[Jul-2025] Get 100% Real Free Talend Data Integration Talend-Core-Developer Sample Questions [Q16-Q37]

[Jul-2025] Get 100% Real Free Talend Data Integration Talend-Core-Developer Sample Questions

Accurate Talend-Core-Developer Questions with Free and Fast Updates

NEW QUESTION # 16
Which concepts are a part of Pipeline Designer? Choose 3 answers.

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

Answer: A,C,D

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 # 17
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers

• A. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.
• B. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
• C. Building a Joblet typically requires the use of generic input, and trigger component.
• D. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
• E. The performance of tRunJob component is better than running an equivalent Job using a Joblet.

Answer: B,C,D

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 can initialize your component endpoint, API mappings, and documentation from your API definition.
Which API definitions are supported by tRESTRequest?

• A. OAS/Swagger 2.0 file
• B. XML definition file
• C. WSDL file
• D. CSV definition file

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
ThetRESTRequest componentsupportsOpenAPI Specification (OAS)/Swagger 2.0for initializing component endpoints, API mappings, and documentation.
* OAS/Swagger 2.0 file (Correct Answer - Option D):
* tRESTRequest allows API-first development by importing aSwagger 2.0 (OAS) definition.
* This enables automatic configuration of API endpoints, request parameters, and response structures.
* Why not other options?
* CSV definition file (Option A):Not a valid API definition format.
* XML definition file (Option B):XML files are not standard for REST API definitions.
* WSDL file (Option C):WSDL is used for SOAP-based web services, not REST.

NEW QUESTION # 19
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. Talend admission Center service must be running on each development workstation.
• C. Git or SVN client must be installed on each developed workstation.
• D. Talent Administration Center instance must be running with the team members and project configured.

Answer: A,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 # 20
Which locations allow you to view a dataset in Talend Cloud Data Preparation? Choose 3 answers.

• A. Dataset sample
• B. Dataset overview
• C. Dataset patterns
• D. Dataset properties
• E. Data preparation overview

Answer: A,B,C

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, users can view and interact with datasets through various interfaces:
* Dataset overview (Option C):
* Provides a general summary of the dataset, including metadata, quality metrics, and other pertinent information.
* Dataset patterns (Option D):
* Displays recurring patterns within the dataset, helping users understand data distributions and identify anomalies.
* Dataset sample (Option E):
* Allows users to view a sample of the dataset's records, facilitating data exploration and preparation tasks.
Why not other options?
* Option A:"Data preparation overview" is not a standard feature or terminology within Talend Cloud Data Preparation.
* Option B:"Dataset properties" typically refers to metadata and configuration settings, not the data content itself.

NEW QUESTION # 21
Which component can be used to read a CSV file in an ESB Route?

• A. tFileInputDelimited
• B. cFileInputDelimited
• C. tMap
• D. cFile
• E. cMap

Answer: B

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 # 22
Which statement describes a Data Preparation recipe?

• A. Set of functions applied to a dataset
• B. List of semantic types associated with a dataset
• C. Datasets created for external applications
• 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 # 23
How can you create REST API metadata in Talend Studio? Choose 2 answers.

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

Answer: A,D

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 # 24
You are collaborating on a project with other developers using talend best practices.
When should you use a tag?

• A. Fixing hugs or enhancements.
• B. Denoting major or minor releases.
• C. Capturing snapshot of a codebase that requires ongoing maintenance.
• D. Denoting a milestone in the lifecycle of a project

Answer: D

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 # 25
Which characteristics distinguish Traces Debug from Java Debug?
Choose 2 answers

• A. Require Java development experiences
• B. Allow row-by-row inspection of data flows
• C. Supports breakpoints based on input data condition
• D. Requires a separate perspective

