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Talend Core Certified Developer Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
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. Aggregate
D. Join

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 # 20
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers

A. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
B. Building a Joblet typically requires the use of generic input, and trigger component.
C. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
D. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
E. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.

Answer: A,B,C

Explanation:
A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A tRunJob component is a component that allows you to call another job as a subjob within a parent job. When comparing a Joblet to a tRunJob component, these statements are true:
* A Joblet uses the same context variables of the job in which it is used, unlike a tRunJob component. A context variable is a variable that can store a value that can be changed at runtime or between different contexts. A Joblet inherits the context variables from the job that contains it and does not have its own context variables. A tRunJob component can pass context variables from the parent job to the child job, or use a specific context for the child job.
* Building a Joblet typically requires the use of generic input and trigger components. A Joblet can have one or more input and output flows that connect it with other components in a job. To create these flows, you need to use generic input and trigger components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you todefine schemas and triggers for your Joblet without depending on specific components.
* The nested job called by a tRunJob component cannot use the same context variables of the job in which it is used. A nested job is a job that is called by another job using a tRunJob component. A nested job can have its own context variables or receive context variables from its parent job, but it cannot use the same context variables as its parent job. This means that if you have two context variables with the same name in both jobs, they will be treated as separate variables and will not share values.
These statements are false when comparing a Joblet to a tRunJob component:
* The performance of tRunJob component is better than running an equivalent job using a Joblet. The performance of a Joblet is better than running an equivalent job using a tRunJob component. This is because a Joblet is integrated into the main code of the job and does not require launching another JVM process or loading another metadata object like a tRunJob component does. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Joblets - 7.3], [tRunJob properties - 7.3],
[Contexts - 7.3]

NEW QUESTION # 21
You are using a tRESTClient component to call a REST service. Which advanced option should you use to convert the response from the server to the document type?

A. Convert Response To DOM Document
B. Convert Response To XML Document
C. Convert Response To JSON Document
D. Convert Response To HTML Document

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
In Talend Studio, the tRESTClient component includes an advanced setting called"Convert Response To DOM Document". When this option is selected, the response from the REST service is converted into a DOM (Document Object Model) document. This allows for structured processing of the response data within Talend workflows.

NEW QUESTION # 22
Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

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

Answer: A,B

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 # 23
Which methods can you use to specify the schema in a tFileInputDelimited component? Choose 3 answers.

A. Add the schema to the component using the Schema Editor.
B. Drag a File delimited metadata item from the Repository onto the design workspace.
C. Drag a generic schema metadata item onto the Designer.
D. Add the component, open the Component view, select the Built-in schema type, then click the Edit schema button.
E. Add the component, then drag and drop a generic schema metadata item onto the component.

Answer: B,D,E

Explanation:
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.

NEW QUESTION # 24
......

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Talend Core Certified Developer Exam Sample Questions (Q19-Q24):

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