FREE PDF QUIZ TALEND - TALEND-CORE-DEVELOPER–EFFICIENT TRAINING SOLUTIONS

Free PDF Quiz Talend - Talend-Core-Developer–Efficient Training Solutions

Free PDF Quiz Talend - Talend-Core-Developer–Efficient Training Solutions

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Talend Core Certified Developer Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?

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

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 # 31
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?

  • A. Extract the contents of the archive and run the batch file and shell script.
  • B. Extract the files from the archive and run the JAR file.
  • C. Extract the content of the archive and run the batch file or the shell script.
  • D. Install the Job and start the resulting service.

Answer: C

Explanation:
To run a job that has been exported by a colleague to run outside Talend Studio, you need to extract the content of the archive and run the batch file or the shell script. The archive file contains all the files and libraries required to run the job independently from Talend Studio on any platform that supports Java. 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.
You do not need to extract the contents of the archive and run both the batch file and shell script, install the job and start the resulting service, or extract the files from the archive and run the JAR file. 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]


NEW QUESTION # 32
You have a MySQL table named customers with columns named id, name, address, and country. You need to retrieve records that have a specific country based on a variable. Which steps should you use to achieve this?

  • A. Use a tDBInput component with a Run if trigger.
  • B. Use a tDBInput component with a context variable in the SQL query.
  • C. Use a tDBInput component and link it to a tMatchGroup component.
  • D. Use a tDBInput component and link it to a tFilterColumns component.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
To filter records based on a specific country dynamically, the best approach isusing a tDBInput component with a context variable in the SQL query (Option A).
Step-by-Step Process:
* Define a Context Variable:
* In theContext Variablessection of Talend Studio, create a new variable (context.country) and set its value dynamically.
* Configure tDBInput:
* Drag and drop the tDBInput component onto theDesigner.
* Set up thedatabase connectionusing either Built-in or Repository mode.
* In theQuery field, write:
SELECT id, name, address, country FROM customers WHERE country = '" + context.country + "'
* Execute the Job:
* The Job will retrieveonly those records where the country column matches the value of the context variable.
* The value of context.country can be modified at runtime, making the querydynamic.
Why not other options?
* tMatchGroup (Option B):Used for record deduplication, not filtering.
* Run if Trigger (Option C):Controls execution flow but does not filter records inside tDBInput.
* tFilterColumns (Option D):Removes unwanted columns but does not filter records based on conditions.


NEW QUESTION # 33
You need a list of all customers whose first name contains "Tom" and who are older than 18. Which processor should be used?

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

Answer: A

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 # 34
Which concepts are a part of Pipeline Designer? Choose 3 answers.

  • A. Processor
  • B. Dataset
  • C. Context variables
  • D. Connection
  • E. Preparations

Answer: A,B,D

Explanation:
Comprehensive and Detailed Explanation:
Talend's Pipeline Designer is a tool that enables users to design and execute data integration workflows. Key components of Pipeline Designer include:
* Connection (Option C):
* Defines the link between Pipeline Designer and various data sources or destinations, specifying how to access and interact with external systems.
* Dataset (Option D):
* Represents the structured data that flows through the pipeline, serving as the input or output of various processing steps.
* Processor (Option E):
* Performs specific operations on the data within the pipeline, such as transformations, aggregations, or filtering, to achieve the desired data processing outcomes.
Why not other options?
* Option A:While context variables are used in Talend Studio for parameterizing jobs, they are not a primary concept in Pipeline Designer.
* Option B:"Preparations" refer to data transformation sequences in Talend Data Preparation, not directly in Pipeline Designer.


NEW QUESTION # 35
......

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