Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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.

Show Suggested Answer Hide 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
10 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
9 months ago
D) mlflow.log. metric
upvoted 0 times
...
Norah
9 months ago
C) mlflow.log_param
upvoted 0 times
...
Lazaro
10 months ago
A) MLflowClient.log_batch
upvoted 0 times
...
...
Bronwyn
10 months ago
Hmm, I'm torn between A and D. Batch logging or individual metrics? Decisions, decisions.
upvoted 0 times
...
Felton
10 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
10 months ago
A) MLflowClient.log_batch
upvoted 0 times
...
Belen
10 months ago
C) mlflow.log_param
upvoted 0 times
...
Keneth
10 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
10 months ago
Yeah, it helps maximize performance for sure.
upvoted 0 times
...
Fredric
10 months ago
I agree, batch logging is definitely the way to go.
upvoted 0 times
...
...
Ceola
11 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
11 months ago
I think option A) MLflowClient.log_batch is the way to go for maximizing logging performance.
upvoted 0 times
...

Save Cancel