試験合格保証付きのTalend Data Integration Talend-Core-Developer試験問題集 [Q18-Q40]

試験合格保証付きのTalend Data Integration Talend-Core-Developer試験問題集

Talend Talend-Core-Developer日常練習試験は2025年最新のに更新された57問あります

質問 # 18
You need to share a connection between multiple database components in a Studio Job. Which component should you use?

• A. tDBRun
• B. tDBOutput
• C. tDBCommit
• D. tDBConnection

正解：D

解説：
Comprehensive and Detailed Explanation:
In Talend, when multiple components need to share the same database connection, thetDBConnection component is used.
* tDBConnection (Correct Answer - Option D):
* This component establishes a database connection that can bereused by multiple database components(such as tDBInput, tDBOutput, and tDBRow) within the same Job.
* Reduces redundant connection creation,improving performance and efficiency.
* To use it, other database components must set"Use an existing connection"in their configuration.
* Why not other options?
* tDBOutput (Option A):Used for writing data to a database but does not manage shared connections.
* tDBRun (Option B):Used to execute a subJob but does not handle database connections.
* tDBCommit (Option C):Used for committing transactions, but it requires a shared connection (which tDBConnection provides).

質問 # 19
What is the default port for the REST Endpoint when using tRESTRequest in Talend Studio?

• A. 0
• B. 1
• C. 2
• D. 3

正解：C

解説：
Comprehensive and Detailed Explanation:
The defaultREST endpoint port for tRESTRequest in Talend Studio is 8090.
* Port 8090 (Correct Answer - Option D):
* When running a REST service insideTalend Studio, the default listening port is8090.
* This can be changed in the component settings if required.
* Other port options explained:
* 5040 & 5070: Not default ports used for Talend REST services.
* 8040: Used inTalend Runtime, not in Studio.

質問 # 20
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.

正解：B

解説：
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.

質問 # 21
Which operations can you perform using a tMap component? Choose 3 answers.

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

正解：A、C、D

解説：
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.

質問 # 22
Which statements are true about the execution logs of a task running on a Remote Engine? Choose 2 answers.

• A. Logs are stored in the file system of the server where the Remote Engine is running.
• B. Logs can be downloaded from Talend Management Console.
• C. Logs are stored in an H2 database hosted on the server where the Remote Engine is running.
• D. Logs are stored in Parquet format on the server where the Remote Engine is running.

正解：A、B

解説：
Comprehensive and Detailed Explanation:
When a task executes on a Talend Remote Engine, the execution logs are handled as follows:
* Logs are stored in the file system of the server where the Remote Engine is running (Option A):
* The Remote Engine writes execution logs to its local file system, typically in plain text or log formats. These logs provide detailed information about the task's execution and are essential for troubleshooting and monitoring.
* Logs can be downloaded from Talend Management Console (Option C):
* Talend Management Console (TMC) aggregates execution logs from Remote Engines, allowing users to access and download them directly through the TMC interface. This centralized access simplifies monitoring and debugging across multiple environments.
Why not other options?
* Option B:While some components of Talend may use H2 databases for internal purposes, execution logs are not typically stored in an H2 database on the Remote Engine server.
* Option D:Execution logs are generally stored in plain text or standard log formats, not in Parquet format. Parquet is a columnar storage file format commonly used for efficient data processing, not for logging purposes.

質問 # 23
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?

• A. Git or SVN server instance must be running.
• B. Git or SVN client must be installed on each developed workstation.
• C. Talend admission Center service must be running on each development workstation.
• D. Talent Administration Center instance must be running with the team members and project configured.

正解：A、D

質問 # 24
You have two branches: Branch1 contains Job1, and Branch 2 contains Job 2. You want to copy Job1 to Branch 2 and preserve the change history when connecting Studio to Talend Administrator Center.
Which method should you use to preserve the change history?

