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Quiz Valid Talend-Core-Developer - Talend Core Certified Developer Exam Test Pri

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Quiz Valid Talend-Core-Developer - Talend Core Certified Developer Exam Test Pri

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Talend Core Certified Developer Exam Sample Questions (Q16-Q21):NEW QUESTION # 16
Which locations allow you to view a dataset in Talend Cloud Data Preparation? Choose 3 answers.
  • A. Dataset patterns
  • B. Data preparation overview
  • C. Dataset sample
  • D. Dataset overview
  • E. Dataset properties
Answer: A,C,D
Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, users can view and interact with datasets through various interfaces:
* Dataset overview (Option C):
* Provides a general summary of the dataset, including metadata, quality metrics, and other pertinent information.
* Dataset patterns (Option D):
* Displays recurring patterns within the dataset, helping users understand data distributions and identify anomalies.
* Dataset sample (Option E):
* Allows users to view a sample of the dataset's records, facilitating data exploration and preparation tasks.
Why not other options?
* Option A:"Data preparation overview" is not a standard feature or terminology within Talend Cloud Data Preparation.
* Option B:"Dataset properties" typically refers to metadata and configuration settings, not the data content itself.

NEW QUESTION # 17
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. Specify All for the Shell launcher option in the Build Job windows.
  • B. Build one package for each platform.
  • C. Configure the Job properties building the Job.
  • D. Select Build Job because Jobs are runnable on all platforms
Answer: A
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 # 18
Where do you access the option to create a Joblet from an existing Job?
  • A. Adding a Joblet component to the Designer.
  • B. Right-clicking the I oh in the Repository
  • C. Selecting the File menu.
  • D. Selecting the desired components and right-clicking.
Answer: D
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 # 19
Which method allows you to execute the compiled Job Talend Studio?
  • A. Click the Export button in the Edit Properties window.
  • B. Select Save As on the main File menu
  • C. Right-click the Job in the Repository and select Export items.
  • D. Right-click the Job in the Repository and select Build Job
Answer: D
Explanation:
To execute the compiled job outside Talend Studio, you need to right-click on the job in the Repository tree view and select Build Job option. This 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 click the Export button in the Edit Properties window, right-click on the job in the Repository and select Export items, or select Save As on the main File menu. These options are not used to execute the compiled job outside Talend Studio. The Export button in the Edit Properties window is used to export your job properties as an XML file. The Export items option is used to export your items (such as jobs, metadata, routines, etc.) as an archive file that can be imported into another project or workspace. The Save As option is used to save a copy of your job with a different name or location. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]

NEW QUESTION # 20
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers
  • A. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
  • B. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
  • C. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
  • D. Building a Joblet typically requires the use of generic input, and trigger component.
  • E. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.
Answer: A,C,D
Explanation:
A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A tRunJob component is a component that allows you to call another job as a subjob within a parent job. When comparing a Joblet to a tRunJob component, these statements are true:
* A Joblet uses the same context variables of the job in which it is used, unlike a tRunJob component. A context variable is a variable that can store a value that can be changed at runtime or between different contexts. A Joblet inherits the context variables from the job that contains it and does not have its own context variables. A tRunJob component can pass context variables from the parent job to the child job, or use a specific context for the child job.
* Building a Joblet typically requires the use of generic input and trigger components. 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 trigger components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you todefine schemas and triggers for your Joblet without depending on specific components.
* The nested job called by a tRunJob component cannot use the same context variables of the job in which it is used. A nested job is a job that is called by another job using a tRunJob component. A nested job can have its own context variables or receive context variables from its parent job, but it cannot use the same context variables as its parent job. This means that if you have two context variables with the same name in both jobs, they will be treated as separate variables and will not share values.
These statements are false when comparing a Joblet to a tRunJob component:
* The performance of tRunJob component is better than running an equivalent job using a Joblet. The performance of a Joblet is better than running an equivalent job using a tRunJob component. This is because a Joblet is integrated into the main code of the job and does not require launching another JVM process or loading another metadata object like a tRunJob component does. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Joblets - 7.3], [tRunJob properties - 7.3],
[Contexts - 7.3]

NEW QUESTION # 21
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