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Pass Guaranteed 2026 Talend Perfect Talend-Core-Developer: Exam Talend Core Certified Developer Exam Review

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Talend Core Certified Developer Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
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 # 24
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. Observing the execution time in the Code view.
B. Comparing time stamp in Trace Debug mode.
C. Observing the execution times that annotate the flows in the Designer.
D. Heading the time stamps from the execution console in the Run view.

Answer: C,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 # 25
After enabling the Observability Metric Collector metric generation located in the etcorg.talend.ipaas.rt.
observability.cfg, which additional configurations should you apply? Choose 2 answers.

A. Lifetime
B. Frequency
C. Schedule the metrics generation using CRON based trigger
D. Configure the time zone

Answer: A,B

Explanation:
Comprehensive and Detailed Explanation:
After enabling the Observability Metric Collector in Talend's configuration file (org.talend.ipaas.rt.
observability.cfg), it's essential to set additional parameters to control the behavior of metric collection:
* Frequency (Option C):Determines how often metrics are collected. Setting this ensures that data is gathered at appropriate intervals for monitoring needs.
* Lifetime (Option D):Specifies how long the collected metrics are retained. This helps manage storage and ensures that outdated metrics are purged.
Configuring these parameters ensures that the metric collection aligns with organizational requirements for monitoring and performance analysis.

NEW QUESTION # 26
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 DOM Document
B. Convert Response To XML Document
C. Convert Response To HTML Document
D. Convert Response To JSON Document

Answer: A

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 # 27
Which characteristics distinguish Traces Debug from Java Debug?
Choose 2 answers

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

Answer: A,D

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 # 28
......

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Zachary Hall Zachary Hall

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