You need to combine data from different database tables within your OData service. Which capability do you use for this relationship? Please choose the correct answer.
Correct Answer: C
An OData service is a web service that exposes data from a data source, such as a SAP HANA database, in a standardized and interoperable format. An OData service consists of one or more entity sets, which are collections of entities of the same type. An entity is a data object that has properties and a unique key. An OData service can also define associations between entity sets, which are relationships that specify how entities are related to each other. For example, an association can define a one-to-many or a many-to-many relationship between two entity sets. Associations enable an OData service to combine data from different database tables within the same service. For example, an OData service can define an association between a Products entity set and a Categories entity set, where each product belongs to one category and each category can have multiple products. This association can be used to query or update data from both entity sets in a single request. The other options are incorrect because they are not capabilities that can be used to combine data from different database tables within an OData service. Aggregations are operations that summarize or group data, such as count, sum, average, or min/max. Projections are operations that select or filter data, such as select, expand, or filter. Entity sets are collections of entities of the same type, but they do not define relationships between entities. References: * SAP HANA Platform 2.0 SPS06: OData V4 Developer Guide, Section 2.1 * SAP HANA Platform 2.0 SPS06: OData V4 Developer Guide, Section 2.3 * SAP HANA Platform 2.0 SPS06: OData V4 Developer Guide, Section 2.4 * SAP HANA Platform 2.0 SPS06: OData V4 Developer Guide, Section 2.5 * SAP HANA Platform 2.0 SPS06: OData V4 Developer Guide, Section 2.6
Question 2
How do you debug a Node.js module in SAP Web IDE for SAP HANA? Please choose the correct answer.
Correct Answer: D
According to the SAP Web IDE for SAP HANA Developer Guide, you can debug a Node.js module in SAP Web IDE for SAP HANA by attaching the debugger to the application in the SAP Web IDE for SAP HANA. To do this, you need to open the debugger panel, attach your application, and choose your multi-target application and select a debug target. Then, you can perform the regular debugging tasks, such as setting breakpoints, stepping through the code, examining the variables, and so on. The other options are incorrect, because: * Setting the enabled parameter to true in the section debugger of the xsengine.ini file is not a way to debug a Node.js module in SAP Web IDE for SAP HANA, but a way to enable the XS JavaScript debugger for XSJS applications. This is not relevant for Node.js modules, which use a different runtime and debugger. * Adding the sap.hana.xs.debugger::Debugger role to the HDI Container's #RT User is not a way to debug a Node.js module in SAP Web IDE for SAP HANA, but a way to grant the XS JavaScript debugger privileges to the runtime user of the HDI container. This is not relevant for Node.js modules, which use a different runtime and debugger. * Starting the debugger from the XS command line interface and running the program in SAP Web IDE for SAP HANA is not a way to debug a Node.js module in SAP Web IDE for SAP HANA, but a way to debug a Node.js module using command-line tools. This is an alternative option for debugging Node.js modules, but it does not use the SAP Web IDE for SAP HANA. References: SAP Web IDE for SAP HANA Developer Guide, Chapter 6, Section 6.4.2, page 2111.
Question 3
You want to exclusively use declarative logic in an SQL Script procedure. Which of the following operators can you use? There are 2 correct answers to this question.
Correct Answer: C,D
To exclusively use declarative logic in an SQL Script procedure, you can use TABLE variables and MAP_REDUCE functions. TABLE variables are variables that store intermediate results of SQL queries in a tabular format. You can use TABLE variables to define data transformations and data flows without using imperative statements or side effects1. MAP_REDUCE functions are functions that apply a map function to each row of a table and then aggregate the results using a reduce function. You can use MAP_REDUCE functions to implement complex algorithms and calculations in a declarative way2. The other two options, COMMIT statement and IF condition, are not operators that can be used to exclusively use declarative logic in an SQL Script procedure. COMMIT statement is a statement that ends a transaction and makes all changes permanent in the database. You cannot use COMMIT statement in a declarative logic, as it is an imperative statement that has a side effect3. IF condition is a condition that executes a block of code based on a boolean expression. You cannot use IF condition in a declarative logic, as it is an imperative construct that introduces control flow4. References: 1: TABLE Variables | SAP Help Portal 2: MAP_REDUCE Function | SAP Help Portal 3: COMMIT Statement | SAP Help Portal 4: IF Statement | SAP Help Portal
Question 4
What are the nodes where filter expressions can be used in a calculation view? There are 2 correct answers to this question.
Correct Answer: A,C
Filter expressions can be used in a calculation view to restrict or modify the data that is displayed or processed by the view. Filter expressions can be used in the following nodes of a calculation view12: * Aggregation: An aggregation node is a node that applies aggregation functions, such as sum, count, or average, to the data that is passed from the previous node. Filter expressions can be used in an aggregation node to filter the data before or after the aggregation, or to define the aggregation level or the measure attributes. For example, you can use a filter expression to show only the sales data for a specific region or product category, or to calculate the average revenue per customer. * Union: A union node is a node that combines the data from two or more nodes that have the same structure and data types. Filter expressions can be used in a union node to filter the data from each input node, or to filter the data from the output node. For example, you can use a filter expression to exclude the duplicate rows from the union result, or to show only the data that matches a certain condition from each input node. The other options are not correct because filter expressions cannot be used in these nodes of a calculation view. A star join node is a node that joins a fact table with one or more dimension tables, based on the common key attributes. A star join node does not support filter expressions, but it supports input parameters, which are variables that can be used to filter the data at runtime. A rank node is a node that ranks the data according to a specified order and criteria. A rank node does not support filter expressions, but it supports rank filters, which are conditions that can be used to limit the number or percentage of rows in the rank result. References: * SAP HANA Platform, SAP HANA Modeling Guide for SAP HANA Web Workbench, Calculation Views * SAP HANA Platform, SAP HANA Developer Guide for SAP HANA Web IDE, Developing Database Modules, Developing Calculation Views, Using Filter Expressions
Question 5
To perform a specific task of an XS advanced application, what does a user need? Please choose the correct answer.
