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
29 days 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
Norah
22 hours ago
C) mlflow.log_param
upvoted 0 times
...
Lazaro
13 days ago
A) MLflowClient.log_batch
upvoted 0 times
...
...
Bronwyn
1 months ago
Hmm, I'm torn between A and D. Batch logging or individual metrics? Decisions, decisions.
upvoted 0 times
...
Felton
1 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
1 months ago
Wait, you can use a Ouija board with Azure ML? Mind. Blown.
upvoted 0 times
Blondell
13 days ago
C) mlflow.log_param
upvoted 0 times
...
Johnetta
17 days ago
A) MLflowClient.log_batch
upvoted 0 times
...
Belen
21 days ago
C) mlflow.log_param
upvoted 0 times
...
Keneth
27 days ago
A) MLflowClient.log_batch
upvoted 0 times
...
...
Luz
1 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
1 months ago
Option A looks like the way to go. Batch logging is the key to maximizing performance.
upvoted 0 times
Dalene
15 days ago
User 2: Yeah, it helps maximize performance for sure.
upvoted 0 times
...
Fredric
16 days ago
User 1: I agree, batch logging is definitely the way to go.
upvoted 0 times
...
...
Ceola
2 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
2 months ago
I think option A) MLflowClient.log_batch is the way to go for maximizing logging performance.
upvoted 0 times
...

Save Cancel