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NEW QUESTION # 12
Which component can be used to read a CSV file in an ESB Route?
- A. cFileInputDelimited
- B. tMap
- C. cFile
- D. tFileInputDelimited
- E. cMap
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
In Talend's Enterprise Service Bus (ESB) routes, the appropriate component to read a CSV file is cFileInputDelimited. This component is specifically designed for Camel routes to handle delimited files like CSVs.
NEW QUESTION # 13
Where can you specify the remote JobServer to execute a Job?
- A. Extra tab in the Job view
- B. Run/Debug section in the Preference window
- C. Target Exec tab in the Run view
- D. Job settings section of the Project Settings windows
Answer: C
Explanation:
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. References: 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]
NEW QUESTION # 14
You are building a Job to run outsode Talend Studio that must run on both Linux and Windows.
Which action should you take when building the Job?
- A. Configure the Job properties building the Job.
- B. Specify All for the Shell launcher option in the Build Job windows.
- C. Build one package for each platform.
- D. Select Build Job because Jobs are runnable on all platforms
Answer: B
Explanation:
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]
NEW QUESTION # 15
Which concepts are a part of Pipeline Designer? Choose 3 answers.
- A. Preparations
- B. Connection
- C. Context variables
- D. Dataset
- E. Processor
Answer: B,D,E
Explanation:
Comprehensive and Detailed Explanation:
Talend's Pipeline Designer is a tool that enables users to design and execute data integration workflows. Key components of Pipeline Designer include:
* Connection (Option C):
* Defines the link between Pipeline Designer and various data sources or destinations, specifying how to access and interact with external systems.
* Dataset (Option D):
* Represents the structured data that flows through the pipeline, serving as the input or output of various processing steps.
* Processor (Option E):
* Performs specific operations on the data within the pipeline, such as transformations, aggregations, or filtering, to achieve the desired data processing outcomes.
Why not other options?
* Option A:While context variables are used in Talend Studio for parameterizing jobs, they are not a primary concept in Pipeline Designer.
* Option B:"Preparations" refer to data transformation sequences in Talend Data Preparation, not directly in Pipeline Designer.
NEW QUESTION # 16
Which capabilities does Traces Debug provide?
Choose 2 answers
- A. Breaking when an input column fulfills a condition
- B. Filtering which data is propagated by a flow
- C. Advancing one column at a time
- D. Breaking on a selected line of code
- E. Advancing one row at a time
Answer: A,E
Explanation:
Trace Debug mode is a feature that allows you to trace each row processed by your job components and see the values of each column in each row. You can access this mode by opening the Debug Run tab of the Run view and clicking on Trace Debug button.
The capabilities that Trace Debug mode provides are:
* Breaking when an input column fulfills a condition. You can set breakpoints on traces based on a condition or an expression that involves input data columns. For example, you can set a breakpoint to pause your job when a customer name contains a certain string or when a product price exceeds a certain value. To set a breakpoint based on a condition, you need to right-click on a trace on your jobdesign workspace and select Show Breakpoint Setup option. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
* Advancing one row at a time. You can advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data.
The capabilities that Trace Debug mode does not provide are:
* Filtering which data is propagated by a flow. You cannot filter which data is propagated by a flow in Trace Debug mode. A flow is a link that shows the data transfer between components in your job design workspace. In Trace Debug mode, you can see the data flow on each trace and inspect the values of each column for each row processed by your job. However, you cannot change which rows are propagated by a flow based on a condition or an expression.
* Advancing one column at a time. You cannot advance the execution of your job one column at a time in Trace Debug mode. You can only advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data. However, you cannot see how each column is processed by your job components and how it affects the output data.
* Breaking on a selected line of code. You cannot break on a selected line of code in Trace Debug mode.
You can only break on a trace based on a condition or an expression that involves input data columns.
To break on a selected line of code, you need to use Java Debug mode. Java Debug mode allows you to debug your job code in Java or Perl and see the values of each variable or expression in your code. You can access this mode by switching to the Java perspective and clicking on the Debug button in the toolbar of the Code view. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]
NEW QUESTION # 17
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers
- A. Building a Joblet typically requires the use of generic input, and trigger component.
