RELIABLE RELIABLE TALEND-CORE-DEVELOPER STUDY GUIDE HELP YOU TO GET ACQUAINTED WITH REAL TALEND-CORE-DEVELOPER EXAM SIMULATION

Reliable Reliable Talend-Core-Developer Study Guide Help You to Get Acquainted with Real Talend-Core-Developer Exam Simulation

Reliable Reliable Talend-Core-Developer Study Guide Help You to Get Acquainted with Real Talend-Core-Developer Exam Simulation

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

NEW QUESTION # 14
You create a Job consisting of two subJobs, A and B. You added Joblet C with the intension of running it between A and B.
What are the minimum requirements to orchestrate this? (Choose Two)

  • A. Link A, B and C using On Subject Ok triggers.
  • B. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into A.
  • C. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into C
  • D. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into B.

Answer: A,C

Explanation:
To create a job consisting of two subjobs, A and B, and add a Joblet C with the intention of running it between A and B, you need to do the following steps:
* Design subjob A by adding components and links to it in the Designer workspace.
* Add a Start component to mark the beginning of subjob B and link it to subjob A using an OnSubjobOk trigger.
* Design subjob B by adding components and links to it after the Start component in the Designer workspace.
* Add a tJobletTriggerInput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Add a tJobletTriggerOutput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Drag your Joblet C from the Repository tree view to the Designer workspace between subjob A and subjob B.
* Link your Joblet C to subjob A using an OnComponentOk trigger from the last component of subjob A to the tJobletTriggerInput component of your Joblet C.
* Link your Joblet C to subjob B using an OnComponentOk trigger from the tJobletTriggerOutput component of your Joblet C to the Start component of subjob B.
The minimum requirements to orchestrate this are adding TRIGGER_INPUT and TRIGGER_OUTPUT components into C and linking A, B, and C using OnSubjobOk triggers. These are generic components that allow you to define triggers for your Joblet without depending on specific components. You do not need to add TRIGGER_INPUT and TRIGGER_OUTPUT components into A or B, as these are regular subjobs that can use any type of components or triggers. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletTriggerInput properties - 7.3], [tJobletTriggerOutput properties - 7.3],
[Joblets - 7.3], [Triggers - 7.3]


NEW QUESTION # 15
Which characteristics distinguish Traces Debug from Java Debug?
Choose 2 answers

  • A. Supports breakpoints based on input data condition
  • B. Require Java development experiences
  • C. Requires a separate perspective
  • D. Allow row-by-row inspection of data flows

Answer: A,D

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 # 16
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. 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.
  • B. Set the desired context as the default, then build the Job. Rebuild the Job if you need to run it in a different context.
  • 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 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.

Answer: A

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 # 17
Which operations can you perform using a tMap component? Choose 3 answers.

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

Answer: A,B,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 # 18
User A shared a connection with User B. User B used the shared connection and created Dataset_1. User A stops sharing the connection with User B. Which statement is true about access to Dataset_1?

  • A. User B has no access to Dataset_1.
  • B. User B has full access to Dataset_1.
  • C. User B has limited access to Dataset_1.
  • D. User A has full access to Dataset_1.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Inventory, when a user creates a dataset using a shared connection, the following applies:
* User B has full access to Dataset_1 (Option D):
* Once User B creates Dataset_1 using the shared connection, they become the owner of that dataset. Even if User A later revokes access to the connection, User B retains full access to Dataset_1. The dataset's accessibility is independent of the connection's sharing status after its creation.
Why not other options?
* Option A:User B's access to Dataset_1 is not limited; they have full ownership and control.
* Option B:Revoking the connection does not remove User B's access to datasets they have already created.
* Option C:User A's access to Dataset_1 depends on the sharing settings applied by User B; by default, User A does not have access unless granted.


NEW QUESTION # 19
......

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