SAP C_HANADEV_18 Exam With Confidence Using Practice Dumps

To complete the navigation definition from the customer entity set to the corresponding sales orders, you need to insert an association statement between the two entity sets. An association defines a relationship between two entity sets based on a referential constraint, which specifies the foreign key and the principal key properties that link the entity sets. An association also defines the cardinality and the role names of the entity sets involved in the relationship1. In this case, the association statement should look something like this:

association Customer_Orders with referential constraint principal customer key CustomerID dependent Orders key CustomerID multiplicity “1” to “*”;

This statement defines an association named Customer_Orders that relates the customer entity set with the Orders entity set based on the CustomerID property. The principal role is assigned to the customer entity set, which means that each customer entity can have zero or more related Orders entities. The dependent role is assigned to the Orders entity set, which means that each Orders entity must have exactly one related customer entity2.

The other options are not correct because:

• Aggregation: This is a feature of calculation views that allows you to define measures and attributes for analytical queries. It is not related to OData service definitions3.
• Key specification: This is a clause that you use to define the key properties of an entity type in an OData service definition. It is not used to define navigation between entity sets1.
• Join condition: This is a clause that you use to specify how to join two tables or views in a SQL statement. It is not used to define navigation between entity sets4.

References: 1: OData Service Definition Language Syntax (XS Advanced) 2: OData Service-Definition Examples 3: Creating Calculation Views 4: SQL Reference Manual

To produce sales value for the month using sales order line items (sales price per item x quantity sold), you can use a calculated column of a calculation view that performs the multiplication of the two columns and applies a transparent filter and a non-equijoin to restrict the data to the desired month. A transparent filter is a filter condition that is applied to the data source of a view node and is propagated to the subsequent nodes. A non-equijoin is a join condition that uses operators other than equality, such as greater than, less than, or between. For example, you can use a transparent filter to filter the sales order line items by the month of the order date, and then use a non-equijoin to join the sales order line items with the sales price table by the order date and the valid from and valid to dates of the sales price. References: Transparent Filters, Non-Equijoins, Create Calculated Columns.

According to the SAP HANA Developer Guide, declarative logic in SQL Script is a way of expressing complex data transformations by means of classical relational operators, such as selection, projection, join, aggregation, etc. Declarative logic does not specify how data is processed, but rather what the desired result is. The SAP HANA database has the freedom to optimize the data flow and execution plan, which may result in better performance. Declarative logic is free of side effects, meaning that it does not modify any data or state outside the scope of the statement. Declarative logic declares the flow of data, meaning that it binds new variables that are referenced elsewhere in the body of the procedure or function. The other options are incorrect, because:

• Declarative logic does not support the full set of SQL Script, but only a subset of SQL features that are side-effect free and deterministic. For example, declarative logic does not support imperative constructs, such as loops, conditions, exceptions, etc.
• Declarative logic does not define how data is processed, but rather what the desired result is. How data is processed is determined by the SAP HANA database optimizer, which may choose different execution plans depending on the data characteristics, system resources, and other factors.

References: SAP HANA Developer Guide, Chapter 6, Section 6.4.2, page 2111.