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Talend Core Certified Developer Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?

A. All the available records
B. 1,000
C. 5,000
D. 10,000

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, the platform is designed to handle large datasets efficiently by displaying a sample of the data to the user. By default, Talend Cloud Data Preparation can display up to 10,000 records from a dataset. This sampling approach ensures that users can interact with and analyze their data without performance issues that might arise from loading an entire large dataset into memory. Users have the option to view the first 10,000 records (Head sample) or 10,000 randomly selected records (Random sample) to get a representative understanding of the dataset's content.

NEW QUESTION # 22
You implemented a Job in Talend Studio and need to execute it in Talend Cloud. Which options can you use in Talend Management Console after publishing the Job to Talend Cloud? Choose 2 answers.

A. Select the corresponding task, configure the task, and then run the task.
B. Click the artifact name and then run the Job.
C. Add a task and then run the task.
D. Select the artifact name, add and configure a task, then run the task.

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation:
After publishing a Job from Talend Studio to Talend Cloud, you can execute it using the Talend Management Console (TMC) by following these steps:
* Add a task and then run the task (Option A):
* In TMC, navigate to theManagementsection and selectTasks.
* Click onAdd Task, choose the published artifact (your Job), configure necessary parameters, and save the task.
* Once the task is created, you can run it manually or schedule it for execution.
* Select the artifact name, add and configure a task, then run the task (Option D):
* In TMC, go to theArtifactssection to view your published Jobs.
* Select the desired artifact and click onAdd Task.
* Configure the task settings as needed and save it.
* After creating the task, you can execute it immediately or set up a schedule.
Why not other options?
* Option B:TMC does not support directly running a Job by clicking on the artifact name without first creating a task.
* Option C:While you can select and configure an existing task, the initial step requires creating the task associated with the artifact.

NEW QUESTION # 23
You want to improve the Trust Score of your dataset as a dataset owner. Which actions should you perform? Choose 2 answers.

A. Use the dataset in an ETL Job
B. Change the dataset score manually
C. Improve the quality of the dataset using Pipeline Designer
D. Add ratings to the dataset

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation:
To enhance the Trust Score of a dataset:
* Improve the quality of the dataset using Pipeline Designer (Option A):
* Utilizing Talend's Pipeline Designer allows you to cleanse, transform, and enrich your data, thereby improving its quality and, consequently, its Trust Score.
* Add ratings to the dataset (Option D):
* Encouraging users to rate the dataset increases its popularity metric, positively impacting the overall Trust Score.
Why not other options?
* Option B: The Trust Score is automatically calculated based on specific metrics; it cannot be manually altered.
* Option C: While using the dataset in ETL jobs indicates its utility, it does not directly influence the Trust Score unless it affects metrics like usage or popularity.

NEW QUESTION # 24
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

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

Answer: B,D

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 # 25
What is the generic Input component used for in a Joblet design?

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

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 # 26
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2025 Talend Valid Talend-Core-Developer Test Cram - Talend Core Certified Developer Exam Realistic Valid Test Cram 100% Pass Quiz

New Talend-Core-Developer Test Pattern, Talend-Core-Developer Pass Rate

Talend Core Certified Developer Exam Sample Questions (Q21-Q26):

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