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Talend Core Certified Developer Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
What is the generic Input component used for in a Joblet design?

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

Answer: D

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 # 48
Which Action on table operations are supported by a tMysqlOutput component? Choose 3 answers.

A. Replace
B. Create table if does not exist
C. Drop table if exists and create
D. Drop table
E. Create table

Answer: B,C,E

Explanation:
Comprehensive and Detailed Explanation:
The tMysqlOutput component in Talend provides several actions on tables to manage data output operations effectively. The supported actions include:
* Drop Table if Exists and Create (Option B):
* This action checks if the specified table exists in the database. If it does, the table is dropped and a new one is created. This ensures that the table is recreated fresh for the data load.
* Create Table if Does Not Exist (Option D):
* This action checks if the specified table exists in the database. If it does not exist, the table is created. If it already exists, no action is taken, and the existing table is used.
* Create Table (Option E):
* This action attempts to create the specified table in the database. If the table already exists, an error will occur unless handled appropriately.
These actions provide flexibility in managing database tables during data integration processes, allowing for dynamic table creation and management based on the Job's requirements.

NEW QUESTION # 49
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. Supports breakpoints based on input data condition
D. Require Java development experiences

Answer: A,C

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 # 50
Which method allows you to execute the compiled Job Talend Studio?

A. Click the Export button in the Edit Properties window.
B. Right-click the Job in the Repository and select Build Job
C. Right-click the Job in the Repository and select Export items.
D. Select Save As on the main File menu

Answer: B

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 # 51
Which locations allow you to view a dataset in Talend Cloud Data Preparation? Choose 3 answers.

A. Dataset overview
B. Dataset sample
C. Data preparation overview
D. Dataset patterns
E. Dataset properties

Answer: A,B,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 # 52
......

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Talend-Core-Developer Pass4sure Dumps Pdf, New Talend-Core-Developer Test Sample

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Talend Core Certified Developer Exam Sample Questions (Q47-Q52):

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