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

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

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.

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26 comments · newest first

Marylin 10 months ago

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

Skye 10 months ago

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

Sanda 11 months ago

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

Owen 11 months ago

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

Kanisha 11 months ago

Definitely need to use Filter for this!

Lyda 11 months ago

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

Quentin 11 months ago

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

Anglea 12 months ago

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

Pedro 12 months ago

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

Paulina 12 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.

Elfrieda 1 year 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.

Rory 1 year 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.

Lynsey 1 year 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.

Maile 1 year ago

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

Lashawn 1 year ago

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

Verdell 1 year ago

↳ replying to Lashawn

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

Billi 1 year ago

↳ replying to Lashawn

C) Filter

Skye 1 year ago

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

Margurite 1 year ago

I think we should use Filter for this task.

Layla 1 year ago

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

Dyan 1 year ago

↳ replying to Layla

C) Filter

Deangelo 1 year ago

↳ replying to Layla

C) Filter

Pedro 1 year ago

↳ replying to Layla

C) Filter

Margarita 1 year ago

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

Shaniqua 1 year 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.

Mozell 1 year ago

↳ replying to Shaniqua

A) Join

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