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Talend Core Certified Developer Exam Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which operations can you perform using a tMap component? Choose 3 answers.

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

Answer: B,D,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 # 46
Which method allows you to execute the compiled Job Talend Studio?

A. Select Save As on the main File menu
B. Right-click the Job in the Repository and select Export items.
C. Click the Export button in the Edit Properties window.
D. Right-click the Job in the Repository and select Build Job

Answer: D

Explanation:
To execute the compiled job outside Talend Studio, you need to right-click on the job in the Repository tree view and select Build Job option. This option allows you to export your job as an executable file that can be run independently from Talend Studio on any platform that supports Java. 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 do not need to click the Export button in the Edit Properties window, right-click on the job in the Repository and select Export items, or select Save As on the main File menu. These options are not used to execute the compiled job outside Talend Studio. The Export button in the Edit Properties window is used to export your job properties as an XML file. The Export items option is used to export your items (such as jobs, metadata, routines, etc.) as an archive file that can be imported into another project or workspace. The Save As option is used to save a copy of your job with a different name or location. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]

NEW QUESTION # 47
You are collaborating on a project with other developers using talend best practices.
When should you use a tag?

A. Fixing hugs or enhancements.
B. Denoting a milestone in the lifecycle of a project
C. Denoting major or minor releases.
D. Capturing snapshot of a codebase that requires ongoing maintenance.

Answer: B

Explanation:
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.

NEW QUESTION # 48
You need a list of all customers whose first name contains "Tom" and who are older than 18. Which processor should be used?

A. Data sampling
B. Filter
C. Join
D. Aggregate

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
To filter customer records based onfirst name containing "Tom"andage greater than 18, theFilter processor is the correct choice.
* TheFilter processorallows users to setconditional rulesto 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.

NEW QUESTION # 49
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

A. Use of user ratings and certification
B. Number of valid and invalid values across the dataset sample
C. Use of semantic types across the dataset sample
D. Number of empty rows across the dataset sample

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
The validity of a dataset in Talend's Trust Score framework is determined by:
* Number of valid and invalid values across the dataset sample (Option B):
* This metric assesses the quality of the data by evaluating the proportion of valid entries compared to invalid ones. A higher number of valid values indicates better data quality.
* Use of semantic types across the dataset sample (Option C):
* Semantic types help in understanding the meaning and context of data fields. Consistent and correct application of semantic types ensures that data is interpreted accurately, contributing to its validity.
Why not other options?
* Option A: User ratings and certification pertain to the popularity axis, reflecting user trust and endorsement, not the intrinsic validity of the data.
* Option D: The number of empty rows relates to the completeness axis, indicating missing data, rather than directly affecting validity.

NEW QUESTION # 50
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