Microsoft Exam DP-100 Topic 1 Question 107 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 107
Topic #: 1

[All DP-100 Questions]

You manage an Azure Machine Learning workspace.

You must log multiple metrics by using MLflow.

You need to maximize logging performance.

What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

AMLflowClient.log_batch

Bmlflowlog_metrics

Cmlflow.log_param

Dmlflow.log. metric

Show Suggested Answer

Suggested Answer: A, B

by Mitzie at Jul 07, 2024, 12:52 AM

Limited Time Offer

25%

Off

Get Premium DP-100 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Kimbery

11 months ago

Trick question! The real answer is to use a Ouija board to summon the ghost of MLflow's creator. They'll know the secrets to maximum logging performance.

upvoted 0 times

Thurman

10 months ago

D) mlflow.log. metric

upvoted 0 times

...

Norah

10 months ago

C) mlflow.log_param

upvoted 0 times

...

Lazaro

10 months ago

A) MLflowClient.log_batch

upvoted 0 times

...

Bronwyn

11 months ago

Hmm, I'm torn between A and D. Batch logging or individual metrics? Decisions, decisions.

upvoted 0 times

...

Felton

11 months ago

I personally prefer option C) mlflow.log_param because it allows for logging parameters along with metrics, which can be useful for analysis.

upvoted 0 times

...

Bambi

11 months ago

Wait, you can use a Ouija board with Azure ML? Mind. Blown.

upvoted 0 times

Blondell

10 months ago

C) mlflow.log_param

upvoted 0 times

...

Johnetta

11 months ago

A) MLflowClient.log_batch

upvoted 0 times

...

Belen

11 months ago

C) mlflow.log_param

upvoted 0 times

...

Keneth

11 months ago

A) MLflowClient.log_batch

upvoted 0 times

...

Luz

11 months ago

That's a good point, but I still think option A) is more efficient for logging multiple metrics in batches.

upvoted 0 times

...

Titus

11 months ago

Option A looks like the way to go. Batch logging is the key to maximizing performance.

upvoted 0 times

Dalene

11 months ago

Yeah, it helps maximize performance for sure.

upvoted 0 times

...

Fredric

11 months ago

I agree, batch logging is definitely the way to go.

upvoted 0 times

...

Ceola

12 months ago

I disagree, I believe option D) mlflow.log_metric is the better choice because it directly logs the metric.

upvoted 0 times

...

Luz

12 months ago

I think option A) MLflowClient.log_batch is the way to go for maximizing logging performance.

upvoted 0 times

...