- B. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.
- C. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
- D. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
- E. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
Answer: A,D,E
Explanation:
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 todefine 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]
NEW QUESTION # 18
You built multiple Jobs in Studio, each uses its own tDBInput component to connect to a common database server, but they all use different credentials. How should you configure the tDBInput components?
- A. Set the Property type to Repository and use a common DB connection metadata.
- B. Set the Property type to Repository and replace the credentials in each component.
- C. Set the Property type to Built-in and set all the relevant properties manually.
- D. Set the Database field to Metadata.
Answer: C
Explanation:
Comprehensive and Detailed Explanation:
When multiple Jobs require connections to the same database server but with different credentials, the recommended approach is:
* Set the Property Type to Built-in and Set All the Relevant Properties Manually (Option C):
* In each tDBInput component, set the 'Property Type' to 'Built-in.'
* Manually enter the connection details, including the specific username and password required for that particular Job.
This approach ensures that each Job uses its own set of credentials, maintaining the necessary security and access controls.
NEW QUESTION # 19
You created a Remote Engine in Talend Cloud and copied the Remote Engine key. You downloaded the Remote Engine script for your Linux system, and now you need to pair the engine manually. Which options can you use to set the key? Choose 2 answers.
- A. In the engine run script command line as a parameter.
- B. In Studio Talend Cloud preferences.
- C. In the key configuration file of the engine.
- D. In the Remote Engine web service page.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation:
To manually pair a Remote Engine with Talend Cloud, you can set the pairing key using the following methods:
* In the Remote Engine web service page (Option B):
* Access
the Remote Engine's web interface, typically available at http://localhost:8043/configuration.
* Enter the pairing key obtained from the Talend Management Console.
* Click onPAIR REMOTE ENGINEto establish the connection.
* In the key configuration file of the engine (Option C):
* Locate the preauthorized.key.cfg file in the Remote Engine's etc directory.
* Open the file and paste the pairing key into the remote.engine.pre.authorized.key parameter.
* Save the changes and restart the Remote Engine to apply the configuration.
Why not other options?
* Option A:Setting the pairing key in Talend Studio's preferences is not applicable for pairing a Remote Engine.
* Option D:While it's technically possible to pass the pairing key as a parameter in the engine's run script, it's not the standard or recommended method.
NEW QUESTION # 20
Which file should you edit to enable SSL for a JobServer?
- A. Jsl_stati64.ini
- B. Conf/server.xml
- C. Conf/TalendServer.properties
- D. Conf/TalendJobServer.properties
Answer: D
Explanation:
To enable SSL for a JobServer, you need to edit the conf/TalendJobServer.properties file. A JobServer is a server application that allows you to execute jobs remotely from Talend Studio or Talend Administration Center. The conf/TalendJobServer.properties file contains various configuration parameters for your JobServer, such as port number, log level, security options, etc. To enable SSL for your JobServer, you need to set the sslparameter to true and provide the path and password of your keystore file that contains your SSL certificate.
You do not need to edit conf/TalendServer.properties, conf/server.xml, or jsl_static64.ini files. These files are not related to JobServer configuration or SSL settings. The conf/TalendServer.properties file is used to configure Talend Administration Center settings, such as database connection, LDAP authentication, email notification, etc. The conf/server.xml file is used to configure Tomcat server settings, such as connectors, realms, valves, etc. The jsl_static64.ini file is used to configure Java Service Launcher settings, such as service name, description, startup type, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Configuring Talend JobServer - 7.3], [Configuring Talend Administration Center - 7.3],
[Configuring Tomcat - 7.3], [Installing Java Service Launcher - 7.3]
NEW QUESTION # 21
You are collaborating on a project with other developers using talend best practices.
When should you use a tag?
- A. Denoting a milestone in the lifecycle of a project
- B. Fixing hugs or enhancements.
- C. Denoting major or minor releases.
