Talend-Core-Developer Exam - Topic 7 Question 12 Discussion

Actual exam question for Talend's Talend-Core-Developer exam

Question #: 12
Topic #: 7

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

AJoin

BAggregate

CFilter

DData sampling

Show Suggested 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.

by Sharee at Jul 31, 2025, 07:49 PM

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Marylin

3 months ago

Wait, why would you use Join? That seems unnecessary.

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Skye

3 months ago

I think Join could work too, but Filter is more straightforward.

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Sanda

3 months ago

Aggregate doesn’t fit here at all, right? Just checking!

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Owen

3 months ago

I’m surprised this isn’t a trick question! Filter seems too obvious.

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Kanisha

3 months ago

Definitely need to use Filter for this!

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Lyda

4 months ago

Data sampling doesn't seem right for this question, but I'm confused about whether to choose Filter or Aggregate.

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Quentin

4 months ago

I practiced a similar question last week, and I think we definitely need to apply some kind of filter here.

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Anglea

4 months ago

I'm not entirely sure, but I remember something about joins being used for combining data, not just filtering.

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Pedro

4 months ago

I think we need to filter the customers based on their first name and age, so maybe it's option C?

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Paulina

4 months ago

I think Filter is the way to go. We just need to apply the right conditions to the customer data to get the desired list.

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Elfrieda

5 months ago

Join seems like the obvious choice here. We need to combine the customer data with some age information to get the results we want.

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Rory

5 months ago

I'm a bit unsure about this one. I'm not sure if I should use Join or Filter. I'll have to think it through carefully.

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Lynsey

5 months ago

Hmm, this seems like a straightforward filtering task. I'd probably go with option C, Filter, to get the list of customers with first names containing "Tom" and who are over 18.

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Maile

5 months ago

I think Join could also work, as we need to combine data from different sources.

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Lashawn

7 months ago

D) Data sampling? Hmm, I don't think we need to sample the data here. We want the full list of matching cusShaniquaers.

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Verdell

5 months ago

D) Data sampling? Hmm, I don't think we need to sample the data here. We want the full list of matching customers.

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Billi

6 months ago

C) Filter

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Skye

7 months ago

I agree with Margurite, Filter seems like the right choice.

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Margurite

7 months ago

I think we should use Filter for this task.

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Layla

7 months ago

A) Join? Are we trying to combine cusShaniquaer data with another dataset? That's not what this question is asking.

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Dyan

5 months ago

C) Filter

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Deangelo

5 months ago

C) Filter

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Pedro

6 months ago

C) Filter

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Margarita

7 months ago

B) Aggregate? Really? What are we, counting the number of Shaniquas or something?

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Shaniqua

7 months ago

C) Filter is the correct answer here. We need to filter the cusShaniquaers whose first name contains 'Shaniqua' and who are older than 18.

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Mozell

7 months ago

A) Join

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