Pass the Talend Data Integration Talend-Core-Developer Questions and answers with ExamsMirror

To call a different job within a job you are developing, you can use the tRunJob component. This component allows you to execute another job as a subjob within a parent job. To pass the parameters to the job you want to call, you can use the context parameters. Context parameters are variables that can store values that can be changed at runtime or between different contexts. You can define context parameters in the Contexts tab of your job and assign them values for each context. You can also pass context parameters from the parent job to the child job by using the Context Param tab of the tRunJob component. This way, you can parameterize the properties or expressions of the child job with the values from the parent job.

You do not need to use a file, command line options, or Java function parameters to pass parameters to a different job. These methods are not supported by Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tRunJob properties - 7.3], [Contexts - 7.3]

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.

Comprehensive and Detailed Explanation:

Talend Cloud Data Preparation enhances data quality and accessibility through:​

Cleanse data (Option C):

Identifying and correcting inaccuracies or inconsistencies to ensure data integrity.​

Transform (Option D):

Modifying data structures or values to meet specific requirements or formats.​

Standardize data (Option E):

Ensuring uniformity in data presentation and format, facilitating consistency across datasets.​

Why not other options?

Option A: Discovery is typically associated with data profiling, not preparation.​

Option B: Formatting is a subset of transformation and standardization processes.​

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]

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.​

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]

In a tMap component, naming an output row correctly helps in managing data flow efficiently. The correct methods are:

A. Click the name of the table in the Map Editor window and edit it.

Open tMap, locate the output table, and click its name to edit it directly.

B. Assign the name when defining a new output table in the Map Editor window.

When adding a new output table, you can name it immediately in the Map Editor.

D. Assign the name when connecting a new output component.

When you connect an output component to tMap, you can assign a custom row name.

Tags are used to mark specific points in the development lifecycle of a project. This can be done for a variety of reasons, such as:

To mark the completion of a major feature or release

To mark the start of a new development phase (e.g., QA, production)

To mark a known good state of the codebase (e.g., before a risky change)

Tags can be used to create branches, which can then be used to develop and test new features or bug fixes. They can also be used to deploy the codebase to different environments (e.g., development, staging, production).

Examples of when to use a tag:

When you are ready to release a new version of your application to production.

When you have completed a major feature or milestone in the development of your application.

Before making a risky change to your codebase, such as a database migration or refactoring.

When you need to deploy your application to a different environment, such as staging or production.

Benefits of using tags:

Tags can help you to keep track of the different versions of your codebase.

Tags can help you to roll back to a previous version of your codebase if necessary.

Tags can help you to deploy your codebase to different environments.

Tags can help you to collaborate with other developers more effectively.

 To copy Job1 from Branch1 to Branch2 and preserve the change history when connecting Studio to Talend Administration Center, you need to use the Copy to branch option. This option allows you to copy a job or a folder from one branch to another branch in the same project without losing the version history. You can access this option by switching to Branch1, right-clicking on Job1 in the Repository tree view, and selecting Copy to branch. This will open a dialog box where you can select Branch2 as the target branch and confirm the copy operation.

You do not need to use the import items, create standard job, or paste over options. These options are not used to copy jobs between branches and preserve the change history. The import items option is used to import items (such as jobs, metadata, routines, etc.) from an archive file that can be exported from another project or workspace. The create standard job option is used to create a new job with a name and a description. The paste over option is used to overwrite an existing job with another job that has been copied or cut from the same or another project. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Copy to branch - 7.3]

In Talend Studio, there are multiple methods to specify the schema for a tFileInputDelimited component. The three primary approaches include:​

A. Add the component, open the Component view, select the Built-in schema type, then click the Edit schema button.

Process:

Add the Component:​

Drag and drop the tFileInputDelimited component onto the design workspace.

Access Component View:​

Click on the component to open its Basic settings in the Component view.

Select Built-in Schema Type:​

Under the 'Schema' section, choose 'Built-In' from the 'Property Type' dropdown menu.

Edit Schema:​

Click the 'Edit schema' button to define the schema structure by adding columns and specifying their data types.