New Year Sale ! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Databricks Exam Databricks-Certified-Data-Engineer-Associate 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?

Show Suggested Answer Hide 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

Limited Time Offer

25%

Off

Get Premium Databricks-Certified-Data-Engineer-Associate Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Lynna
2 months 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...
upvoted 0 times
Anthony
5 days 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.
upvoted 0 times
...
Stefania
13 days ago
C) All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
upvoted 0 times
...
Kasandra
14 days 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.
upvoted 0 times
...
...
Jolene
2 months 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.
upvoted 0 times
...
Johnathon
2 months 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.
upvoted 0 times
...
Oliva
2 months 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.
upvoted 0 times
...
Denae
2 months 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.
upvoted 0 times
...
Frank
2 months 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*
upvoted 0 times
...
Hubert
2 months 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.
upvoted 0 times
Evan
20 days ago
Definitely. Let's go with D for our prediction.
upvoted 0 times
...
Viola
1 months ago
So, it's settled then. D is the most logical choice for the expected outcome.
upvoted 0 times
...
Precious
1 months ago
Yeah, I agree. It would be more efficient to tie the compute resources to the updates.
upvoted 0 times
...
Evelynn
2 months ago
I think D makes sense. The compute resources should be deployed for the update.
upvoted 0 times
...
...
Daniel
2 months 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.
upvoted 0 times
...
Val
2 months 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.
upvoted 0 times
Annamae
27 days ago
That makes sense. It's important to have the resources available for further testing.
upvoted 0 times
...
Virgilio
28 days ago
Yes, I agree. The compute resources will persist for additional testing.
upvoted 0 times
...
Ernest
1 months ago
I think C is the correct option.
upvoted 0 times
...
...
Darell
3 months 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.
upvoted 0 times
...
Carmen
3 months ago
I agree with Candra. The compute resources will persist for additional testing.
upvoted 0 times
...
Annmarie
3 months 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.
upvoted 0 times
Dell
2 months ago
Yes, that sounds right. It's important to have the resources available for testing and troubleshooting.
upvoted 0 times
...
Chantay
2 months ago
I agree with you. It makes sense that the compute resources would stay active for testing purposes.
upvoted 0 times
...
Rima
2 months 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.
upvoted 0 times
...
...
Candra
3 months ago
I think the answer is B. The datasets will be updated at set intervals until the pipeline is shut down.
upvoted 0 times
...

Save Cancel