Independence Day Deal! Unlock 25% OFF Today – Limited-Time Offer - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Databricks Exam Databricks Certified Data Engineer Professional Topic 6 Question 25 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Professional exam
Question #: 25
Topic #: 6
[All Databricks Certified Data Engineer Professional Questions]

Which statement describes the default execution mode for Databricks Auto Loader?

Show Suggested Answer Hide Answer
Suggested Answer: D

When triggering a job run using the Databricks CLI, the run_id field in the response represents a globally unique identifier for that particular run of the job. This run_id is distinct from the job_id. While the job_id identifies the job definition and is constant across all runs of that job, the run_id is unique to each execution and is used to track and query the status of that specific job run within the Databricks environment. This distinction allows users to manage and reference individual executions of a job directly.


Contribute your Thoughts:

Emily
29 days ago
Imagine if Databricks Auto Loader could also do your taxes and walk your dog. Now that's a feature-rich product!
upvoted 0 times
...
Janessa
1 months ago
Directory querying all valid files? That sounds like a lot of work. I'm going to have to go with Option A on this one.
upvoted 0 times
...
Loren
1 months ago
Webhook triggers and automatic merging of data sound cool, but that's probably not the default behavior for Databricks Auto Loader. I'm going with Option A.
upvoted 0 times
Viola
5 days ago
User 3: Option A does seem like the most straightforward choice for default behavior.
upvoted 0 times
...
Daren
11 days ago
User 2: Yeah, I agree. It makes sense that new files are incrementally loaded into the target Delta Lake table.
upvoted 0 times
...
Lashaunda
15 days ago
User 1: I think Option A is the default execution mode for Databricks Auto Loader.
upvoted 0 times
...
...
Gerald
2 months ago
I'm not sure about the difference between 'incrementally and idempotently' and 'incrementally and impotently'. That's a bit confusing, but I think Option A is still the best choice here.
upvoted 0 times
Ellen
6 days ago
Let's go with Option A then. It seems to be the most straightforward and reliable method for handling new data in Databricks Auto Loader.
upvoted 0 times
...
Rashida
9 days ago
I'm leaning towards Option A as well. It sounds like the most logical approach for loading new files into the target Delta Lake table.
upvoted 0 times
...
Kami
14 days ago
Yeah, I agree. Option A seems to be the safest choice for the default execution mode of Databricks Auto Loader.
upvoted 0 times
...
Karl
26 days ago
I think 'incrementally and idempotently' means files are loaded without duplication, while 'incrementally and impotently' might be a typo.
upvoted 0 times
...
...
Dustin
2 months ago
Option A seems like the correct default execution mode for Databricks Auto Loader. It makes sense that it would identify new files by listing the input directory and load them incrementally and idempotently into the target Delta Lake table.
upvoted 0 times
Annamaria
1 months ago
User 2: Yeah, it makes sense to identify new files by listing the input directory and loading them incrementally into the target table.
upvoted 0 times
...
Jaime
1 months ago
User 1: I think option A is the default execution mode for Databricks Auto Loader.
upvoted 0 times
...
...
Rosamond
2 months ago
Hmm, that makes sense. I can see how that would be a more efficient way to track new files.
upvoted 0 times
...
Katheryn
2 months ago
I disagree, I believe it is B because it involves cloud vendor-specific queue storage.
upvoted 0 times
...
Rosamond
3 months ago
I think the default execution mode for Databricks Auto Loader is A.
upvoted 0 times
...

Save Cancel