Talend-Core-Developer Talend Core Certified Developer Exam Free Practice Exam Questions (2025 Updated)

Comprehensive and Detailed Explanation:

In Talend, when multiple components need to share the same database connection, thetDBConnectioncomponent 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).

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]

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.​

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.

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:

To filter customer records based onfirst name containing "Tom"andage greater than 18, theFilterprocessor is the correct choice.

Filter (Option C) – Correct Answer:

TheFilter processorallows users to setconditional rulesto extract only the required data.

Users can specify conditions such as:

first_name CONTAINS "Tom"

AND

age > 18

This ensures that only relevant records are included in the output.

Why not other options?

Option A (Join):Used to combine data from multiple datasets based on a key field, not for filtering.

Option B (Aggregate):Used for summarizing data, such as calculating counts, sums, or averages.

Option D (Data Sampling):Used to select a random subset of data, not for filtering based on conditions.

Comprehensive and Detailed Explanation:

The tMap component in Talend allows for various data transformation and mapping operations. The correct operations include:

A. Map data using filters, constraints, and simple explicit joins.

tMap allows mapping fields between sources and destinations with filters and constraints.

B. Perform full outer joins.

Unlike tJoin, tMap supports full outer joins, allowing all records from both tables to be included.

C. Transform data from single or multiple sources to single or multiple destinations.

You can map multiple input sources to multiple output targets with transformations.

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]

Comprehensive and Detailed Explanation:

To filter records based on a specific country dynamically, the best approach isusing a tDBInput component with a context variable in the SQL query (Option A).

Step-by-Step Process:

Define a Context Variable:

In theContext Variablessection of Talend Studio, create a new variable (context.country) and set its value dynamically.

Configure tDBInput:

Drag and drop the tDBInput component onto theDesigner.

Set up thedatabase connectionusing either Built-in or Repository mode.

In theQuery field, write:

SELECT id, name, address, country FROM customers WHERE country = '" + context.country + "'

Execute the Job:

The Job will retrieveonly those records where the country column matches the value of the context variable.

The value of context.country can be modified at runtime, making the querydynamic.

Why not other options?

tMatchGroup (Option B):Used for record deduplication, not filtering.

Run if Trigger (Option C):Controls execution flow but does not filter records inside tDBInput.

tFilterColumns (Option D):Removes unwanted columns but does not filter records based on conditions.

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.

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:

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.​

Comprehensive and Detailed Explanation:

To calculate the overall Trust Score™ for multiple customer datasets:​

Use the search bar to filter the customer datasets, and the score will automatically update (Option B):

Filtering datasets using the search functionality aggregates the Trust Scores of the selected datasets, providing an overall score for the group.​

Why not other options?

Option A: Reviewing individual ratings does not provide an aggregated Trust Score™.​

Option C: Marking datasets does not trigger an automatic update of the aggregated score.​

Option D: Manual calculation is unnecessary as the system provides automatic aggregation upon filtering.​

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]

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.