Maximum Grades By Making ready With Talend-Core-Developer Dumps UPDATED 2026 [Q25-Q47]

Maximum Grades By Making ready With Talend-Core-Developer Dumps UPDATED 2026

Prepare Talend-Core-Developer Exam Questions [2026] Recently Updated Questions

NEW QUESTION # 25
You need to call a different Job within a Job you are developing.
Which mechanism allows you to pass the parameters to the lob you want to call?

• A. CommandLine options
• B. Java Function paramters
• C. File
• D. Context parameters

Answer: D

Explanation:
To call a different job within a job you are developing, you can use the tRunJob component. This component allows you to execute another job as a subjob within a parent job. To pass the parameters to the job you want to call, you can use the context parameters. Context parameters are variables that can store values that can be changed at runtime or between different contexts. You can define context parameters in the Contexts tab of your job and assign them values for each context. You can also pass context parameters from the parent job to the child job by using the Context Param tab of the tRunJob component. This way, you can parameterize the properties or expressions of the child job with the values from the parent job.
You do not need to use a file, command line options, or Java function parameters to pass parameters to a different job. These methods are not supported by Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tRunJob properties - 7.3], [Contexts - 7.3]

NEW QUESTION # 26
You designing a Job that can run in two contexts, Test and Production. You want to run it as a standalone job outside Talend Studio.
How do you accomplish this?

• A. Build the Job with the Context scripts option selected in the Build Job windows. You will be prompted for the context.
• B. Build the Job with the Context scripts option selected in the Build Job windows. Before running the Job, edit the script according to the context in which want to run the job.
• C. Set the desired context as the default, then build the Job. Rebuild the Job if you need to run it in a different context.
• D. Build the Job with the desired context selected in the Build Job windows. Build a separate copy if you need to run the Job in a different context.

Answer: D

Explanation:
To design a job that can run in two contexts, Test and Production, and run it as a standalone job outside Talend Studio, you need to do the following steps:
* Define the context variables and values for each context in the Contexts tab of your job. A context variable is a variable that can store a value that can be changed at runtime or between different contexts.
You can use context variables to parameterize the properties or expressions of your job components.
* Build the job with the desired context selected in the Build Job window. 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 need to select the context that you want to use for your job execution from the drop-down menu.
* Extract the content of the archive file that contains your job executable files and libraries. 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.
* If you need to run the job in a different context, you need to build a separate copy of the job with the other context selected in the Build Job window. You cannot change the context of an already built job without rebuilding it.
You do not need to build the job with the Context scripts option selected in the Build Job window, edit the script according to the context in which you want to run the job, set the desired context as the default, rebuild the job if you need to run it in a different context, or be prompted for the context. 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], [Contexts - 7.3]

NEW QUESTION # 27
Which concepts are a part of Pipeline Designer? Choose 3 answers.

• A. Context variables
• B. Preparations
• C. Processor
• D. Connection
• E. Dataset

Answer: C,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 # 28
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. Add a task and then run the task.
• C. Click the artifact name and then run the Job.
• D. Select the corresponding task, configure the task, and then run the task.

Answer: A,B

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 # 29
What is the default port for the REST Endpoint when using tRESTRequest in Talend Studio?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: B

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 # 30
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. Git or SVN server instance must be running.
• B. Talent Administration Center instance must be running with the team members and project configured.
• C. Talend admission Center service must be running on each development workstation.
• D. Git or SVN client must be installed on each developed workstation.

Answer: A,B

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 # 31
After enabling the Observability Metric Collector metric generation located in the \etc\org.talend.ipaas.rt.
observability.cfg, which additional configurations should you apply? Choose 2 answers.

• A. Schedule the metrics generation using CRON based trigger
• B. Frequency
• C. Lifetime
• D. Configure the time zone

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
After enabling the Observability Metric Collector in Talend's configuration file (org.talend.ipaas.rt.
observability.cfg), it's essential to set additional parameters to control the behavior of metric collection:
* Frequency (Option C):Determines how often metrics are collected. Setting this ensures that data is gathered at appropriate intervals for monitoring needs.
* Lifetime (Option D):Specifies how long the collected metrics are retained. This helps manage storage and ensures that outdated metrics are purged.
Configuring these parameters ensures that the metric collection aligns with organizational requirements for monitoring and performance analysis.

