The Talend Data Integration Certified Developer Exam (Data-Integration-Developer)

A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A tRunJob component is a component that allows you to call another job as a subjob within a parent job. When comparing a Joblet to a tRunJob component, these statements are true:

A Joblet uses the same context variables of the job in which it is used, unlike a tRunJob component. A context variable is a variable that can store a value that can be changed at runtime or between different contexts. A Joblet inherits the context variables from the job that contains it and does not have its own context variables. A tRunJob component can pass context variables from the parent job to the child job, or use a specific context for the child job.

Building a Joblet typically requires the use of generic input and trigger components. A Joblet can have one or more input and output flows that connect it with other components in a job. To create these flows, you need to use generic input and trigger components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you to define schemas and triggers for your Joblet without depending on specific components.

The nested job called by a tRunJob component cannot use the same context variables of the job in which it is used. A nested job is a job that is called by another job using a tRunJob component. A nested job can have its own context variables or receive context variables from its parent job, but it cannot use the same context variables as its parent job. This means that if you have two context variables with the same name in both jobs, they will be treated as separate variables and will not share values.

These statements are false when comparing a Joblet to a tRunJob component:

The performance of tRunJob component is better than running an equivalent job using a Joblet. The performance of a Joblet is better than running an equivalent job using a tRunJob component. This is because a Joblet is integrated into the main code of the job and does not require launching another JVM process or loading another metadata object like a tRunJob component does.  References :  Talend Open Studio: Open-source ETL and Free Data Integration | Talend , [Joblets - 7.3], [tRunJob properties - 7.3] , [Contexts - 7.3]

Talend Studio provides two types of SQL templates: system SQL templates and user-defined SQL templates. SQL templates are predefined SQL queries that can be used in various components that execute SQL statements, such as tDBInput, tDBRow, tDBOutput, etc. System SQL templates are provided by Talend Studio and cover common SQL operations, such as creating, dropping, or altering tables, inserting, updating, or deleting data, etc. User-defined SQL templates are created by the user and can be customized according to specific needs. User-defined SQL templates can be created by using the SQL Templates view in Talend Studio and can be organized into categories and subcategories. There are no custom SQL templates or system-defined SQL templates in Talend Studio.  References :  Talend Open Studio: Open-source ETL and Free Data Integration | Talend , [SQL Templates - 7.3]

The design workspace in Talend Studio allows the user to graphically connect components in a Job to run a dataflow process. The design workspace is the main area where the user can design the data integration logic by dragging and dropping components from the palette and linking them with connectors. The design workspace also shows the schema of each component, which defines the structure and type of the data.

To run a job that has been exported by a colleague to run outside Talend Studio, you need to extract the content of the archive and run the batch file or the shell script. The archive file contains all the files and libraries required to run the job independently from Talend Studio on any platform that supports Java. The archive file also contains two executable files: a batch file (.bat) for Windows platforms and a shell script (.sh) for Linux platforms. You need to run the appropriate file for your platform by double-clicking on it or using a command line tool. This will launch the job and display its output in a console window.

You do not need to extract the contents of the archive and run both the batch file and shell script, install the job and start the resulting service, or extract the files from the archive and run the JAR file. These methods are not correct or available in Talend Studio and may cause errors or unexpected results.  References :  Talend Open Studio: Open-source ETL and Free Data Integration | Talend , [Build Job - 7.3]

The code viewer tab in Talend Studio provides lines of code generated for the selected component in a Job. It shows the code in the language of the component, such as Java or Perl. The code viewer tab allows the user to view and edit the code, as well as copy and paste it to another editor. The code viewer tab also displays errors and warnings related to the code.  References:   Code viewer tab

To trigger auto-completion in Talend Studio, you can use the keystrokes Ctrl + Space. This will display a list of possible suggestions based on what you have typed so far. For example, if you type context. and press Ctrl + Space, you will see a list of all the context variables you have defined. You can then select the one you want from the list or continue typing to narrow down the choices. Auto-completion can help you avoid typing errors and save time when configuring components or writing expressions.  References :  Talend Open Studio: Open-source ETL and Free Data Integration | Talend

To build a job to run outside Talend Studio that must run on both Linux and Windows, you need to select Build Job because jobs are runnable on all platforms. The Build Job option allows you to export your job as an executable file that can be run independently from Talend Studio on any platform that supports Java. You can access this option by right-clicking on your job in the Repository tree view and selecting Build Job. This will open a dialog box where you can configure the build settings, such as destination folder, archive name, context, etc.

You do not need to specify All for the Shell launcher option in the Build Job window, configure the job properties before building the job, or build one package for each platform. These methods are not necessary or available in Talend Studio and may cause errors or unexpected results.  References :  Talend Open Studio: Open-source ETL and Free Data Integration | Talend , [Build Job - 7.3]

 The tDBInput component allows you to configure the connection properties either by using a built-in mode or by using a repository mode. The built-in mode lets you set all the relevant properties manually, such as host, port, database, username, password, etc. The repository mode lets you reuse an existing connection metadata that is stored in the repository. If you have multiple jobs that use different credentials to connect to a common database server, you should use the built-in mode and set the properties for each job individually. This way, you can avoid creating multiple connection metadata in the repository and maintain them separately.  References :  Talend Data Integration — Software to Connect, Access, and Transform Data | Talend , [tDBInput properties - 7.3]

The context in which a job is run can be affected by different factors, such as the context chosen by the developer when running the job, or the tRunJob component that can influence the context in which the child job runs. The context chosen by the developer when running the job can be selected from the Basic Run tab of Run Job section in Talend Studio. This allows the developer to test the job with different sets of context variables without modifying the job design. The tRunJob component can be used to call another job as a subjob within a parent job. The tRunJob component can pass the context parameters from the parent job to the child job, or use a specific context for the child job. This allows the developer to reuse existing jobs and control their execution contexts. The tContextLoad component and the tContextDump component do not affect the context name in which a job is run, but they can affect the context values. The tContextLoad component can load context parameters from a file or a database table at runtime and overwrite the existing values. The tContextDump component can display or save the current context parameters and their values for debugging purposes.  References :  Talend Data Integration — Software to Connect, Access, and Transform Data | Talend , [tRunJob properties - 7.3], [tContextLoad properties - 7.3] , [tContextDump properties - 7.3]