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Talend Exam Talend-Core-Developer Topic 2 Question 5 Discussion

Actual exam question for Talend's Talend-Core-Developer exam
Question #: 5
Topic #: 2
[All Talend-Core-Developer Questions]

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

Show Suggested Answer Hide Answer
Suggested Answer: C

Comprehensive and Detailed Explanation:

To filter customer records based on first name containing 'Tom' and age greater than 18, the Filter processor is the correct choice.

Filter (Option C) -- Correct Answer:

The Filter processor allows users to set conditional rules to 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.


Contribute your Thoughts:

Ammie
3 days ago
B) Aggregate? Really? We're looking for a list of customers, not some fancy statistical analysis. Keep it simple, people.
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Patrick
4 days ago
D) Data sampling? Are you kidding me? We need all the customers, not just a sample. This isn't a guessing game, folks.
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Shakira
6 days ago
I would go with Filter as well, it's the most straightforward option for this scenario.
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Earleen
9 days ago
I agree, C) Filter is the correct answer. Who wants to sample data when you can just filter it? Gotta love efficient code!
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Belen
11 days ago
I think Join could also work, but Filter is more specific to the criteria given.
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Evangelina
19 days ago
I agree with Joanne, Filter seems like the right choice.
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Bulah
20 days ago
C) Filter is the way to go here. We need to filter the customers by first name and age, not join or aggregate the data.
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Lewis
7 days ago
Filter is the way to go here. We need to filter the customers by first name and age, not join or aggregate the data.
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Ciara
9 days ago
Filter is the way to go here. We need to filter the customers by first name and age, not join or aggregate the data.
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Joanne
28 days ago
I think we should use Filter for this task.
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