C-HANAIMP-16 무료 덤프문제 온라인 액세스

You want to control parallelization in a calculation view. Which action is mandatory when you define the parallelization block?

• A.Define a union node as the start of the parallelization block.
• B.Define a projection node as the end of the parallelization block.
• C.Assign tables as the only data sources in the nodes that start the parallelization block.
• D.Define a source column as partitioning value in the start node of the parallelization block.

Your calculation view consumes one data source which includes the following columns :
SALES_ORDER_ID, PRODUCT_ID, QUANTITY & PRICE.
In the output, you want to see summarized data by PRODUCT_ID and a calculated column, PRODUCT_TOTAL, with the formula QUANTITY * PRICE.
In which type of node do you define the calculation to display the correct result?

• A.Join
• B.Projection
• C.Aggregation
• D.Union

Using the table in the diagram, you need to create a cube calculation view. What is the simplest approach to create the output from the screen shot?

• A.Create a filter expression that uses an OR operator.
• B.Implement a union node and map each year as a separate column.
• C.Create a restricted column for each year.
• D.Create 3 calculated columns.

What are the key steps to implement currency conversion in a calculation view?

• A.Assign semantic type
  Choose client, source and target currencies Choose conversion date and rate type Define an expression in a calculated column
• B.Assign semantic type
  Enable the measure for conversion
  Choose client, source and target currencies Choose conversion date and rate type
• C.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
• D.Enable the measure for conversion
  Choose client, source and target currencies Choose conversion date and rate type Build the conversion rule

What must you create to access a Predictive Analysis Library (PAL) procedure from inside your HDI container?

• A.Synonym
• B.Wrapper
• C.Database connection
• D.Function