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Talend Core Certified Developer Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
Where can you specify the remote JobServer to execute a Job?

A. Job settings section of the Project Settings windows
B. Run/Debug section in the Preference window
C. Extra tab in the Job view
D. Target Exec tab in the Run view

Answer: D

Explanation:
To specify the remote JobServer to execute a job, you need to use the Target Exec tab in the Run view of Talend Studio. The Run view allows you to configure and execute your job from Talend Studio. The Target Exec tab allows you to select whether you want to run your job locally or remotely on a JobServer. A JobServer is a server application that allows you to execute jobs remotely from Talend Studio or Talend Administration Center. To run your job on a remote JobServer, you need to select Remote Jobserver option from the drop-down menu and select or add a JobServer connection from the list.
You do not need to use Job settings section of Project Settings window, Extra tab in Job view, or Run/Debug section in Preferences window. These windows are not used to specify remote JobServer execution. The Job settings section of Project Settings window is used to configure general settings for your jobs, such as versioning, statistics, logs, etc. The Extra tab in Job view is used to configure extra features for your job, such as implicit context load, tStatCatcher, tLogCatcher, etc. The Run/Debug section in Preferences window is used to configure run/debug settings for your Talend Studio, such as JVM arguments, execution mode, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Run view - 7.3],
[Project Settings - 7.3], [Job view - 7.3], [Preferences - 7.3]

NEW QUESTION # 15
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

A. Number of valid and invalid values across the dataset sample
B. Use of semantic types 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 # 16
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers

A. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
B. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
C. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
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 # 17
You created a Job to process a customer database. Next, you want to debug the Job using Traces Debug and pause the execution when it encounters any records for customers residing in the state of California.

A. Right-click the trace on the output of the input component and select Add Breakpoint.
B. Add a breakpoint in the Advanced Settings tab of the Run view.
C. Right-click the trace on the output of the input component and select Show Breakpoint Setup.
D. Open the Debug Run tab of the Run view and click Traces Debug.

Answer: C

Explanation:
To debug a job using Trace Debug mode and pause the execution when it encounters any records for customers residing in the state of California, you need to right-click on the trace on the output of the input component and select Show Breakpoint Setup option. Trace Debug mode is a feature that allows you to trace each row processed by your job components and see the values of each column in each row. You can access this mode by opening the Debug Run tab of the Run view and clicking on Trace Debug button. A trace is a link that shows the data flow between components in your job design workspace.
The Show Breakpoint Setup option allows you to set a breakpoint on a trace based on a condition or an expression. A breakpoint is a point 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. You can access this option by right-clicking on a trace on your job design workspace and selecting Show Breakpoint Setup. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
For example, if you want to pause your job execution when it encounters any records for customers residing in the state of California, you can enter this condition for your breakpoint:
row1.state == "CA"
This will make your job stop at the trace where this condition is met and show you the values of each column for that row.
You do not need to add a breakpoint in Advanced settings tab of Run view, open Debug Run tab of Run view and click Trace Debug button, or right-click on trace on output of input component and select Add Breakpoint option. These options are not used to set breakpoints based on conditions or expressions. The Advanced settings tab of Run viewis used to configure advanced settings for your job execution, such as JVM arguments, statistics parameters, implicit context load parameters, etc. The Debug Run tab of Run view is used to access Trace Debug mode, but not to set breakpoints. The Add Breakpoint option is used to add a simple breakpoint on a trace without any condition or expression. References: Talend Open Studio: Open- source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Breakpoints - 7.3]

NEW QUESTION # 18
Which operations can you perform using a tMap component? Choose 3 answers.

A. Reject data using inner join rejections.
B. Load single lookup tables only.
C. Map data using filters, constraints, and simple explicit joins.
D. Transform data from single or multiple sources to single or multiple destinations.
E. Perform full outer joins.

Answer: C,D,E

Explanation:
Comprehensive and Detailed Explanation:
The tMap component in Talend allows for various data transformation and mapping operations. The correct operations include:
* A. Map data using filters, constraints, and simple explicit joins.
* tMap allows mapping fields between sources and destinations with filters and constraints.
* B. Perform full outer joins.
* Unlike tJoin, tMap supports full outer joins, allowing all records from both tables to be included.
* C. Transform data from single or multiple sources to single or multiple destinations.
* You can map multiple input sources to multiple output targets with transformations.

NEW QUESTION # 19
......

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James Brown James Brown

Biography

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James Brown James Brown

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