LATEST TEST TALEND-CORE-DEVELOPER EXPERIENCE, RELIABLE TALEND-CORE-DEVELOPER PRACTICE MATERIALS

Latest Test Talend-Core-Developer Experience, Reliable Talend-Core-Developer Practice Materials

Latest Test Talend-Core-Developer Experience, Reliable Talend-Core-Developer Practice Materials

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Talend Core Certified Developer Exam Sample Questions (Q27-Q32):

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

  • A. Allow row-by-row inspection of data flows
  • B. Requires a separate perspective
  • C. Require Java development experiences
  • 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
Which actions can you perform in the configuration panel in Pipeline Designer? Choose 2 answers.

  • A. Preview changes made by processors.
  • B. Select the settings for a pipeline export.
  • C. Display and update dataset connections.
  • D. Modify processor values.

Answer: C,D

Explanation:
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.


NEW QUESTION # 29
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. Observing the execution times that annotate the flows in the Designer.
  • C. Heading the time stamps from the execution console in the Run view.
  • D. Comparing time stamp in Trace Debug mode.

Answer: B,C

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 # 30
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. Fixing hugs or enhancements.
  • C. Denoting a milestone in the lifecycle of a project
  • D. Denoting major or minor releases.

Answer: C

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 # 31
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?

  • A. Extract the files from the archive and run the JAR file.
  • B. Extract the content of the archive and run the batch file or the shell script.
  • C. Install the Job and start the resulting service.
  • D. Extract the contents of the archive and run the batch file and shell script.

Answer: B

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 # 32
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