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Talend Core Certified Developer Exam Sample Questions (Q12-Q17):NEW QUESTION # 12
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers
- A. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
- B. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
- C. Building a Joblet typically requires the use of generic input, and trigger component.
- D. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.
- E. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
Answer: B,C,E
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 # 13
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?
- A. Extract the files from the archive and run the JAR file.
- B. Install the Job and start the resulting service.
- C. Extract the content of the archive and run the batch file or the shell script.
- D. Extract the contents of the archive and run the batch file and shell script.
Answer: C
Explanation:
To run a job that has been exported by a colleague to run outside Talend Studio, you need to extract the content of the archive and run the batch file or the shell script. The archive file contains all the files and libraries required to run the job independently from Talend Studio on any platform that supports Java. The archive file also contains two executable files: a batch file (.bat) for Windows platforms and a shell script (.sh) for Linux platforms. You need to run the appropriate file for your platform by double-clicking on it or using a command line tool. This will launch the job and display its output in a console window.
You do not need to extract the contents of the archive and run both the batch file and shell script, install the job and start the resulting service, or extract the files from the archive and run the JAR file. These methods are not correct 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 # 14
Which statements are true about the execution logs of a task running on a Remote Engine? Choose 2 answers.
- A. Logs are stored in an H2 database hosted on the server where the Remote Engine is running.
- B. Logs can be downloaded from Talend Management Console.
- C. Logs are stored in Parquet format on the server where the Remote Engine is running.
- D. Logs are stored in the file system of the server where the Remote Engine is running.
Answer: B,D
Explanation:
Comprehensive and Detailed Explanation:
When a task executes on a Talend Remote Engine, the execution logs are handled as follows:
* Logs are stored in the file system of the server where the Remote Engine is running (Option A):
* The Remote Engine writes execution logs to its local file system, typically in plain text or log formats. These logs provide detailed information about the task's execution and are essential for troubleshooting and monitoring.
* Logs can be downloaded from Talend Management Console (Option C):
* Talend Management Console (TMC) aggregates execution logs from Remote Engines, allowing users to access and download them directly through the TMC interface. This centralized access simplifies monitoring and debugging across multiple environments.
Why not other options?
* Option B:While some components of Talend may use H2 databases for internal purposes, execution logs are not typically stored in an H2 database on the Remote Engine server.
* Option D:Execution logs are generally stored in plain text or standard log formats, not in Parquet format. Parquet is a columnar storage file format commonly used for efficient data processing, not for logging purposes.
NEW QUESTION # 15
You designing a Job that can run in two contexts, Test and Production. You want to run it as a standalone job outside Talend Studio.
How do you accomplish this?
- A. Set the desired context as the default, then build the Job. Rebuild the Job if you need to run it in a different context.
- B. Build the Job with the Context scripts option selected in the Build Job windows. Before running the Job, edit the script according to the context in which want to run the job.
- C. Build the Job with the Context scripts option selected in the Build Job windows. You will be prompted for the context.
- D. Build the Job with the desired context selected in the Build Job windows. Build a separate copy if you need to run the Job in a different context.
Answer: D
Explanation:
To design a job that can run in two contexts, Test and Production, and run it as a standalone job outside Talend Studio, you need to do the following steps:
* Define the context variables and values for each context in the Contexts tab of your job. A context variable is a variable that can store a value that can be changed at runtime or between different contexts.
You can use context variables to parameterize the properties or expressions of your job components.
* Build the job with the desired context selected in the Build Job window. 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 need to select the context that you want to use for your job execution from the drop-down menu.
* Extract the content of the archive file that contains your job executable files and libraries. The archive file also contains two executable files: a batch file (.bat) for Windows platforms and a shell script (.sh) for Linux platforms. You need to run the appropriate file for your platform by double-clicking on it or using a command line tool. This will launch the job and display its output in a console window.
* If you need to run the job in a different context, you need to build a separate copy of the job with the other context selected in the Build Job window. You cannot change the context of an already built job without rebuilding it.
You do not need to build the job with the Context scripts option selected in the Build Job window, edit the script according to the context in which you want to run the job, set the desired context as the default, rebuild the job if you need to run it in a different context, or be prompted for the context. These methods are not correct 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], [Contexts - 7.3]
NEW QUESTION # 16
Which capabilities does Traces Debug provide?
Choose 2 answers
- A. Advancing one row at a time
- B. Breaking when an input column fulfills a condition
- C. Breaking on a selected line of code
- D. Filtering which data is propagated by a flow
- E. Advancing one column at a time
Answer: A,B
Explanation:
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.
The capabilities that Trace Debug mode provides are:
* Breaking when an input column fulfills a condition. 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. To set a breakpoint based on a condition, you need to right-click on a trace on your jobdesign workspace and select Show Breakpoint Setup option. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
* Advancing one row at a time. You can advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data.
The capabilities that Trace Debug mode does not provide are:
* Filtering which data is propagated by a flow. You cannot filter which data is propagated by a flow in Trace Debug mode. A flow is a link that shows 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. However, you cannot change which rows are propagated by a flow based on a condition or an expression.
* Advancing one column at a time. You cannot advance the execution of your job one column at a time in Trace Debug mode. You can only advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data. However, you cannot see how each column is processed by your job components and how it affects the output data.
* Breaking on a selected line of code. You cannot break on a selected line of code in Trace Debug mode.
You can only break on a trace based on a condition or an expression that involves input data columns.
To break on a selected line of code, you need to use Java Debug mode. 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. You can access this mode by switching to the Java perspective and clicking on the Debug button in the toolbar of the Code view. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]
NEW QUESTION # 17
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