NEW QUESTION # 32
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 Database field to Metadata.
• B. Set the Property type to Repository and use a common DB connection metadata.
• C. Set the Property type to Repository and replace the credentials in each component.
• D. Set the Property type to Built-in and set all the relevant properties manually.

Answer: D

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 # 33
How can you create REST API metadata in Talend Studio? Choose 2 answers.

• A. Import it from Talend API Tester.
• B. Import it from Talend API Designer.
• C. Create it manually in Talend Studio.
• D. Import it from a JSON file.

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
In Talend Studio, REST API metadata can be created using the following methods:
* Create it manually in Talend Studio (Option A):
* Users can define REST API metadata within Talend Studio by manually specifying API structure, endpoints, HTTP methods, and parameters.
* This method provides full control over the API metadata but requires manual configuration.
* Import it from Talend API Designer (Option B):
* If an API has been designed usingTalend API Designer, it can beimported into Talend Studio.
* This enables reusing the API design directly without manual recreation.
Why not other options?
* Option C (Import from JSON file): Talend Studio does not support direct import of REST API metadata from generic JSON files.
* Option D (Import from Talend API Tester): Talend API Tester is used for testing APIs but does not provide an option to import API definitions into Talend Studio.

NEW QUESTION # 34
Which statement describes a Data Preparation recipe?

• A. List of semantic types associated with a dataset
• B. Set of functions applied to a dataset
• C. Datasets created for external applications
• D. Dataset designed specifically for export

Answer: B

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 # 35
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?

• A. Install the Job and start the resulting service.
• B. Extract the files from the archive and run the JAR file.
• C. Extract the content of the archive and run the batch file or the shell script.
• D. Extract the contents of the archive and run the batch file and shell script.

Answer: C

Explanation:
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]

NEW QUESTION # 36
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. Comparing time stamp in Trace Debug mode.
• B. Observing the execution times that annotate the flows in the Designer.
• C. Heading the time stamps from the execution console in the Run view.
• D. Observing the execution time in the Code view.

Answer: B,C

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 # 37
Which method allows you to execute the compiled Job Talend Studio?

• A. Right-click the Job in the Repository and select Export items.
• B. Click the Export button in the Edit Properties window.
• C. Right-click the Job in the Repository and select Build Job
• D. Select Save As on the main File menu

Answer: C

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 # 38
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. Git or SVN server instance must be running.
• B. Talent Administration Center instance must be running with the team members and project configured.
• C. Talend admission Center service must be running on each development workstation.
• D. Git or SVN client must be installed on each developed workstation.

Answer: A,B

NEW QUESTION # 39
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. Capturing snapshot of a codebase that requires ongoing maintenance.
• D. Denoting major or minor releases.

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 # 40
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 nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
• C. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
• D. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
• E. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.

Answer: A,B,C

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 # 41
Which methods can you use to specify the schema in a tFileInputDelimited component? Choose 3 answers.

• A. Add the component, open the Component view, select the Built-in schema type, then click the Edit schema button.
• B. Drag a File delimited metadata item from the Repository onto the design workspace.
• C. Add the schema to the component using the Schema Editor.
• D. Add the component, then drag and drop a generic schema metadata item onto the component.
• E. Drag a generic schema metadata item onto the Designer.

Answer: A,B,D

Explanation:
In Talend Studio, there are multiple methods to specify the schema for a tFileInputDelimited component. The three primary approaches include:
A: Add the component, open the Component view, select the Built-in schema type, then click the Edit schema button.
* Process:
* Add the Component:
* Drag and drop the tFileInputDelimited component onto the design workspace.
* Access Component View:
* Click on the component to open its Basic settings in the Component view.
* Select Built-in Schema Type:
* Under the 'Schema' section, choose 'Built-In' from the 'Property Type' dropdown menu.
* Edit Schema:
* Click the 'Edit schema' button to define the schema structure by adding columns and specifying their data types.