• A. Switch to Branch 1, copy lob 1, switch to Branch 2, and paste Job 1 over Job 2.
• B. Switch to Branch 1, right-click Job 1, select Copy to branch, and select Branch 2.
• C. Switch to Branch 1, copy the Branch 1 job, switch to Branch 2, and paste the job into Branch 2.
• D. Switch to branch 1, copy the Branch 1 Job, switch to Branch 2, and paste the Job into Branch 2.

正解：B

解説：
To copy Job1 from Branch1 to Branch2 and preserve the change history when connecting Studio to Talend Administration Center, you need to use the Copy to branch option. This option allows you to copy a job or a folder from one branch to another branch in the same project without losing the version history. You can access this option by switching to Branch1, right-clicking on Job1 in the Repository tree view, and selecting Copy to branch. This will open a dialog box where you can select Branch2 as the target branch and confirm the copy operation.
You do not need to use the import items, create standard job, or paste over options. These options are not used to copy jobs between branches and preserve the change history. The import items option is used to import items (such as jobs, metadata, routines, etc.) from an archive file that can be exported from another project or workspace. The create standard job option is used to create a new job with a name and a description. The paste over option is used to overwrite an existing job with another job that has been copied or cut from the same or another project. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Copy to branch - 7.3]

質問 # 25
In Talend Studio, you have access to a references project named project_ref. You need to reuse a Job named testJob from the project_ref in your main Job.

• A. Right-click Job Designs, click Crete Standard Job, and enter testJob as the Job name.
• B. Right-click Job Designs and click import items.
• C. Navigate to Metadata, @ project ref, Job Designs, Standard, then select testJob.
• D. Navigate to @ Referenced project, @ project_ref, Job Designs, Standard, then select testJob.

正解：D

解説：
To reuse a job named testJob from a referenced project named project_ref in your main job, you need to navigate to @Referenced project, @project_ref, Job Designs, Standard, then select testJob. A referenced project is a project that can be accessed from another project in read-only mode. You can add a referenced project to your main project by using the Project Settings window in Talend Studio. You can then browse the items (such as jobs, metadata, routines, etc.) of the referenced project in the Repository tree view under the
@Referenced project node. You can drag and drop any item from the referenced project to your main job design workspace.
You do not need to use import items, create standard job, or navigate to Metadata options. These options are not used to reuse jobs from referenced projects. The import items option is used to import items (such as jobs, metadata, routines, etc.) from an archive file that can be exported from another project or workspace. The create standard job option is used to create a new job with a name and a description. The Metadata node in the Repository tree view is used to store and manage metadata definitions for various data sources (such as databases, files, web services,etc.). References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Referenced projects - 7.3]

質問 # 26
Whatare the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility?
Choose 2 answers

• A. Standardize data
• B. Discover
• C. Transform
• D. Cleanse data

正解：A、D

質問 # 27
Where do you access the option to create a Joblet from an existing Job?

• A. Selecting the File menu.
• B. Right-clicking the I oh in the Repository
• C. Adding a Joblet component to the Designer.
• D. Selecting the desired components and right-clicking.

正解：D

解説：
To create a Joblet from an existing Job, you can follow these steps:
* Open the Job that you want to create a Joblet from.
* Select the components that you want to include in the Joblet.
* Right-click on the selected components and select Create Joblet from the context menu.
* In the Create Joblet dialog box, enter a name and description for the Joblet.
* Click Finish to create the Joblet.

質問 # 28
In some instances, after applying changes to a component schema, you are asked if you would like to propagate the changes. What is the significance of thisprompt?

• A. Confirm that you want to apply the schema changes to the previous component in the Job.
• B. Confirm that you want to apply the schema changes to the next component in the Job.
• C. Confirm that you want to apply the schema changes to both the previous and next components in the Job.
• D. Confirm that you want to apply the schema changes to the selected component.

