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Databricks Certified Data Engineer Professional Exam - Topic 1 Question 2 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Professional exam
Question #: 2
Topic #: 1
[All Databricks Certified Data Engineer Professional Questions]

A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impression led to monitizable clicks.

Which solution would improve the performance?

A)

B)

C)

D)

Show Suggested Answer Hide Answer
Suggested Answer: A

When joining a stream of advertisement impressions with a stream of user clicks, you want to minimize the state that you need to maintain for the join. Option A suggests using a left outer join with the condition that clickTime == impressionTime, which is suitable for correlating events that occur at the exact same time. However, in a real-world scenario, you would likely need some leeway to account for the delay between an impression and a possible click. It's important to design the join condition and the window of time considered to optimize performance while still capturing the relevant user interactions. In this case, having the watermark can help with state management and avoid state growing unbounded by discarding old state data that's unlikely to match with new data.


Contribute your Thoughts:

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Erick
3 months ago
A looks interesting, but I’m leaning towards B.
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Filiberto
3 months ago
Wait, are we sure this will actually improve performance?
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Luann
3 months ago
Not sure about that, C has some solid points too.
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Ilda
4 months ago
Totally agree, B seems like the best choice!
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Lauran
4 months ago
I think Option B uses better indexing.
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Aliza
4 months ago
I recall that partitioning the data correctly can significantly improve performance, but I can't remember which option addresses that best.
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Justine
4 months ago
I think option C might be the right choice, but I'm a bit confused about the differences between the options.
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Cristy
4 months ago
I'm not entirely sure, but I feel like using a broadcast join could help with performance. We practiced something similar in class.
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Ricki
5 months ago
I remember we discussed how joining streams can be tricky, especially with large datasets. I think optimizing the join condition is key.
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Buffy
5 months ago
This is a tough one, but I think I've got a strategy. I'll start by sketching out the data flows for each option, then evaluate them based on factors like latency, scalability, and maintainability.
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Fanny
5 months ago
Okay, let me think this through step-by-step. I want to make sure I fully understand the problem and the tradeoffs of each solution before committing to an answer.
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Hershel
5 months ago
Ah, I see what they're getting at here. Option B looks promising - using a time-based window to correlate the impression and click streams could be a good way to improve performance.
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Tora
5 months ago
Hmm, I'm a bit unsure about this one. The different options seem to have some subtle differences in how they approach the join. I'll need to carefully analyze each one to determine the most efficient solution.
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Louann
5 months ago
This looks like a classic data engineering problem. I think I can tackle this one - the key is to focus on improving performance by optimizing the join process.
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Yan
5 months ago
I'm leaning towards the BFD metrics to the gateway site as the best answer. That seems like the most relevant information the router would need to pick the optimal path.
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Vashti
5 months ago
Okay, let me walk through this step-by-step. If the server crashes, the virtual machine will only be restarted on another server if the high availability flag is enabled. Otherwise, it will remain down until the admin restarts it manually.
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Margot
5 months ago
I'm a bit confused by the wording of the question. What exactly do they mean by "in contrast to"? I'll need to re-read it a few times to make sure I understand.
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Brittni
2 years ago
I agree with Nana, Option B looks like the best choice for improving performance.
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Nana
2 years ago
Option B seems to have a more efficient way of joining the streams based on the image provided.
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Werner
2 years ago
Why do you think Option B is better?
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Nana
2 years ago
I disagree, I believe Option B would be more effective.
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Werner
2 years ago
I think the solution to improve performance is Option A.
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Juliana
2 years ago
I think option D is the way to go, it seems to offer a more scalable solution for correlating ad impressions with clicks.
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Werner
2 years ago
I'm leaning towards option C because it looks like it could potentially enhance the performance of joining the streams.
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Rebeca
2 years ago
I disagree, I believe option B is the better choice as it might offer a more optimized solution for correlating impressions with clicks.
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Quiana
2 years ago
I think the answer is option A because it seems to provide a more efficient way to join the two streams.
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