Talend-Core-Developer Talend Core Certified Developer Exam Question and Answers

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]

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]

To create a Joblet from an existing Job, you can follow these steps:

Open the Job that you want to create a Joblet from.

Select the components that you want to include in the Joblet.

Right-click on the selected components and select Create Joblet from the context menu.

In the Create Joblet dialog box, enter a name and description for the Joblet.

Click Finish to create the Joblet.

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.

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.

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.​

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.

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]

Comprehensive and Detailed Explanation:

In Talend Cloud Data Inventory, when a user creates a dataset using a shared connection, the following applies:​

User B has full access to Dataset_1 (Option D):

Once User B creates Dataset_1 using the shared connection, they become the owner of that dataset. Even if User A later revokes access to the connection, User B retains full access to Dataset_1. The dataset's accessibility is independent of the connection's sharing status after its creation.​

Why not other options?

Option A:User B's access to Dataset_1 is not limited; they have full ownership and control.​

Option B:Revoking the connection does not remove User B's access to datasets they have already created.​

Option C:User A's access to Dataset_1 depends on the sharing settings applied by User B; by default, User A does not have access unless granted.​

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.​

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.​

Comprehensive and Detailed Explanation:

In Talend's Enterprise Service Bus (ESB) routes, the appropriate component to read a CSV file iscFileInputDelimited. This component is specifically designed for Camel routes to handle delimited files like CSVs.​

Comprehensive and Detailed Explanation:

When a task executes on a Talend Remote Engine, the execution logs are handled as follows:​

Logs are stored in the file system of the server where the Remote Engine is running (Option A):

The Remote Engine writes execution logs to its local file system, typically in plain text or log formats. These logs provide detailed information about the task's execution and are essential for troubleshooting and monitoring.​

Logs can be downloaded from Talend Management Console (Option C):

Talend Management Console (TMC) aggregates execution logs from Remote Engines, allowing users to access and download them directly through the TMC interface. This centralized access simplifies monitoring and debugging across multiple environments.​

Why not other options?

Option B:While some components of Talend may use H2 databases for internal purposes, execution logs are not typically stored in an H2 database on the Remote Engine server.​

Option D:Execution logs are generally stored in plain text or standard log formats, not in Parquet format. Parquet is a columnar storage file format commonly used for efficient data processing, not for logging purposes.​