正解：B

解説：
When you modify the schema of a component in Talend Studio, the application prompts you to propagate these changes. This propagation ensures that any alterations to the data structure are consistently applied throughout the Job, maintaining data integrity and coherence.
Understanding Schema Propagation:
* Purpose:Schema propagation is essential to synchronize the data structure across connected components. When a schema changes (e.g., adding or removing a column), downstream components that rely on this schema need to be updated to reflect these changes.
* Prompt Significance:The prompt serves as a confirmation to apply the schema changes to the subsequent components in the Job. By agreeing to propagate, Talend Studio automatically updates the schemas of all downstream components connected to the modified component.
Example Scenario:
Consider a Job where a tFileInputDelimited component reads data and passes it to a tMap component, which then outputs to a tFileOutputDelimited component. If you add a new column to the schema of tFileInputDelimited:
* Modification:
* You add a new column, 'emailAddress', to the tFileInputDelimited schema.
* Propagation Prompt:
* Upon making this change, Talend Studio prompts you to propagate the schema changes.
* Effect of Propagation:
* By confirming, the 'emailAddress' column is added to the schemas of all downstream components (e.g., tMap and tFileOutputDelimited). This ensures that these components recognize and can process the new column appropriately.
By understanding and utilizing schema propagation, you ensure that all components within your Talend Jobs remain synchronized, reducing errors and enhancing data processing efficiency.

質問 # 29
What are the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility? Choose 3 answers.

• A. Standardize data
• B. Transform
• C. Discover
• D. Format data
• E. Cleanse data

正解：A、B、E

解説：
Comprehensive and Detailed Explanation:
Talend Cloud Data Preparation enhances data quality and accessibility through:
* Cleanse data (Option C):
* Identifying and correcting inaccuracies or inconsistencies to ensure data integrity.
* Transform (Option D):
* Modifying data structures or values to meet specific requirements or formats.
* Standardize data (Option E):
* Ensuring uniformity in data presentation and format, facilitating consistency across datasets.
Why not other options?
* Option A: Discovery is typically associated with data profiling, not preparation.
* Option B: Formatting is a subset of transformation and standardization processes.

質問 # 30
Which capabilities does Traces Debug provide?
Choose 2 answers

• A. Filtering which data is propagated by a flow
• B. Breaking on a selected line of code
• C. Breaking when an input column fulfills a condition
• D. Advancing one row at a time
• E. Advancing one column at a time

正解：C、D

解説：
Trace Debug mode is a feature that allows you to trace each row processed by your job components and see the values of each column in each row. You can access this mode by opening the Debug Run tab of the Run view and clicking on Trace Debug button.
The capabilities that Trace Debug mode provides are:
* Breaking when an input column fulfills a condition. 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. To set a breakpoint based on a condition, you need to right-click on a trace on your jobdesign workspace and select Show Breakpoint Setup option. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
* Advancing one row at a time. You can advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data.
The capabilities that Trace Debug mode does not provide are:
* Filtering which data is propagated by a flow. You cannot filter which data is propagated by a flow in Trace Debug mode. A flow is a link that shows 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. However, you cannot change which rows are propagated by a flow based on a condition or an expression.
* Advancing one column at a time. You cannot advance the execution of your job one column at a time in Trace Debug mode. You can only advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data. However, you cannot see how each column is processed by your job components and how it affects the output data.
* Breaking on a selected line of code. You cannot break on a selected line of code in Trace Debug mode.
You can only break on a trace based on a condition or an expression that involves input data columns.
To break on a selected line of code, you need to use Java Debug mode. 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. You can access this mode by switching to the Java perspective and clicking on the Debug button in the toolbar of the Code view. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]

質問 # 31
You need to call a different Job within a Job you are developing.
Which mechanism allows you to pass the parameters to the lob you want to call?

