Databricks Exam Databricks-Machine-Learning-Professional Topic 1 Question 25 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam

Question #: 25
Topic #: 1

[All Databricks-Machine-Learning-Professional Questions]

A machine learning engineer wants to programmatically create a new Databricks Job whose schedule depends on the result of some automated tests in a machine learning pipeline.

Which of the following Databricks tools can be used to programmatically create the Job?

AMLflow APIs

BAutoML APIs

CMLflow Client

DJobs cannot be created programmatically

EDatabricks REST APIs

Show Suggested Answer

Suggested Answer: E

by Sabina at Sep 19, 2024, 01:01 AM

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Sylvia

2 months ago

Hmm, this is a tough one. I'm torn between C and E, but I think E is the winner here. The Databricks REST APIs are just too powerful to ignore.

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Lavonda

11 days ago

Let's go with E) Databricks REST APIs then.

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Julio

13 days ago

I agree with you, E) Databricks REST APIs are very powerful.

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Alpha

20 days ago

I would go with A) MLflow APIs for creating the Job.

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Winfred

1 months ago

I think C) MLflow Client is the way to go.

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Gail

2 months ago

I'm going to go with E. The Databricks REST APIs are the way to go for programmatic job creation. I mean, what else would you use, a crystal ball?

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Melodie

2 months ago

This question is a piece of cake! E is the obvious answer. Who wouldn't use the Databricks REST APIs for this?

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Peter

2 months ago

D can't be right, because the question specifically states that the job needs to be created programmatically. That rules out D.

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Denise

2 months ago

I'm pretty sure the answer is C. The MLflow Client provides a Python API for managing MLflow entities, including jobs.

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Kent

13 days ago

Oh, thanks for clarifying!

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Cassandra

14 days ago

Actually, the correct answer is C) MLflow Client

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Blossom

20 days ago

No, I believe it's E) Databricks REST APIs

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Thea

1 months ago

I think it's A) MLflow APIs

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Caren

2 months ago

I think the answer is E. The Databricks REST APIs allow for programmatic creation of jobs, which is what the question is asking for.

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Nenita

2 months ago

I heard the Databricks engineers use their own REST APIs to create jobs while sipping on fancy lattes. #DeveloperLifestyle

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Sherly

1 months ago

That's interesting! I didn't know they used REST APIs for that. #DeveloperLifestyle

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Lynelle

2 months ago

Yes, you are correct. Databricks engineers use their REST APIs to create jobs programmatically.

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Narcisa

2 months ago

I think the answer is E) Databricks REST APIs.

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Louvenia

2 months ago

E all the way! Databricks REST APIs are the way to go. Anything else would be like trying to hammer a nail with a feather.

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Laurel

1 months ago

Using MLflow APIs might also be a good option depending on the specific requirements of the machine learning pipeline.

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Louann

1 months ago

I agree, Databricks REST APIs are definitely the best choice for programmatically creating a Job.

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Jordan

1 months ago

E all the way! Databricks REST APIs are the way to go. Anything else would be like trying to hammer a nail with a feather.

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Fannie

2 months ago

I'm not sure, but I think E) Databricks REST APIs could also be used for this task.

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Mignon

3 months ago

I agree with Jamal, using MLflow APIs makes sense for creating the Job programmatically.

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Laticia

3 months ago

D? Really? Jobs can definitely be created programmatically. That's just silly. I'm going with E.

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Yuonne

2 months ago

I agree, E) Databricks REST APIs seem like the right choice for this task.

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Jacquelyne

2 months ago

D? Really? Jobs can definitely be created programmatically. That's just silly. I'm going with E.

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Audry

2 months ago

I disagree, I believe C) MLflow Client is the tool to use for this.

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Cecil

2 months ago

I think A) MLflow APIs can be used to programmatically create the Job.

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Tamekia

3 months ago

Hmm, I'm not too sure about this one. Maybe C? MLflow Client could be a good choice, but I'm not 100% confident.

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Tresa

3 months ago

I think the answer is E. Databricks REST APIs. That's the most versatile option for programmatically creating jobs.

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Carri

2 months ago

I think MLflow Client might be useful too, but Databricks REST APIs seem to be the most popular choice.

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Mickie

2 months ago

MLflow APIs could also be a good option to consider for programmatically creating the job.

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Rex

2 months ago

I agree, using Databricks REST APIs would be the best choice for creating the job based on automated tests.

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Carylon

3 months ago

I think the answer is E. Databricks REST APIs. That's the most versatile option for programmatically creating jobs.

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Jamal

3 months ago

I think the answer is A) MLflow APIs.

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