TALEND RELIABLE TALEND-CORE-DEVELOPER RELIABLE REAL TEST–PASS TALEND-CORE-DEVELOPER FIRST ATTEMPT

Talend Reliable Talend-Core-Developer Reliable Real Test–Pass Talend-Core-Developer First Attempt

Talend Reliable Talend-Core-Developer Reliable Real Test–Pass Talend-Core-Developer First Attempt

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Talend Core Certified Developer Exam Sample Questions (Q28-Q33):

NEW QUESTION # 28
You have a MySQL table named customers with columns named id, name, address, and country. You need to retrieve records that have a specific country based on a variable. Which steps should you use to achieve this?

  • A. Use a tDBInput component and link it to a tFilterColumns component.
  • B. Use a tDBInput component with a Run if trigger.
  • C. Use a tDBInput component with a context variable in the SQL query.
  • D. Use a tDBInput component and link it to a tMatchGroup component.

Answer: C

Explanation:
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.


NEW QUESTION # 29
What is the generic Input component used for in a Joblet design?

  • A. Triggering a subJob
  • B. Carrying data into a Joblet
  • C. Triggering a Joblet
  • D. Carrying data into a subJob

Answer: B

Explanation:
The generic Input component used for in a Joblet design is the tJobletInput component. This component is used to carry data into a Joblet from another component in the job that contains the Joblet. A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A Joblet can have one or more input and output flows that connect it with other components in a job. To create these flows, you need to use generic input and output components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you to define schemas and triggers for your Joblet without depending on specific components.
The tJobletInput component is not used for triggering a Joblet, triggering a subjob, or carrying data into a subjob. These are different concepts and functionalities in Talend Studio. A trigger is a link that activates a subjob or a component based on a condition or an event. A subjob is a part of a job that consists of one or more components connected by data flows or triggers. A subjob can be triggered by another subjob using triggers such as OnSubjobOk, OnSubjobError, Run if, etc. A subjob can also carry data into another subjob using data flows such as main, lookup, reject, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletInput properties - 7.3], [Joblets - 7.3], [Triggers - 7.3]


NEW QUESTION # 30
Where do you access the option to create a Joblet from an existing Job?

  • A. Right-clicking the I oh in the Repository
  • B. Adding a Joblet component to the Designer.
  • C. Selecting the desired components and right-clicking.
  • D. Selecting the File menu.

Answer: C

Explanation:
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.


NEW QUESTION # 31
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. Heading the time stamps from the execution console in the Run view.
  • B. Observing the execution times that annotate the flows in the Designer.
  • C. Observing the execution time in the Code view.
  • D. Comparing time stamp in Trace Debug mode.

Answer: A,B

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 # 32
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

  • A. Use of semantic types across the dataset sample
  • B. Number of valid and invalid values across the dataset sample
  • C. Use of user ratings and certification
  • D. Number of empty rows across the dataset sample

Answer: A,B

Explanation:
Comprehensive and Detailed Explanation:
The validity of a dataset in Talend's Trust Score framework is determined by:
* Number of valid and invalid values across the dataset sample (Option B):
* This metric assesses the quality of the data by evaluating the proportion of valid entries compared to invalid ones. A higher number of valid values indicates better data quality.
* Use of semantic types across the dataset sample (Option C):
* Semantic types help in understanding the meaning and context of data fields. Consistent and correct application of semantic types ensures that data is interpreted accurately, contributing to its validity.
Why not other options?
* Option A: User ratings and certification pertain to the popularity axis, reflecting user trust and endorsement, not the intrinsic validity of the data.
* Option D: The number of empty rows relates to the completeness axis, indicating missing data, rather than directly affecting validity.


NEW QUESTION # 33
......

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