- D. Capturing snapshot of a codebase that requires ongoing maintenance.
Answer: A
Explanation:
Tags are used to mark specific points in the development lifecycle of a project. This can be done for a variety of reasons, such as:
* To mark the completion of a major feature or release
* To mark the start of a new development phase (e.g., QA, production)
* To mark a known good state of the codebase (e.g., before a risky change) Tags can be used to create branches, which can then be used to develop and test new features or bug fixes.
They can also be used to deploy the codebase to different environments (e.g., development, staging, production).
Examples of when to use a tag:
* When you are ready to release a new version of your application to production.
* When you have completed a major feature or milestone in the development of your application.
* Before making a risky change to your codebase, such as a database migration or refactoring.
* When you need to deploy your application to a different environment, such as staging or production.
Benefits of using tags:
* Tags can help you to keep track of the different versions of your codebase.
* Tags can help you to roll back to a previous version of your codebase if necessary.
* Tags can help you to deploy your codebase to different environments.
* Tags can help you to collaborate with other developers more effectively.
NEW QUESTION # 22
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?
- A. Talend admission Center service must be running on each development workstation.
- B. Git or SVN client must be installed on each developed workstation.
- C. Talent Administration Center instance must be running with the team members and project configured.
- D. Git or SVN server instance must be running.
Answer: C,D
Explanation:
To set up a server in your Talend environment that enables several members of your team to collaborate on a project, you need to enable two applications before working ona remote project: Git or SVN server instance and Talend Administration Center instance. These applications are used to manage version control and collaboration for your project.
Git or SVN server instance is a server application that allows you to store and track changes of your project files using a version control system. Git and SVN are two popular version control systems that are supported by Talend Studio. You need to have a Git or SVN server instance running and accessible by your team members before working on a remote project. You also need to have a Git or SVN client installed on each development workstation to connect to the server and perform version control operations.
Talend Administration Center is a web-based application that allows you to manage users, projects, tasks, execution servers, and licenses for your Talend environment. You need to have a Talend Administration Center instance running and accessible by your team members before working on a remote project. You also need to configure the team members and project settings in Talend Administration Center to grant access and permissions for your project. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Version control - 7.3], [Talend Administration Center - 7.3]
NEW QUESTION # 23
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?
- A. All the available records
- B. 1,000
- C. 5,000
- D. 10,000
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, the platform is designed to handle large datasets efficiently by displaying a sample of the data to the user. By default, Talend Cloud Data Preparation can display up to 10,000 records from a dataset. This sampling approach ensures that users can interact with and analyze their data without performance issues that might arise from loading an entire large dataset into memory. Users have the option to view the first 10,000 records (Head sample) or 10,000 randomly selected records (Random sample) to get a representative understanding of the dataset's content.
NEW QUESTION # 24
You are building a complex Job and want to explore different options for optimizing execution times using parallelism.
How can you identify execution times to verify the effectiveness of your changes?
Choose 2 answers
- A. Heading the time stamps from the execution console in the Run view.
- B. Observing the execution times that annotate the flows in the Designer.
- C. Comparing time stamp in Trace Debug mode.
- D. Observing the execution time in the Code view.
Answer: A,B
Explanation:
To identify execution times to verify the effectiveness of your changes, you can use one of these methods:
* Reading the time stamps from the execution console in the Run view. This method allows you to see the start and end time of each subjob and component in your job, as well as the total execution time of the job. You can also see the number of rows processed by each component and the status of the job (success or failure).
* Observing the execution times that annotate the flows in the Designer. This method allows you to see the execution time of each flow (main, lookup, reject, etc.) between components in your job. You can also see the number of rows processed by each flow and the throughput (rows per second) of each flow.
You cannot use these methods to identify execution times:
* Observing the execution time in the Code view. This method does not show you the execution time of your job or its components, but only the generated code of your job in Java or Perl. The Code view is useful for debugging or customizing your code, but not for measuring performance.