• A. Java Function paramters
• B. File
• C. Context parameters
• D. CommandLine options

正解：C

解説：
To call a different job within a job you are developing, you can use the tRunJob component. This component allows you to execute another job as a subjob within a parent job. To pass the parameters to the job you want to call, you can use the context parameters. Context parameters are variables that can store values that can be changed at runtime or between different contexts. You can define context parameters in the Contexts tab of your job and assign them values for each context. You can also pass context parameters from the parent job to the child job by using the Context Param tab of the tRunJob component. This way, you can parameterize the properties or expressions of the child job with the values from the parent job.
You do not need to use a file, command line options, or Java function parameters to pass parameters to a different job. These methods are not supported by Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tRunJob properties - 7.3], [Contexts - 7.3]

質問 # 32
Which file should you edit to enable SSL for a JobServer?

• A. Conf/TalendServer.properties
• B. Conf/TalendJobServer.properties
• C. Jsl_stati64.ini
• D. Conf/server.xml

正解：B

解説：
To enable SSL for a JobServer, you need to edit the conf/TalendJobServer.properties file. A JobServer is a server application that allows you to execute jobs remotely from Talend Studio or Talend Administration Center. The conf/TalendJobServer.properties file contains various configuration parameters for your JobServer, such as port number, log level, security options, etc. To enable SSL for your JobServer, you need to set the sslparameter to true and provide the path and password of your keystore file that contains your SSL certificate.
You do not need to edit conf/TalendServer.properties, conf/server.xml, or jsl_static64.ini files. These files are not related to JobServer configuration or SSL settings. The conf/TalendServer.properties file is used to configure Talend Administration Center settings, such as database connection, LDAP authentication, email notification, etc. The conf/server.xml file is used to configure Tomcat server settings, such as connectors, realms, valves, etc. The jsl_static64.ini file is used to configure Java Service Launcher settings, such as service name, description, startup type, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Configuring Talend JobServer - 7.3], [Configuring Talend Administration Center - 7.3],
[Configuring Tomcat - 7.3], [Installing Java Service Launcher - 7.3]

質問 # 33
Which actions can you perform in the configuration panel in Pipeline Designer? Choose 2 answers.

• A. Preview changes made by processors.
• B. Select the settings for a pipeline export.
• C. Display and update dataset connections.
• D. Modify processor values.

正解：C、D

解説：
Comprehensive and Detailed Explanation:
In Talend Pipeline Designer, theconfiguration panelprovides options for managing and modifying the settings of components within a pipeline.
* Modify processor values (Option A):
* Users can adjust values for processors such as filters, joins, transformations, and aggregations within the configuration panel.
* This helps fine-tune data processing rules directly in the pipeline.
* Display and update dataset connections (Option B):
* The configuration panel allows users to change dataset connections, updating the source or target locations of data.
* Users can modify database credentials, file paths, or API endpoints as needed.
Why not other options?
* Option C:The ability to preview changes made by processors is handled in thepreview panel, not the configuration panel.
* Option D:Pipeline export settings are managed separately in theexport settings menu, not in the configuration panel.

質問 # 34
You want to improve the Trust Score of your dataset as a dataset owner. Which actions should you perform? Choose 2 answers.

• A. Improve the quality of the dataset using Pipeline Designer
• B. Change the dataset score manually
• C. Add ratings to the dataset
• D. Use the dataset in an ETL Job

正解：A、C

解説：
Comprehensive and Detailed Explanation:
To enhance the Trust Score of a dataset:
* Improve the quality of the dataset using Pipeline Designer (Option A):
* Utilizing Talend's Pipeline Designer allows you to cleanse, transform, and enrich your data, thereby improving its quality and, consequently, its Trust Score.
* Add ratings to the dataset (Option D):
* Encouraging users to rate the dataset increases its popularity metric, positively impacting the overall Trust Score.
Why not other options?
* Option B: The Trust Score is automatically calculated based on specific metrics; it cannot be manually altered.
* Option C: While using the dataset in ETL jobs indicates its utility, it does not directly influence the Trust Score unless it affects metrics like usage or popularity.

質問 # 35
Which statement describes a Data Preparation recipe?

