Discuss Databricks Databricks Machine Learning Associate Exam Topic 4 Question 7

A machine learning engineering team has a Job with three successive tasks. Each task runs a single notebook. The team has been alerted that the Job has failed in its latest run.

Which of the following approaches can the team use to identify which task is the cause of the failure?

ARun each notebook interactively

BReview the matrix view in the Job's runs

CMigrate the Job to a Delta Live Tables pipeline

DChange each Task's setting to use a dedicated cluster

Suggested Answer: B

To identify which task is causing the failure in the job, the team should review the matrix view in the Job's runs. The matrix view provides a clear and detailed overview of each task's status, allowing the team to quickly identify which task failed. This approach is more efficient than running each notebook interactively, as it provides immediate insights into the job's execution flow and any issues that occurred during the run.

Databricks documentation on Jobs: Jobs in Databricks

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15 comments · newest first

Magda 10 months ago

I’m surprised they didn’t mention checking logs first!

Rene 11 months ago

Wait, can changing the cluster settings really help identify the failure?

Yolando 11 months ago

I disagree, migrating to Delta Live Tables seems unnecessary for this.

Britt 11 months ago

Running each notebook interactively sounds tedious but might help.

Elenora 11 months ago

I think option B is the quickest way to spot the issue.

Ilene 12 months ago

Changing each Task's setting to use a dedicated cluster might help isolate the issue, but it feels like overkill for just debugging.

Caren 12 months ago

Migrating to a Delta Live Tables pipeline seems like a big step. I’m not convinced that’s necessary just to find the failure.

Dean 12 months ago

I think reviewing the matrix view in the Job's runs could help us see where it failed. We practiced something similar in our last session.

Dexter 1 year ago

I remember we discussed running notebooks interactively in class, but I'm not sure if that's the most efficient way to pinpoint the failure.

Jutta 1 year ago

The matrix view option sounds promising. That could give me a high-level overview of the job's performance and pinpoint the failing task.

Rory 1 year ago

Using a dedicated cluster for each task could help isolate the issue, but that might be overkill for this scenario.

Leandro 1 year ago

I'm a bit confused by the options. Reviewing the matrix view and migrating to Delta Live Tables don't seem directly related to identifying the failing task.

Gianna 1 year ago

Hmm, this seems straightforward. I think running the notebooks interactively is a good first step to identify the problematic task.

Adrianna 1 year ago

Hmm, this looks like a question about file system block size. I'll need to think through the command used to create the file system and what that might imply about the block size.

Ronald 1 year ago

I'm feeling pretty confident about this one. The item master is a central repository, and we can associate items across organizations. I just need to double-check the details on attribute controls.

Databricks Machine Learning Associate Exam - Topic 4 Question 7 Discussion