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

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

Question #: 5
Topic #: 2

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 Mitsue at Mar 21, 2025, 12:00 AM

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Ammie

2 months 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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Stevie

20 days ago

A) Join is not necessary, we just need to filter the data.

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Danilo

1 months ago

C) Filter would be the best option for this task.

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Patrick

2 months 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

2 months ago

I would go with Filter as well, it's the most straightforward option for this scenario.

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Earleen

2 months 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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Mike

22 hours ago

A) Join

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Carissa

2 days ago

D) Data sampling

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Alyce

5 days ago

C) Filter

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Socorro

16 days ago

B) Aggregate

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Tish

1 months ago

A) Join

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Belen

2 months ago

I think Join could also work, but Filter is more specific to the criteria given.

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Evangelina

2 months ago

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

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Bulah

2 months 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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Jose

1 months ago

Filter makes sense, it will help us narrow down the customers based on the conditions given.

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Isaac

1 months ago

I agree, using Filter is the most efficient way to get the list of customers with the specified criteria.

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Reyes

1 months ago

Data sampling wouldn't work in this case, we need to specifically target customers with 'Tom' in their first name and are older than 18.

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Daron

1 months ago

I agree, using Filter will help us narrow down the list of customers with the specific criteria we need.

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Lewis

2 months 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

2 months 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

2 months ago

I think we should use Filter for this task.

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