
[Oct-2025] Verified Talend Talend-Core-Developer Bundle Real Exam Dumps PDF
Talend-Core-Developer Dumps PDF New [2025] Ultimate Study Guide
NEW QUESTION # 19
Which statement describes a Data Preparation recipe?
- A. Datasets created for external applications
- B. List of semantic types associated with a dataset
- C. Set of functions applied to a dataset
- D. Dataset designed specifically for export
Answer: C
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 # 20
Which concepts are a part of Pipeline Designer? Choose 3 answers.
- A. Dataset
- B. Processor
- C. Preparations
- D. Connection
- E. Context variables
Answer: A,B,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 # 21
Which capabilities does Traces Debug provide?
Choose 2 answers
- A. Breaking when an input column fulfills a condition
- B. Breaking on a selected line of code
- C. Filtering which data is propagated by a flow
- D. Advancing one column at a time
- 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 # 22
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?
- A. All the available records
- B. 1,000
- C. 10,000
- D. 5,000
Answer: C
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 # 23
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. Observing the execution time in the Code view.
- D. Heading the time stamps from the execution console in the Run view.
Answer: B,D
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 # 24
Which Action on table operations are supported by a tMysqlOutput component? Choose 3 answers.
- A. Create table
- B. Create table if does not exist
- C. Drop table if exists and create
- D. Replace
- E. Drop table
Answer: A,B,C
Explanation:
Comprehensive and Detailed Explanation:
The tMysqlOutput component in Talend provides several actions on tables to manage data output operations effectively. The supported actions include:
* Drop Table if Exists and Create (Option B):
* This action checks if the specified table exists in the database. If it does, the table is dropped and a new one is created. This ensures that the table is recreated fresh for the data load.
* Create Table if Does Not Exist (Option D):
* This action checks if the specified table exists in the database. If it does not exist, the table is created. If it already exists, no action is taken, and the existing table is used.
* Create Table (Option E):
* This action attempts to create the specified table in the database. If the table already exists, an error will occur unless handled appropriately.
These actions provide flexibility in managing database tables during data integration processes, allowing for dynamic table creation and management based on the Job's requirements.
NEW QUESTION # 25
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?
- A. Extract the content of the archive and run the batch file or the shell script.
- B. Extract the contents of the archive and run the batch file and shell script.
- C. Extract the files from the archive and run the JAR file.
- D. Install the Job and start the resulting service.
Answer: A
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 # 26
You have two branches: Branch1 contains Job1, and Branch 2 contains Job 2. You want to copy Job1 to Branch 2 and preserve the change history when connecting Studio to Talend Administrator Center.
Which method should you use to preserve the change history?
- A. Switch to Branch 1, copy the Branch 1 job, switch to Branch 2, and paste the job into Branch 2.
- B. Switch to branch 1, copy the Branch 1 Job, switch to Branch 2, and paste the Job into Branch 2.
- C. Switch to Branch 1, right-click Job 1, select Copy to branch, and select Branch 2.
- D. Switch to Branch 1, copy lob 1, switch to Branch 2, and paste Job 1 over Job 2.
Answer: C
Explanation:
To copy Job1 from Branch1 to Branch2 and preserve the change history when connecting Studio to Talend Administration Center, you need to use the Copy to branch option. This option allows you to copy a job or a folder from one branch to another branch in the same project without losing the version history. You can access this option by switching to Branch1, right-clicking on Job1 in the Repository tree view, and selecting Copy to branch. This will open a dialog box where you can select Branch2 as the target branch and confirm the copy operation.
You do not need to use the import items, create standard job, or paste over options. These options are not used to copy jobs between branches and preserve the change history. 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 paste over option is used to overwrite an existing job with another job that has been copied or cut from the same or another project. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Copy to branch - 7.3]
NEW QUESTION # 27
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. Context parameters
- C. Java Function paramters
- D. File
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 # 28
Which options can you use to add a Joblet to your talend Job?
Choose 3 answers
- A. Drag the Joblet from Palette to the design workspace.
- B. Type the Joblet name on the Studio canvas, then select if from the Palette drop-down menu.
- C. Drag the Jobket from the Repository tree view to designer canvas.
- D. Right-click the Joblet from Palette and select the Add option.
