Which join type is NOT supported by join optimization (pruning)? Please choose the correct answer.
Correct Answer: D
Join optimization (pruning) is a technique that allows you to omit join fields from the aggregation if they are not requested by the query and they do not affect the result set. Join optimization (pruning) can improve the query performance by reducing the data volume and the number of join operations. However, join optimization (pruning) is only supported for certain types of joins, such as outer join, text join, and referential join. These types of joins preserve the number of records from one of the join partners, regardless of the join condition. Therefore, the join execution does not influence the result set, and the join fields can be safely omitted12. Inner join is not a type of join that is supported by join optimization (pruning). Inner join is a type of join that only returns the records that have a matching partner in both join partners, based on the join condition. Inner join can add or delete records from the result set, depending on the data and the join condition. Therefore, the join execution does influence the result set, and the join fields cannot be omitted without changing the query semantics12. References: 1: Optimize Join Execution | SAP Help Portal 2: Prerequisites for Pruning Join Columns | SAP Help Portal
Question 42
Which trace do you use to create a graphical representation of an individual SQL Statement? Please choose the correct answer.
Correct Answer: C
To create a graphical representation of an individual SQL statement, you can use the Plan trace. The Plan trace is a tool that allows you to generate and visualize the execution plan of an SQL statement, with estimated or actual performance information for each operator. The Plan trace can help you understand and analyze the query optimization and execution process, and identify potential performance bottlenecks or improvement opportunities12. The other options, Expensive statements trace, Performance trace, and SQL trace, are not tools that can create a graphical representation of an individual SQL statement. The Expensive statements trace is a tool that records the SQL statements that exceed a certain threshold of resource consumption, such as CPU time, memory, or disk reads. The Expensive statements trace can help you identify the most resource-intensive queries in the system, but it does not provide a graphical view of the execution plan3. The Performance trace is a tool that records the performance statistics of the database operations, such as SQL statements, transactions, procedures, or triggers. The Performance trace can help you measure and compare the performance of different database operations, but it does not provide a graphical view of the execution plan either. The SQL trace is a tool that captures every SQL statement that enters the database at the session layer. The SQL trace can help you monitor and troubleshoot the SQL statements that are executed in the database, but it does not provide a graphical view of the execution plan either. References: 1: Plan Trace | SAP Help Portal 2: Analyzing SQL Execution with the Plan Visualizer | SAP Help Portal 3: Expensive Statements Trace | SAP Help Portal : [Performance Trace | SAP Help Portal] : [SQL Trace | SAP Help Portal]
Question 43
Which OData service do you use to prevent changes to existing line items of the sap.test :myTable table? Please choose the correct answer.
Correct Answer: A
To prevent changes to existing line items of the sap.test::myTable table, you can use the OData service that specifies the update authorization as no-authorization for the table. This means that the OData service does not allow any update operations on the table, such as PUT, PATCH, or MERGE. The option A shows the code snippet that defines the OData service with this restriction. The other options do not have the update no-authorization clause for the table, and therefore, they do not prevent changes to the existing line items. References: OData Service Authorization, OData Security Considerations.
Question 44
You develop a Node.js application for the SAP HANA platform that executes a SQL statement in the SAP HANA database. Which modules do you use? There are 2 correct answers to this question.
Correct Answer: A,C
Question 45
Which configuration file indicates the program that is executed upon start up when you run the Node.js module? Please choose the correct answer.
Correct Answer: A
The package.json file is the main configuration file for a Node.js module. It contains various metadata about the module, such as its name, version, dependencies, scripts, and main entry point. The main entry point is the program that is executed when the module is run or required by another module. By default, the main entry point is index.js, but it can be changed by specifying the main property in the package.json file12. For example, if the main property is set to "server.js", then the server.js file will be executed upon start up when the module is run. The other options are not correct because: * project.json: This is not a standard configuration file for Node.js modules. It may be used by some frameworks or tools, but it is not recognized by Node.js itself3. * server.js: This is a common name for a file that contains the server logic for a Node.js module, but it is not a configuration file. It may be the main entry point for the module, but only if it is specified in the package.json file4. * mta.yaml: This is a configuration file for multi-target applications (MTAs) in SAP HANA XS advanced model. It defines the modules, resources, and dependencies of an MTA, but it is not specific to Node.js modules5. References: 1: package.json | Node.js v17.0.1 Documentation 2: Debugging in Visual Studio Code 3: How to run Node.js module initialization properly - Stack Overflow 4: Running Node.js Apps with PM2 (Complete Guide) - Better Stack 5: SAP HANA Developer Guide for SAP HANA XS Advanced Model (SAP Web IDE)