* Comparing time stamps in Trace Debug mode. This method does not show you the execution time of your job or its components, but only the values of each column for each row processed by your job. The Trace Debug mode is useful for tracing data quality or transformation issues, but not for measuring performance. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend,
[Run view - 7.3], [Designer - 7.3], [Code view - 7.3], [Trace Debug mode - 7.3]
NEW QUESTION # 25
Which statement describes a Data Preparation recipe?
- A. Set of functions applied to a dataset
- B. Datasets created for external applications
- C. List of semantic types associated with a dataset
- D. Dataset designed specifically for export
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, areciperefers to a sequence of data transformation steps applied to a dataset. These steps can include actions like filtering, cleansing, enriching, and formatting data to prepare it for analysis or reporting. The recipe ensures that the same transformations can be consistently reapplied to the dataset or similar datasets, promoting data consistency and efficiency.
Why not other options?
* Option A:A recipe is not a dataset itself but a set of transformation instructions applied to a dataset.
* Option C:While semantic types are important, a recipe encompasses more than just listing them; it involves actionable transformations.
* Option D:Recipes are not datasets but are applied to datasets to achieve desired transformations.
NEW QUESTION # 26
Which methods can you use to name an output row in a tMap component? Choose 3 answers.
- A. Assign the name when connecting a new output component.
- B. Select the output row, then open the Component view and click the View tab.
- C. Double-click the output row in the Designer and enter a new name.
- D. Click the name of the table in the Map Editor window and edit it.
- E. Assign the name when defining a new output table in the Map Editor window.
Answer: A,D,E
Explanation:
In a tMap component, naming an output row correctly helps in managing data flow efficiently. The correct methods are:
* A. Click the name of the table in the Map Editor window and edit it.
* Open tMap, locate the output table, and click its name to edit it directly.
* B. Assign the name when defining a new output table in the Map Editor window.
* When adding a new output table, you can name it immediately in the Map Editor.
* D. Assign the name when connecting a new output component.
* When you connect an output component to tMap, you can assign a custom row name.
NEW QUESTION # 27
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?
- A. Talend admission Center service must be running on each development workstation.
- B. Git or SVN client must be installed on each developed workstation.
- C. Talent Administration Center instance must be running with the team members and project configured.
- D. Git or SVN server instance must be running.
Answer: C,D
NEW QUESTION # 28
What is the default port for the REST Endpoint when using tRESTRequest in Talend Studio?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
The defaultREST endpoint port for tRESTRequest in Talend Studio is 8090.
* Port 8090 (Correct Answer - Option D):
* When running a REST service insideTalend Studio, the default listening port is8090.
* This can be changed in the component settings if required.
* Other port options explained:
* 5040 & 5070: Not default ports used for Talend REST services.
* 8040: Used inTalend Runtime, not in Studio.
NEW QUESTION # 29
Which operations can you perform using a tMap component? Choose 3 answers.
- A. Transform data from single or multiple sources to single or multiple destinations.
- B. Reject data using inner join rejections.
- C. Perform full outer joins.
- D. Map data using filters, constraints, and simple explicit joins.
- E. Load single lookup tables only.
Answer: A,C,D
Explanation:
Comprehensive and Detailed Explanation:
The tMap component in Talend allows for various data transformation and mapping operations. The correct operations include:
* A. Map data using filters, constraints, and simple explicit joins.
* tMap allows mapping fields between sources and destinations with filters and constraints.
* B. Perform full outer joins.
* Unlike tJoin, tMap supports full outer joins, allowing all records from both tables to be included.
* C. Transform data from single or multiple sources to single or multiple destinations.
* You can map multiple input sources to multiple output targets with transformations.
NEW QUESTION # 30
You implemented a Job in Talend Studio and need to execute it in Talend Cloud. Which options can you use in Talend Management Console after publishing the Job to Talend Cloud? Choose 2 answers.
- A. Select the artifact name, add and configure a task, then run the task.
- B. Click the artifact name and then run the Job.
- C. Add a task and then run the task.
- D. Select the corresponding task, configure the task, and then run the task.