Answer: B,C

Explanation:
Trace Debug and Java Debug are two modes that allow you to debug your jobs in Talend Studio. Trace Debug mode allows you to trace each row processed by your job components and see the values of each column in each row. 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.
The characteristics that distinguish Trace Debug from Java Debug are:
* Trace Debug mode allows row-by-row inspection of data flows, while Java Debug mode does not. Data flows are the links that show 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. You can also use filters to display only the rows that match a condition or an expression. In Java Debug mode, you cannot see the data flow on each trace or inspect the values of each column for each row.
* Trace Debug mode supports breakpoints based on input data condition, while Java Debug mode does not. Breakpoints are points where the execution of your job pauses and waits for your action. You can use breakpoints to inspect your data or debug your logic at specific points of your job execution. In Trace Debug mode, 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. In Java Debug mode, you can only set breakpoints on lines of code based on a condition or an expression that involves variables or expressions.
The characteristics that do not distinguish Trace Debug from Java Debug are:
* Both modes require a separate perspective. A perspective is a set of views and editors that are arranged in a specific way to support a specific task. In Talend Studio, you can switch between different perspectives, such as Integration, Debug, Profiling, etc. To use Trace Debug mode, you need to switch to the Debug perspective by clicking on the Open Perspective button and selecting Debug. To use Java Debug mode, you need to switch to the Java perspective by clicking on the Open Perspective button and selecting Java.
* Neither mode requires Java development experience. Although Java Debug mode allows you to debug your job code in Java or Perl, you do not need to have Java development experience to use it. You can use the graphical interface of Talend Studio to design your job components and properties without writing any code. You can also use the Code view to see the generated code of your job in Java or Perl and modify it if needed. However, you do not need to write any code from scratch or understand all the details of the code to use Java Debug mode. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]

NEW QUESTION # 26
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 Built-in and set all the relevant properties manually.
• C. Set the Database field to Metadata.
• D. Set the Property type to Repository and replace the credentials in each component.

Answer: B

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 # 27
You are using a tRESTClient component to call a REST service. Which advanced option should you use to convert the response from the server to the document type?

• A. Convert Response To JSON Document
• B. Convert Response To DOM Document
• C. Convert Response To XML Document
• D. Convert Response To HTML Document

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
In Talend Studio, the tRESTClient component includes an advanced setting called"Convert Response To DOM Document". When this option is selected, the response from the REST service is converted into a DOM (Document Object Model) document. This allows for structured processing of the response data within Talend workflows.

NEW QUESTION # 28
What are the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility? Choose 3 answers.

• A. Cleanse data
• B. Transform
• C. Standardize data
• D. Format data
• E. Discover

Answer: A,B,C

Explanation:
Comprehensive and Detailed Explanation:
Talend Cloud Data Preparation enhances data quality and accessibility through:
* Cleanse data (Option C):
* Identifying and correcting inaccuracies or inconsistencies to ensure data integrity.
* Transform (Option D):
* Modifying data structures or values to meet specific requirements or formats.
* Standardize data (Option E):
* Ensuring uniformity in data presentation and format, facilitating consistency across datasets.
Why not other options?
* Option A: Discovery is typically associated with data profiling, not preparation.
* Option B: Formatting is a subset of transformation and standardization processes.

NEW QUESTION # 29
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. Java Function paramters
• B. Context parameters
• C. File
• D. CommandLine options

Answer: B

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 # 30
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. Add the component, then drag and drop a generic schema metadata item onto the component.
• C. Add the schema to the component using the Schema Editor.
• D. Drag a generic schema metadata item onto the Designer.
• E. Drag a File delimited metadata item from the Repository onto the design workspace.

Answer: A,B,E

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 # 31
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. Specify All for the Shell launcher option in the Build Job windows.
• B. Build one package for each platform.
• C. Select Build Job because Jobs are runnable on all platforms
• D. Configure the Job properties building the Job.

Answer: A

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 # 32
In Talend Studio, you have access to a references project named project_ref. You need to reuse a Job named testJob from the project_ref in your main Job.

• A. Navigate to Metadata, @ project ref, Job Designs, Standard, then select testJob.
• B. Navigate to @ Referenced project, @ project_ref, Job Designs, Standard, then select testJob.
• C. Right-click Job Designs and click import items.
• D. Right-click Job Designs, click Crete Standard Job, and enter testJob as the Job name.

Answer: B

Explanation:
To reuse a job named testJob from a referenced project named project_ref in your main job, you need to navigate to @Referenced project, @project_ref, Job Designs, Standard, then select testJob. A referenced project is a project that can be accessed from another project in read-only mode. You can add a referenced project to your main project by using the Project Settings window in Talend Studio. You can then browse the items (such as jobs, metadata, routines, etc.) of the referenced project in the Repository tree view under the
@Referenced project node. You can drag and drop any item from the referenced project to your main job design workspace.
You do not need to use import items, create standard job, or navigate to Metadata options. These options are not used to reuse jobs from referenced projects. The import items option is used to import items (such as jobs, metadata, routines, etc.) from an archive file that can be exported from another project or workspace. The create standard job option is used to create a new job with a name and a description. The Metadata node in the Repository tree view is used to store and manage metadata definitions for various data sources (such as databases, files, web services,etc.). References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Referenced projects - 7.3]

NEW QUESTION # 33
What is the generic Input component used for in a Joblet design?