- E. Use a tRunJob component and select the Joblet from the drop-down menu.
Answer: A,B,C
Explanation:
To add a Joblet to your Talend Job, you can use one of these options:
* Type the Joblet name on the Studio canvas, then select it from the Palette drop-down menu. This will create a Joblet container on your canvas that contains all the components and links of your Joblet.
* Drag the Joblet from Repository tree view to designer canvas. This will also create a Joblet container on your canvas that contains all components and links of your Joblet.
* Drag Joblet from Palette to design workspace. This will open a dialog box where you can select an existing Joblet from Repository or create a new one.
You cannot use a tRunJob component and select Joblet from drop-down menu, nor right-click Joblet from Palette and select Add option. These methods are not available in Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend,
[Joblets - 7.3]
NEW QUESTION # 29
You can initialize your component endpoint, API mappings, and documentation from your API definition.
Which API definitions are supported by tRESTRequest?
- A. XML definition file
- B. WSDL file
- C. CSV definition file
- D. OAS/Swagger 2.0 file
Answer: D
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 # 30
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 desired context selected in the Build Job windows. Build a separate copy if you need to run the Job in a different 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. Build the Job with the Context scripts option selected in the Build Job windows. You will be prompted for the context.
- D. Set the desired context as the default, then build the Job. Rebuild the Job if you need to run it in a different context.
Answer: A
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 # 31
You need to share a connection between multiple database components in a Studio Job. Which component should you use?
- A. tDBOutput
- B. tDBConnection
- C. tDBRun
- D. tDBCommit
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
In Talend, when multiple components need to share the same database connection, thetDBConnection component is used.
* tDBConnection (Correct Answer - Option D):
* This component establishes a database connection that can bereused by multiple database components(such as tDBInput, tDBOutput, and tDBRow) within the same Job.
* Reduces redundant connection creation,improving performance and efficiency.
* To use it, other database components must set"Use an existing connection"in their configuration.
* Why not other options?
* tDBOutput (Option A):Used for writing data to a database but does not manage shared connections.
* tDBRun (Option B):Used to execute a subJob but does not handle database connections.
* tDBCommit (Option C):Used for committing transactions, but it requires a shared connection (which tDBConnection provides).
NEW QUESTION # 32
What is the generic Input component used for in a Joblet design?
- A. Carrying data into a subJob
- B. Triggering a Joblet
- C. Carrying data into a Joblet
- D. Triggering 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 # 33
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.
- A. Use of user ratings and certification
- B. Use of semantic types across the dataset sample
- C. Number of valid and invalid values across the dataset sample
- D. Number of empty rows across the dataset sample
Answer: B,C
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 # 34
You are collaborating on a project with other developers using talend best practices.
When should you use a tag?
- A. Capturing snapshot of a codebase that requires ongoing maintenance.
- B. Denoting major or minor releases.
- C. Fixing hugs or enhancements.
- 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 # 35
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 client must be installed on each developed workstation.
- B. Talent Administration Center instance must be running with the team members and project configured.
- C. Git or SVN server instance must be running.
- D. Talend admission Center service must be running on each development workstation.
Answer: B,C
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 # 36
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 HTML Document
- B. Convert Response To JSON Document
- C. Convert Response To DOM Document
- D. Convert Response To XML Document
Answer: C
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 # 37
How can you create REST API metadata in Talend Studio? Choose 2 answers.
- A. Create it manually in Talend Studio.
- B. Import it from a JSON file.
- C. Import it from Talend API Tester.
- 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 # 38
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 @ Referenced project, @ project_ref, Job Designs, Standard, then select testJob.
- B. Right-click Job Designs and click import items.
- C. Navigate to Metadata, @ project ref, Job Designs, Standard, then select testJob.
- D. Right-click Job Designs, click Crete Standard Job, and enter testJob as the Job name.
Answer: A
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 # 39
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 replace the credentials in each component.
- B. Set the Property type to Repository and use a common DB connection metadata.
- C. Set the Database field to Metadata.
- 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 # 40
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. Add a task and then run the task.
- B. Select the corresponding task, configure the task, and then run the task.
- C. Click the artifact name and then run the Job.
- D. Select the artifact name, add and configure a task, then run the task.
Answer: A,D
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 # 41
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