Get SAP C_HANADEV_18 Exam Dumps

Answer : C, D

According to the SAP HANA Performance Guide for Developers1, the SQL Analyzer tool can help you understand and analyze the execution plan of a SQL statement, and identify potential bottlenecks and optimizations. Some of the possible optimizations are:

Modify SQL hints: SQL hints are directives that you can add to a SQL statement to influence the behavior of the SQL optimizer. For example, you can use hints to specify a join type, a join order, a join condition, a table distribution, or a parallel degree. SQL hints can help you improve the performance of a query by overriding the default choices of the optimizer, or by providing additional information that the optimizer cannot infer from the data or statistics. However, SQL hints should be used with caution, as they can also have negative effects if they are not compatible with the data characteristics or the system configuration. Therefore, you should always test the impact of SQL hints on the query execution time and resource consumption, and compare the results with the original query without hints. You can use the SQL Analyzer tool to view the effect of SQL hints on the execution plan, and modify them accordingly. For more information on SQL hints, see [SAP HANA SQL and System Views Reference].

Change the data model: The data model is the logical representation of the data and the relationships among them. The data model can have a significant impact on the performance of a query, as it determines how the data is stored, accessed, and processed by the database. A well-designed data model can reduce the complexity and cost of a query, and enable the use of efficient operators and algorithms. On the other hand, a poorly-designed data model can lead to redundant or inconsistent data, unnecessary joins or aggregations, or suboptimal access paths. Therefore, you should always review the data model and consider changing it if it does not meet the requirements of the query or the application. For example, you can use different types of views, such as calculation views, analytical views, or attribute views, to model the data according to the business logic and the analytical needs. You can also use different types of tables, such as column tables, row tables, or partitioned tables, to store the data according to the access patterns and the distribution strategies. You can use the SQL Analyzer tool to view the data model of the query, and identify the possible changes that can improve the performance. For more information on data modeling, see [SAP HANA Modeling Guide].

Answer : A, C

When a user is dropped with the ''cascade'' option, the user and all the objects owned by the user are deleted from the database. However, the objects that are owned by other users, or on which other users have privileges, are not affected by the drop command. The privileges granted to or by the dropped user are also revoked automatically.Therefore, the objects on which other users have privileges are not dropped, and the objects owned by other users are not dropped12.

The other options are not correct because they are not the consequences of dropping a user with the ''cascade'' option. The objects on which other users have privileges are not dropped, because they are not owned by the dropped user, and they may still be needed by the other users. The objects owned by other users are not dropped, because they are not related to the dropped user, and they may have dependencies or references to other objects.Reference:

SAP HANA Platform, SAP HANA SQL and System Views Reference, SQL Reference Manual, SQL Statements, DROP USER

SAP HANA Platform, SAP HANA Administration Guide, Security, User Management, Dropping Users

Answer : C

To check user input data in your OData request, you need to use the Validation exit type. The Validation exit type is a custom exit that allows you to perform validation of input data and data consistency checks before, after, or during the change operation, or before or after the commit operation. You can specify a maximum of four validation exits per change operation; the exit is registered for the corresponding event with the respective keyword: ''before'', ''after'', ''precommit'' or ''postcommit''.The validation exit is executed as an SQLScript procedure with a specific signature, and it can raise an error if the input data does not meet the validation criteria1.

The other options, Consistency, Modification, and Verification, are not exit types that you can use to check user input data in your OData request. Consistency is not an exit type, but a property that you can set in the OData service definition to enable or disable the consistency check for the change operations.The consistency check ensures that the data in the database is consistent with the data in the request payload2. Modification is an exit type that allows you to define custom logic to create, update, or delete an entry in an entity set.If a modification exit is specified, it is executed instead of the generic actions provided by the OData infrastructure1.Verification is not an exit type, but a process that you can perform to ensure that the OData service definition is valid and can be activated without errors3.Reference:1:Custom Exits for OData Write Requests | SAP Help Portal2:Consistency Check | SAP Help Portal3:Verifying the OData Service Definition | SAP Help Portal

Answer : B, D

SAP HANA calculation views are flexible information views that you can use to define more advanced slices on the data available in the SAP HANA database. Calculation views can be created using graphical or script-based editors, and can include any combination of tables, column views, attribute views, analytic views, and other calculation views. Calculation views can also support complex expressions, multidimensional analysis, currency conversion, hierarchies, and other analytic capabilities. Some general characteristics of calculation views are:

Need database tables to execute. Calculation views are based on the data stored in the SAP HANA database tables, either in column or row format. Calculation views can access data from local or remote tables, as well as virtual tables that are mapped to external data sources. Calculation views can also use data from other information views, such as attribute views or analytic views, which are also based on database tables. Calculation views do not store any data themselves, but rather perform calculations on the fly when queried.

Do NOT need an application server to execute. Calculation views are executed by the SAP HANA Calculation Engine, which is a component of the SAP HANA database that handles the processing of complex calculations and transformations on the data. Calculation views do not require any application server or middleware layer to run, as they are directly exposed to the reporting tools and applications via SQL or MDX interfaces. Calculation views can also be accessed by SAP HANA extended application services, advanced model (XS advanced), which is a framework for developing and running applications on the SAP HANA platform.

The other options are incorrect because calculation views do not need an application server to execute, nor do they not need database tables to execute. These are the opposite of the correct characteristics of calculation views.Reference:

Using Calculation Views- SAP Help Portal

Calculation View Instantiation Process- SAP Help Portal

SAP HANA Calculation Engine- SAP Help Portal

SAP HANA Extended Application Services, Advanced Model- SAP Help Portal

[HA300 - SAP HANA 2.0 SPS06 Modeling] - SAP Training

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.