• A. Triggering a subJob
• B. Triggering a Joblet
• C. Carrying data into a Joblet
• D. Carrying data into a subJob

Answer: C

Explanation:
The generic Input component used for in a Joblet design is the tJobletInput component. This component is used to carry data into a Joblet from another component in the job that contains the Joblet. A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. 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 output 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 tJobletInput component is not used for triggering a Joblet, triggering a subjob, or carrying data into a subjob. These are different concepts and functionalities in Talend Studio. A trigger is a link that activates a subjob or a component based on a condition or an event. A subjob is a part of a job that consists of one or more components connected by data flows or triggers. A subjob can be triggered by another subjob using triggers such as OnSubjobOk, OnSubjobError, Run if, etc. A subjob can also carry data into another subjob using data flows such as main, lookup, reject, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletInput properties - 7.3], [Joblets - 7.3], [Triggers - 7.3]

NEW QUESTION # 34
You created a Job to process a customer database. Next, you want to debug the Job using Traces Debug and pause the execution when it encounters any records for customers residing in the state of California.

• A. Right-click the trace on the output of the input component and select Add Breakpoint.
• B. Add a breakpoint in the Advanced Settings tab of the Run view.
• C. Right-click the trace on the output of the input component and select Show Breakpoint Setup.
• D. Open the Debug Run tab of the Run view and click Traces Debug.

Answer: C

Explanation:
To debug a job using Trace Debug mode and pause the execution when it encounters any records for customers residing in the state of California, you need to right-click on the trace on the output of the input component and select Show Breakpoint Setup option. 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. A trace is a link that shows the data flow between components in your job design workspace.
The Show Breakpoint Setup option allows you to set a breakpoint on a trace based on a condition or an expression. A breakpoint is a point where the execution of your job pauses and waits for your action. You can use breakpoints to inspect your data or debug your logic at specific points of your job execution. You can access this option by right-clicking on a trace on your job design workspace and selecting Show Breakpoint Setup. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
For example, if you want to pause your job execution when it encounters any records for customers residing in the state of California, you can enter this condition for your breakpoint:
row1.state == "CA"
This will make your job stop at the trace where this condition is met and show you the values of each column for that row.
You do not need to add a breakpoint in Advanced settings tab of Run view, open Debug Run tab of Run view and click Trace Debug button, or right-click on trace on output of input component and select Add Breakpoint option. These options are not used to set breakpoints based on conditions or expressions. The Advanced settings tab of Run viewis used to configure advanced settings for your job execution, such as JVM arguments, statistics parameters, implicit context load parameters, etc. The Debug Run tab of Run view is used to access Trace Debug mode, but not to set breakpoints. The Add Breakpoint option is used to add a simple breakpoint on a trace without any condition or expression. References: Talend Open Studio: Open- source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Breakpoints - 7.3]

NEW QUESTION # 35
Which statements describe the Talend Cloud Data Inventory Trust Score? Choose 2 answers.

• A. Aggregates several metrics into a single score.
• B. Helps data consumers assign a score representing the quality of the dataset.
• C. Scales the Trust Score from 0 to 10.
• D. Scales the Trust Score from 0 to 5.

Answer: A,D

Explanation:
Comprehensive and Detailed Explanation:
The Talend Trust Score is a feature of Talend Cloud Data Inventory that provides an assessment of a dataset's reliability and quality:
* Aggregates several metrics into a single score (Option A):
* The Trust Score combines multiple factors, including validity, completeness, popularity, discoverability, and usage, into a single, comprehensive score. This aggregation helps users quickly gauge the overall trustworthiness of a dataset.
* Scales the Trust Score from 0 to 5 (Option C):
* The Trust Score ranges from 0 to 5, with higher scores indicating better data quality and reliability. This standardized scale allows for easy comparison between datasets.
Why not other options?
* Option B:While data consumers can view and utilize the Trust Score, it is automatically calculated by Talend based on specific metrics; users do not assign this score themselves.
* Option D:The Trust Score does not use a 0 to 10 scale; it specifically ranges from 0 to 5.

NEW QUESTION # 36
Which methods can you use to name an output row in a tMap component? Choose 3 answers.

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

Answer: A,B,D

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 # 37
......

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