Databricks Machine Learning Associate Exam - Topic 4 Question 7 Discussion

Actual exam question for Databricks's Databricks Machine Learning Associate exam

Question #: 7
Topic #: 4

[All Databricks Machine Learning Associate Questions]

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

Show Suggested Answer

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

by Lashonda at May 28, 2024, 02:05 AM

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Magda

3 months ago

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

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Rene

3 months ago

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

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Yolando

3 months ago

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

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Britt

4 months ago

Running each notebook interactively sounds tedious but might help.

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Elenora

4 months ago

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

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Ilene

4 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.

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Caren

4 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.

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Dean

4 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.

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Dexter

5 months 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.

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Jutta

5 months 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.

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Rory

5 months ago

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

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Leandro

5 months 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.

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Gianna

5 months ago

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

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Adrianna

5 months 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.

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Ronald

5 months 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.

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