NEW QUESTION # 42
Which actions can you perform in the configuration panel in Pipeline Designer? Choose 2 answers.

• A. Modify processor values.
• B. Preview changes made by processors.
• C. Select the settings for a pipeline export.
• D. Display and update dataset connections.

Answer: A,D

Explanation:
Comprehensive and Detailed Explanation:
In Talend Pipeline Designer, theconfiguration panelprovides options for managing and modifying the settings of components within a pipeline.
* Modify processor values (Option A):
* Users can adjust values for processors such as filters, joins, transformations, and aggregations within the configuration panel.
* This helps fine-tune data processing rules directly in the pipeline.
* Display and update dataset connections (Option B):
* The configuration panel allows users to change dataset connections, updating the source or target locations of data.
* Users can modify database credentials, file paths, or API endpoints as needed.
Why not other options?
* Option C:The ability to preview changes made by processors is handled in thepreview panel, not the configuration panel.
* Option D:Pipeline export settings are managed separately in theexport settings menu, not in the configuration panel.

NEW QUESTION # 43
Which type of task can be added to a plan in Talend Management Console?

• A. Routes
• B. Data services
• C. Big Data tasks
• D. Jobs

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In Talend Management Console (TMC), aplanis a sequence of tasks executed in a defined order. The types of tasks that can be added to a plan include:
* Jobs (Option D):Standard data integration tasks designed in Talend Studio.
* Big Data tasks (Option B):Tasks involving big data processing.
* Routes (Option C):Tasks related to messaging routes.
However,Data services (Option A)refer to web services and are not typically added as tasks within a plan.

NEW QUESTION # 44
You create a Job consisting of two subJobs, A and B. You added Joblet C with the intension of running it between A and B.
What are the minimum requirements to orchestrate this? (Choose Two)

• A. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into B.
• B. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into A.
• C. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into C
• D. Link A, B and C using On Subject Ok triggers.

Answer: C,D

Explanation:
To create a job consisting of two subjobs, A and B, and add a Joblet C with the intention of running it between A and B, you need to do the following steps:
* Design subjob A by adding components and links to it in the Designer workspace.
* Add a Start component to mark the beginning of subjob B and link it to subjob A using an OnSubjobOk trigger.
* Design subjob B by adding components and links to it after the Start component in the Designer workspace.
* Add a tJobletTriggerInput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Add a tJobletTriggerOutput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Drag your Joblet C from the Repository tree view to the Designer workspace between subjob A and subjob B.
* Link your Joblet C to subjob A using an OnComponentOk trigger from the last component of subjob A to the tJobletTriggerInput component of your Joblet C.
* Link your Joblet C to subjob B using an OnComponentOk trigger from the tJobletTriggerOutput component of your Joblet C to the Start component of subjob B.
The minimum requirements to orchestrate this are adding TRIGGER_INPUT and TRIGGER_OUTPUT components into C and linking A, B, and C using OnSubjobOk triggers. These are generic components that allow you to define triggers for your Joblet without depending on specific components. You do not need to add TRIGGER_INPUT and TRIGGER_OUTPUT components into A or B, as these are regular subjobs that can use any type of components or triggers. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletTriggerInput properties - 7.3], [tJobletTriggerOutput properties - 7.3],
[Joblets - 7.3], [Triggers - 7.3]

NEW QUESTION # 45
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. Select Build Job because Jobs are runnable on all platforms
• B. Build one package for each platform.
• C. Configure the Job properties building the Job.
• D. Specify All for the Shell launcher option in the Build Job windows.

Answer: D

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 # 46
Which methods can you use to name an output row in a tMap component? Choose 3 answers.

• A. Click the name of the table in the Map Editor window and edit it.
• B. Assign the name when defining a new output table in the Map Editor window.
• C. Select the output row, then open the Component view and click the View tab.
• D. Double-click the output row in the Designer and enter a new name.
• E. Assign the name when connecting a new output component.

Answer: A,B,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 # 47
......

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