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[Hardware] 100% Pass 2026 Talend Talend-Core-Developer: Talend Core Certified Developer Exa

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【Hardware】 100% Pass 2026 Talend Talend-Core-Developer: Talend Core Certified Developer Exa

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Talend Core Certified Developer Exam Sample Questions (Q14-Q19):NEW QUESTION # 14
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. Configure the Job properties building the Job.
  • B. Select Build Job because Jobs are runnable on all platforms
  • C. Build one package for each platform.
  • 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 # 15
User A shared a connection with User B. User B used the shared connection and created Dataset_1. User A stops sharing the connection with User B. Which statement is true about access to Dataset_1?
  • A. User B has limited access to Dataset_1.
  • B. User B has no access to Dataset_1.
  • C. User B has full access to Dataset_1.
  • D. User A has full access to Dataset_1.
Answer: C
Explanation:
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.

NEW QUESTION # 16
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. Heading the time stamps from the execution console in the Run view.
  • C. Observing the execution time in the Code view.
  • D. Observing the execution times that annotate the flows in the Designer.
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 # 17
In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes. What is the significance of thisprompt?
  • A. Confirm that you want to apply the schema changes to the next component in the Job.
  • B. Confirm that you want to apply the schema changes to the selected component.
  • C. Confirm that you want to apply the schema changes to both the previous and next components in the Job.
  • D. Confirm that you want to apply the schema changes to the previous component in the Job.
Answer: A
Explanation:
When you modify the schema of a component in Talend Studio, the application prompts you to propagate these changes. This propagation ensures that any alterations to the data structure are consistently applied throughout the Job, maintaining data integrity and coherence.
Understanding Schema Propagation:
* Purpose:Schema propagation is essential to synchronize the data structure across connected components. When a schema changes (e.g., adding or removing a column), downstream components that rely on this schema need to be updated to reflect these changes.
* Prompt Significance:The prompt serves as a confirmation to apply the schema changes to the subsequent components in the Job. By agreeing to propagate, Talend Studio automatically updates the schemas of all downstream components connected to the modified component.
Example Scenario:
Consider a Job where a tFileInputDelimited component reads data and passes it to a tMap component, which then outputs to a tFileOutputDelimited component. If you add a new column to the schema of tFileInputDelimited:
* Modification:
* You add a new column, 'emailAddress', to the tFileInputDelimited schema.
* Propagation Prompt:
* Upon making this change, Talend Studio prompts you to propagate the schema changes.
* Effect of Propagation:
* By confirming, the 'emailAddress' column is added to the schemas of all downstream components (e.g., tMap and tFileOutputDelimited). This ensures that these components recognize and can process the new column appropriately.
By understanding and utilizing schema propagation, you ensure that all components within your Talend Jobs remain synchronized, reducing errors and enhancing data processing efficiency.

NEW QUESTION # 18
What is the default port for the REST Endpoint when using tRESTRequest in Talend Studio?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Answer: D
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 # 19
......
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