Confluent Exam CCDAK Topic 1 Question 39 Discussion

Actual exam question for Confluent's CCDAK exam

Question #: 39
Topic #: 1

[All CCDAK Questions]

An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

APurchase as stream, Product as stream, Customer as stream

BPurchase as stream, Product as table, Customer as table

CPurchase as table, Product as table, Customer as table

DPurchase as stream, Product as table, Customer as stream

Show Suggested Answer

Suggested Answer: C

JDBC connector allows one task per table.

by Minna at Jul 29, 2023, 03:25 AM

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Afton

2 days ago

I'll take 'Things I Don't Want to See in My Kafka Cluster' for 500, Alex. A purchase stream? What is this, Black Friday at Walmart?

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Georgene

3 days ago

Option C is the only one that makes sense to me. I mean, who wants to be on the receiving end of a 'purchase stream'? Sounds like a recipe for a data firehose.

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Ngoc

4 days ago

I was totally going to choose option A, but then I realized that's just way too many streams. Maybe if we had a really complex use case, but for a simple ecommerce site, that seems overkill.

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Geoffrey

20 days ago

I see your point, Lemuel. Having Purchase as stream and Product as table could provide more flexibility and scalability in the long run.

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Lemuel

22 days ago

I disagree, I believe B) Purchase as stream, Product as table, Customer as table makes more sense for this scenario.

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Paola

23 days ago

Option D seems interesting, but I'm not sure why we'd want the customer to be a stream. Wouldn't that make it harder to look up customer information?

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Cristy

5 days ago

A) Purchase as stream, Product as stream, Customer as stream

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Izetta

25 days ago

I think A) Purchase as stream, Product as stream, Customer as stream is the natural way to model this data.

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Silva

25 days ago

I think option B is the most natural way to model this data. Purchases are events, but products and customers are more like tables that we need to look up.

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Denny

9 days ago

I think option B is the most natural way to model this data. Purchases are events, but products and customers are more like tables that we need to look up.

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