• A. Dataset designed specifically for export
• B. Datasets created for external applications
• C. List of semantic types associated with a dataset
• D. Set of functions applied to a dataset

正解：D

解説：
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, areciperefers to a sequence of data transformation steps applied to a dataset. These steps can include actions like filtering, cleansing, enriching, and formatting data to prepare it for analysis or reporting. The recipe ensures that the same transformations can be consistently reapplied to the dataset or similar datasets, promoting data consistency and efficiency.
Why not other options?
* Option A:A recipe is not a dataset itself but a set of transformation instructions applied to a dataset.
* Option C:While semantic types are important, a recipe encompasses more than just listing them; it involves actionable transformations.
* Option D:Recipes are not datasets but are applied to datasets to achieve desired transformations.

質問 # 36
After enabling the Observability Metric Collector metric generation located in the \etc\org.talend.ipaas.rt.
observability.cfg, which additional configurations should you apply? Choose 2 answers.

• A. Lifetime
• B. Schedule the metrics generation using CRON based trigger
• C. Configure the time zone
• D. Frequency

正解：A、D

解説：
Comprehensive and Detailed Explanation:
After enabling the Observability Metric Collector in Talend's configuration file (org.talend.ipaas.rt.
observability.cfg), it's essential to set additional parameters to control the behavior of metric collection:
* Frequency (Option C):Determines how often metrics are collected. Setting this ensures that data is gathered at appropriate intervals for monitoring needs.
* Lifetime (Option D):Specifies how long the collected metrics are retained. This helps manage storage and ensures that outdated metrics are purged.
Configuring these parameters ensures that the metric collection aligns with organizational requirements for monitoring and performance analysis.

質問 # 37
Which statements describe the Talend Cloud Data Inventory Trust Score? Choose 2 answers.

• A. Helps data consumers assign a score representing the quality of the dataset.
• B. Aggregates several metrics into a single score.
• C. Scales the Trust Score from 0 to 5.
• D. Scales the Trust Score from 0 to 10.

正解：B、C

解説：
Comprehensive and Detailed Explanation:
The Talend Trust Score is a feature of Talend Cloud Data Inventory that provides an assessment of a dataset's reliability and quality:
* Aggregates several metrics into a single score (Option A):
* The Trust Score combines multiple factors, including validity, completeness, popularity, discoverability, and usage, into a single, comprehensive score. This aggregation helps users quickly gauge the overall trustworthiness of a dataset.
* Scales the Trust Score from 0 to 5 (Option C):
* The Trust Score ranges from 0 to 5, with higher scores indicating better data quality and reliability. This standardized scale allows for easy comparison between datasets.
Why not other options?
* Option B:While data consumers can view and utilize the Trust Score, it is automatically calculated by Talend based on specific metrics; users do not assign this score themselves.
* Option D:The Trust Score does not use a 0 to 10 scale; it specifically ranges from 0 to 5.

質問 # 38
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 HTML Document
• C. Convert Response To XML Document
• D. Convert Response To JSON Document

正解：A

解説：
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.

質問 # 39
How can you create REST API metadata in Talend Studio? Choose 2 answers.

• A. Import it from a JSON file.
• B. Create it manually in Talend Studio.
• C. Import it from Talend API Tester.
• D. Import it from Talend API Designer.

正解：B、D

解説：
Comprehensive and Detailed Explanation:
In Talend Studio, REST API metadata can be created using the following methods:
* Create it manually in Talend Studio (Option A):
* Users can define REST API metadata within Talend Studio by manually specifying API structure, endpoints, HTTP methods, and parameters.
* This method provides full control over the API metadata but requires manual configuration.
* Import it from Talend API Designer (Option B):
* If an API has been designed usingTalend API Designer, it can beimported into Talend Studio.
* This enables reusing the API design directly without manual recreation.
Why not other options?
* Option C (Import from JSON file): Talend Studio does not support direct import of REST API metadata from generic JSON files.
* Option D (Import from Talend API Tester): Talend API Tester is used for testing APIs but does not provide an option to import API definitions into Talend Studio.

質問 # 40
......

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