TALEND-CORE-DEVELOPER TRAINING SOLUTIONS - ORIGINAL TALEND-CORE-DEVELOPER QUESTIONS

Talend-Core-Developer Training Solutions - Original Talend-Core-Developer Questions

Talend-Core-Developer Training Solutions - Original Talend-Core-Developer Questions

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Tags: Talend-Core-Developer Training Solutions, Original Talend-Core-Developer Questions, Talend-Core-Developer PDF Questions, Talend-Core-Developer Authorized Test Dumps, Examcollection Talend-Core-Developer Dumps Torrent

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Talend Core Certified Developer Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
What is the generic Input component used for in a Joblet design?

  • A. Triggering a Joblet
  • B. Carrying data into a subJob
  • C. Carrying data into a Joblet
  • D. Triggering a subJob

Answer: C

Explanation:
The generic Input component used for in a Joblet design is the tJobletInput component. This component is used to carry data into a Joblet from another component in the job that contains the Joblet. A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. 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 output components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you to define schemas and triggers for your Joblet without depending on specific components.
The tJobletInput component is not used for triggering a Joblet, triggering a subjob, or carrying data into a subjob. These are different concepts and functionalities in Talend Studio. A trigger is a link that activates a subjob or a component based on a condition or an event. A subjob is a part of a job that consists of one or more components connected by data flows or triggers. A subjob can be triggered by another subjob using triggers such as OnSubjobOk, OnSubjobError, Run if, etc. A subjob can also carry data into another subjob using data flows such as main, lookup, reject, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletInput properties - 7.3], [Joblets - 7.3], [Triggers - 7.3]


NEW QUESTION # 45
You need a list of all customers whose first name contains "Tom" and who are older than 18. Which processor should be used?

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

Answer: D

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 # 46
Which type of task can be added to a plan in Talend Management Console?

  • A. Data services
  • B. Big Data tasks
  • C. Routes
  • D. Jobs

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In Talend Management Console (TMC), aplanis a sequence of tasks executed in a defined order. The types of tasks that can be added to a plan include:
* Jobs (Option D):Standard data integration tasks designed in Talend Studio.
* Big Data tasks (Option B):Tasks involving big data processing.
* Routes (Option C):Tasks related to messaging routes.
However,Data services (Option A)refer to web services and are not typically added as tasks within a plan.


NEW QUESTION # 47
User A shared a connection with User B. User B used the shared connection and created Dataset_1. User A stops sharing the connection with User B. Which statement is true about access to Dataset_1?

  • A. User A has full access to Dataset_1.
  • B. User B has no access to Dataset_1.
  • C. User B has full access to Dataset_1.
  • D. User B has limited access to Dataset_1.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Inventory, when a user creates a dataset using a shared connection, the following applies:
* User B has full access to Dataset_1 (Option D):
* Once User B creates Dataset_1 using the shared connection, they become the owner of that dataset. Even if User A later revokes access to the connection, User B retains full access to Dataset_1. The dataset's accessibility is independent of the connection's sharing status after its creation.
Why not other options?
* Option A:User B's access to Dataset_1 is not limited; they have full ownership and control.
* Option B:Revoking the connection does not remove User B's access to datasets they have already created.
* Option C:User A's access to Dataset_1 depends on the sharing settings applied by User B; by default, User A does not have access unless granted.


NEW QUESTION # 48
What are the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility? Choose 3 answers.

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

Answer: A,D,E

Explanation:
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.


NEW QUESTION # 49
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