Answer: A,C
Explanation:
Comprehensive and Detailed Explanation:
After publishing a Job from Talend Studio to Talend Cloud, you can execute it using the Talend Management Console (TMC) by following these steps:
* Add a task and then run the task (Option A):
* In TMC, navigate to theManagementsection and selectTasks.
* Click onAdd Task, choose the published artifact (your Job), configure necessary parameters, and save the task.
* Once the task is created, you can run it manually or schedule it for execution.
* Select the artifact name, add and configure a task, then run the task (Option D):
* In TMC, go to theArtifactssection to view your published Jobs.
* Select the desired artifact and click onAdd Task.
* Configure the task settings as needed and save it.
* After creating the task, you can execute it immediately or set up a schedule.
Why not other options?
* Option B:TMC does not support directly running a Job by clicking on the artifact name without first creating a task.
* Option C:While you can select and configure an existing task, the initial step requires creating the task associated with the artifact.
NEW QUESTION # 31
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.
- A. Use of user ratings and certification
- B. Number of valid and invalid values across the dataset sample
- C. Number of empty rows across the dataset sample
- D. Use of semantic types across the dataset sample
Answer: B,D
Explanation:
Comprehensive and Detailed Explanation:
The validity of a dataset in Talend's Trust Score framework is determined by:
* Number of valid and invalid values across the dataset sample (Option B):
* This metric assesses the quality of the data by evaluating the proportion of valid entries compared to invalid ones. A higher number of valid values indicates better data quality.
* Use of semantic types across the dataset sample (Option C):
* Semantic types help in understanding the meaning and context of data fields. Consistent and correct application of semantic types ensures that data is interpreted accurately, contributing to its validity.
Why not other options?
* Option A: User ratings and certification pertain to the popularity axis, reflecting user trust and endorsement, not the intrinsic validity of the data.
* Option D: The number of empty rows relates to the completeness axis, indicating missing data, rather than directly affecting validity.
NEW QUESTION # 32
Which statements are true about the execution logs of a task running on a Remote Engine? Choose 2 answers.
- A. Logs are stored in Parquet format on the server where the Remote Engine is running.
- B. Logs are stored in an H2 database hosted on the server where the Remote Engine is running.
- C. Logs are stored in the file system of the server where the Remote Engine is running.
- D. Logs can be downloaded from Talend Management Console.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation:
When a task executes on a Talend Remote Engine, the execution logs are handled as follows:
* Logs are stored in the file system of the server where the Remote Engine is running (Option A):
* The Remote Engine writes execution logs to its local file system, typically in plain text or log formats. These logs provide detailed information about the task's execution and are essential for troubleshooting and monitoring.
* Logs can be downloaded from Talend Management Console (Option C):
* Talend Management Console (TMC) aggregates execution logs from Remote Engines, allowing users to access and download them directly through the TMC interface. This centralized access simplifies monitoring and debugging across multiple environments.
Why not other options?
* Option B:While some components of Talend may use H2 databases for internal purposes, execution logs are not typically stored in an H2 database on the Remote Engine server.
* Option D:Execution logs are generally stored in plain text or standard log formats, not in Parquet format. Parquet is a columnar storage file format commonly used for efficient data processing, not for logging purposes.
NEW QUESTION # 33
Which method allows you to execute the compiled Job Talend Studio?
- A. Select Save As on the main File menu
- B. Right-click the Job in the Repository and select Build Job
- C. Right-click the Job in the Repository and select Export items.
- D. Click the Export button in the Edit Properties window.
Answer: B
Explanation:
To execute the compiled job outside Talend Studio, you need to right-click on the job in the Repository tree view and select Build Job option. This 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 click the Export button in the Edit Properties window, right-click on the job in the Repository and select Export items, or select Save As on the main File menu. These options are not used to execute the compiled job outside Talend Studio. The Export button in the Edit Properties window is used to export your job properties as an XML file. The Export items option is used to export your items (such as jobs, metadata, routines, etc.) as an archive file that can be imported into another project or workspace. The Save As option is used to save a copy of your job with a different name or location. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]
NEW QUESTION # 34
......
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