You need to call a different Job within a Job you are developing.
Which mechanism allows you to pass the parameters to the lob you want to call?
Answer : A
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. Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tRunJob properties - 7.3], [Contexts - 7.3]
Which characteristics distinguish Traces Debug from Java Debug?
Choose 2 answers
Answer : A, D
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. Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?
Answer : A, B
To set up a server in your Talend environment that enables several members of your team to collaborate on a project, you need to enable two applications before working on a remote project: Git or SVN server instance and Talend Administration Center instance. These applications are used to manage version control and collaboration for your project.
Git or SVN server instance is a server application that allows you to store and track changes of your project files using a version control system. Git and SVN are two popular version control systems that are supported by Talend Studio. You need to have a Git or SVN server instance running and accessible by your team members before working on a remote project. You also need to have a Git or SVN client installed on each development workstation to connect to the server and perform version control operations.
Talend Administration Center is a web-based application that allows you to manage users, projects, tasks, execution servers, and licenses for your Talend environment. You need to have a Talend Administration Center instance running and accessible by your team members before working on a remote project. You also need to configure the team members and project settings in Talend Administration Center to grant access and permissions for your project. Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Version control - 7.3], [Talend Administration Center - 7.3]
You need a list of all customers whose first name contains "Tom" and who are older than 18. Which processor should be used?
Answer : C
Comprehensive and Detailed Explanation:
To filter customer records based on first name containing 'Tom' and age greater than 18, the Filter processor is the correct choice.
Filter (Option C) -- Correct Answer:
The Filter processor allows users to set conditional rules to extract only the required data.
Users can specify conditions such as:
first_name CONTAINS 'Tom'
AND
age > 18
This ensures that only relevant records are included in the output.
Why not other options?
Option A (Join): Used to combine data from multiple datasets based on a key field, not for filtering.
Option B (Aggregate): Used for summarizing data, such as calculating counts, sums, or averages.
Option D (Data Sampling): Used to select a random subset of data, not for filtering based on conditions.
Where do you access the option to create a Joblet from an existing Job?
Answer : B
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.
Talend Open Studio User Guide: Creating a Joblet from a Job: https://help.talend.com/r/en-US/8.0/studio-user-guide/creating-joblet-from-job
Which methods can you use to specify the schema in a tFileInputDelimited component? Choose 3 answers.
Answer : A, C, E
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.
C . Add the component, then drag and drop a generic schema metadata item onto the component.
Process:
Add the Component:
Place the tFileInputDelimited component onto the design workspace.
Drag Generic Schema:
From the Repository, locate the predefined generic schema metadata item.
Assign Schema to Component:
Drag the generic schema metadata item and drop it onto the tFileInputDelimited component. This action assigns the predefined schema to the component.
E . Drag a File delimited metadata item from the Repository onto the design workspace.
Process:
Locate Metadata Item:
In the Repository, navigate to the 'Metadata' section and find the 'File delimited' metadata item corresponding to your delimited file.
Drag to Workspace:
Drag the 'File delimited' metadata item and drop it onto the design workspace.
Automatic Component Creation:
Talend Studio automatically creates a tFileInputDelimited component configured with the schema defined in the metadata.
These methods provide flexibility in defining schemas for the tFileInputDelimited component, allowing for both manual configuration and reuse of predefined metadata.
You are building a complex Job and want to explore different options for optimizing execution times using parallelism.
How can you identify execution times to verify the effectiveness of your changes?
Choose 2 answers
Answer : B, D
To identify execution times to verify the effectiveness of your changes, you can use one of these methods:
Reading the time stamps from the execution console in the Run view. This method allows you to see the start and end time of each subjob and component in your job, as well as the total execution time of the job. You can also see the number of rows processed by each component and the status of the job (success or failure).
Observing the execution times that annotate the flows in the Designer. This method allows you to see the execution time of each flow (main, lookup, reject, etc.) between components in your job. You can also see the number of rows processed by each flow and the throughput (rows per second) of each flow.
You cannot use these methods to identify execution times:
Observing the execution time in the Code view. This method does not show you the execution time of your job or its components, but only the generated code of your job in Java or Perl. The Code view is useful for debugging or customizing your code, but not for measuring performance.
Comparing time stamps in Trace Debug mode. This method does not show you the execution time of your job or its components, but only the values of each column for each row processed by your job. The Trace Debug mode is useful for tracing data quality or transformation issues, but not for measuring performance. Reference: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Run view - 7.3], [Designer - 7.3], [Code view - 7.3], [Trace Debug mode - 7.3]