one column in the output schema

B. All columns of the input schema must be mapped to the output schema

C. Every column of the output schema must have a mapping

D. Each column in the output schema must be mapped to one or more columns in the input schema