Talend Data-Integration-Developer Practice Exam Questions & Answers

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.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]

To specify the remote JobServer to execute a job, you need to use the Target Exec tab in the Run view of Talend Studio. The Run view allows you to configure and execute your job from Talend Studio. The Target Exec tab allows you to select whether you want to run your job locally or remotely on a JobServer. A JobServer is a server application that allows you to execute jobs remotely from Talend Studio or Talend Administration Center. To run your job on a remote JobServer, you need to select Remote Jobserver option from the drop-down menu and select or add a JobServer connection from the list.

You do not need to use Job settings section of Project Settings window, Extra tab in Job view, or Run/Debug section in Preferences window. These windows are not used to specify remote JobServer execution. The Job settings section of Project Settings window is used to configure general settings for your jobs, such as versioning, statistics, logs, etc. The Extra tab in Job view is used to configure extra features for your job, such as implicit context load, tStatCatcher, tLogCatcher, etc. The Run/Debug section in Preferences window is used to configure run/debug settings for your Talend Studio, such as JVM arguments, execution mode, etc.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Run view - 7.3], [Project Settings - 7.3], [Job view - 7.3], [Preferences - 7.3]

Using the following input file format as an example:

<OCR>Name, Phone Abraham Smith, 510-555-5555 ... Steven Doe, 613-555-5555 </OCR>

The tFileInputDelimited component parameters that you should configure to parse the input file correctly are Schema, Field separator, and Header. The Schema parameter defines the structure and type of the data in the input file. You can use a built-in schema or a repository schema to specify the columns and their properties. The Field separator parameter defines the character that separates each field in a row of data. In this case, it is a comma (,). The Header parameter defines the number of rows to be skipped at the beginning of the file. In this case, it is 1, as the first row contains the column names.

The tLogCatcher component can catch exceptions from three types of components: tWarn, tDie, and Java Exception. The tWarn component is used to trigger a warning message that can be caught by the tLogCatcher component for an exhaustive log. The tDie component is used to stop the execution of a job or a subjob and return an error code that can be caught by the tLogCatcher component for an exhaustive log. The Java Exception component is used to handle any Java exception that occurs during the execution of a job or a subjob and pass it to the tLogCatcher component for an exhaustive log. The tLogCatcher component cannot catch exceptions from other types of components, such as OnSubjobError Exception or tAssertCatcher. The OnSubjobError Exception is a trigger that is activated when an error occurs in a subjob and can be used to perform some actions after the error, such as sending an email or logging a message. The tAssertCatcher component is a component that collects the assert data generated by the tAssert component and passes it on to the output defined. The tAssert component is used to verify if a condition is true or false and generate an assert data accordingly.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tLogCatcher properties - 7.3], [tWarn properties - 7.3], [tDie properties - 7.3], [Java Exception properties - 7.3], [OnSubjobError properties - 7.3], [tAssertCatcher properties - 7.3], [tAssert properties - 7.3]

The tMap component allows you to perform data transformations and joins between multiple input sources and output targets. You can configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. If you do so, the data will flow only to that output and not to the main output. If you do not configure an output to collect the rejects, the data will be ignored and no error will be raised.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties - 7.3]

In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes. This prompt is significant because it allows you to confirm that you want to apply the schema changes to the next component in the Job. This can save you time and effort by automatically updating the schema of the downstream component, instead of manually editing it. However, you should be careful when propagating changes, as it may overwrite existing schemas or cause errors in the Job logic. You can also choose to cancel the propagation and edit the schema manually.