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Talend Core Certified Developer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which locations allow you to view a dataset in Talend Cloud Data Preparation? Choose 3 answers.

A. Dataset patterns
B. Dataset properties
C. Dataset sample
D. Data preparation overview
E. Dataset overview

Answer: A,C,E

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, users can view and interact with datasets through various interfaces:
* Dataset overview (Option C):
* Provides a general summary of the dataset, including metadata, quality metrics, and other pertinent information.
* Dataset patterns (Option D):
* Displays recurring patterns within the dataset, helping users understand data distributions and identify anomalies.
* Dataset sample (Option E):
* Allows users to view a sample of the dataset's records, facilitating data exploration and preparation tasks.
Why not other options?
* Option A:"Data preparation overview" is not a standard feature or terminology within Talend Cloud Data Preparation.
* Option B:"Dataset properties" typically refers to metadata and configuration settings, not the data content itself.

NEW QUESTION # 14
Which characteristics distinguish Traces Debug from Java Debug?
Choose 2 answers

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

Answer: A,C

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 # 15
How do you create an empty Joblet?

A. Right-clicking a space in the Designer and select refactor to Joblect.
B. Right-click Joblet Designs the Repository and select Create Joblet.
C. Create an empty Jon and use the file menu to save it as Joblet.
D. Create an empty Job, then export it as a Joblet by right-clicking it in the Repository.

Answer: B

Explanation:
To create an empty Joblet, you need to right-click on the Joblet Designs node in the Repository tree view and select Create Joblet option. This will open a dialog box where you can enter the name and description of your Joblet and select an icon for it. You can then design your Joblet by adding components and links to it in the Designer workspace.
You cannot create an empty Joblet by creating an empty job, then exporting it as a Joblet by right-clicking it in the Repository, creating an empty job and using the file menu to save it as Joblet, or right-clicking a space in the Designer and selecting refactor to Joblet. These methods are not available in Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Joblets - 7.3]

NEW QUESTION # 16
Which methods can you use to name an output row in a tMap component? Choose 3 answers.

A. Click the name of the table in the Map Editor window and edit it.
B. Assign the name when connecting a new output component.
C. Assign the name when defining a new output table in the Map Editor window.
D. Double-click the output row in the Designer and enter a new name.
E. Select the output row, then open the Component view and click the View tab.

Answer: A,B,C

Explanation:
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.

NEW QUESTION # 17
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?

A. 10,000
B. All the available records
C. 1,000
D. 5,000

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, the platform is designed to handle large datasets efficiently by displaying a sample of the data to the user. By default, Talend Cloud Data Preparation can display up to 10,000 records from a dataset. This sampling approach ensures that users can interact with and analyze their data without performance issues that might arise from loading an entire large dataset into memory. Users have the option to view the first 10,000 records (Head sample) or 10,000 randomly selected records (Random sample) to get a representative understanding of the dataset's content.

NEW QUESTION # 18
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