Databricks Certified Data Engineer Associate Exam - Topic 5 Question 38 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam

Question #: 38
Topic #: 5

[All Databricks Certified Data Engineer Associate Questions]

A Delta Live Table pipeline includes two datasets defined using streaming live table. Three datasets are defined against Delta Lake table sources using live table.

The table is configured to run in Production mode using the Continuous Pipeline Mode.

What is the expected outcome after clicking Start to update the pipeline assuming previously unprocessed data exists and all definitions are valid?

AAll datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

BAll datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

CAll datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

DAll datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

Show Suggested Answer

Suggested Answer: D

In Delta Live Tables (DLT), when configured to run in Continuous Pipeline Mode, particularly in a production environment, the system is designed to continuously process and update data as it becomes available. This mode keeps the compute resources active to handle ongoing data processing and automatically updates all datasets defined in the pipeline at predefined intervals. Once the pipeline is manually stopped, the compute resources are terminated to conserve resources and reduce costs. This mode is suitable for production environments where datasets need to be kept up-to-date with the latest data.

Reference: Databricks documentation on Delta Live Tables: Delta Live Tables Guide

by Kirk at Sep 18, 2024, 05:00 PM

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Layla

3 months ago

So, the pipeline just keeps running until we stop it? That's interesting!

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Marcelle

3 months ago

All datasets updating at intervals sounds correct!

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Ocie

3 months ago

Wait, are we sure about the compute resources part?

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Willetta

4 months ago

I think it's option D! Makes the most sense.

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Natalie

4 months ago

Continuous Pipeline Mode means updates keep happening, right?

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Tyra

4 months ago

I believe the pipeline keeps running and updating at intervals, so I think option D sounds right.

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Chanel

4 months ago

I feel like the datasets should update continuously, but I can't recall if they shut down after one update or keep going.

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Maynard

4 months ago

I think I practiced a question similar to this, and it mentioned that the compute resources would persist for testing. That makes me lean towards option B.

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Margurite

5 months ago

I remember something about continuous pipelines, but I'm not sure if they update at intervals or just once.

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Jamie

5 months ago

This is a good test of my understanding of Delta Live Tables. I'll need to double-check the details, but I believe the correct answer is option D - the datasets will be updated at set intervals, and the compute resources will be deployed for the update and then terminated when the pipeline is stopped.

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Julianna

5 months ago

Okay, I think I've got it. Since the pipeline is in Continuous mode, the datasets will be updated at set intervals until the pipeline is stopped. And the compute resources will persist to allow for additional testing, based on the information provided. I'll go with option B.

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Launa

5 months ago

Hmm, the question mentions the pipeline is set to run in Continuous mode, so I'm guessing the datasets will be updated at set intervals rather than just once. But I'm not sure about the compute resource behavior.

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Yuriko

5 months ago

This seems like a tricky one! I'll need to carefully read through the details about the pipeline configuration to figure out the expected outcome.

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Nicolette

5 months ago

Hmm, this is a tricky one. I think the key here is to focus on the interactions between the three significant variables, A, B, and C. Creating interaction terms could potentially help increase the R-squared without adding any new variables. That might be a good approach to try.

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Lynna

1 year ago

Is it just me, or does this question sound like a riddle from a tech-savvy sphinx? 'What updates the datasets, shuts down, and yet persists?' Hmm...

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Anthony

1 year ago

D) All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

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Stefania

1 year ago

C) All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

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Kasandra

1 year ago

B) All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

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Jolene

1 year ago

D seems like the most logical answer to me. Updating the datasets at intervals and deploying the compute resources only when needed makes the most sense.

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Johnathon

1 year ago

Haha, I'm going with C. I just love the idea of the pipeline shutting down after a single update, like it's tired of working and just wants to take a nap.

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Oliva

1 year ago

I think B is the right answer. The datasets will be updated at set intervals, and the compute resources will persist to allow for additional testing.

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Denae

1 year ago

The correct answer is D. The pipeline will update the datasets at set intervals until it's shut down, and the compute resources will be deployed for the update and terminated when the pipeline is stopped.

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Frank

1 year ago

This is a tough one, but I think I'll go with D. Gotta love those on-demand compute resources, am I right? *winks*

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Hubert

1 year ago

Hmm, I'm not sure. Probably B or D, but I'm leaning towards D. Seems more logical that the compute resources would be tied to the updates.

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Evan

1 year ago

Definitely. Let's go with D for our prediction.

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Viola

1 year ago

So, it's settled then. D is the most logical choice for the expected outcome.

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Precious

1 year ago

Yeah, I agree. It would be more efficient to tie the compute resources to the updates.

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Evelynn

1 year ago

I think D makes sense. The compute resources should be deployed for the update.

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Daniel

1 year ago

D seems like the correct answer. The datasets will be updated at intervals, and the compute resources will only be deployed during the updates, then terminated when the pipeline stops.

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Val

1 year ago

C looks good to me. The datasets will be updated once and the pipeline will shut down, but the compute resources will stick around for more testing.

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Annamae

1 year ago

That makes sense. It's important to have the resources available for further testing.

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Virgilio

1 year ago

Yes, I agree. The compute resources will persist for additional testing.

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Ernest

1 year ago

I think C is the correct option.

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Darell

1 year ago

I'm not sure, but I think it might be D. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

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Carmen

1 year ago

I agree with Candra. The compute resources will persist for additional testing.

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Annmarie

1 year ago

I think the answer is B. The pipeline will continuously update the datasets at set intervals until it's shut down, and the compute resources will persist for further testing.

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Dell

1 year ago

Yes, that sounds right. It's important to have the resources available for testing and troubleshooting.

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Chantay

1 year ago

I agree with you. It makes sense that the compute resources would stay active for testing purposes.

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Rima

1 year ago

I think the answer is B. The pipeline will continuously update the datasets at set intervals until it's shut down, and the compute resources will persist for further testing.

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Candra

1 year ago

I think the answer is B. The datasets will be updated at set intervals until the pipeline is shut down.

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