Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

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

Contribute your Thoughts:

Kimbery
4 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
3 months ago
D) mlflow.log. metric
upvoted 0 times
...
Norah
4 months ago
C) mlflow.log_param
upvoted 0 times
...
Lazaro
4 months ago
A) MLflowClient.log_batch
upvoted 0 times
...
...
Bronwyn
5 months ago
Hmm, I'm torn between A and D. Batch logging or individual metrics? Decisions, decisions.
upvoted 0 times
...
Felton
5 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
5 months ago
Wait, you can use a Ouija board with Azure ML? Mind. Blown.
upvoted 0 times
Blondell
4 months ago
C) mlflow.log_param
upvoted 0 times
...
Johnetta
4 months ago
A) MLflowClient.log_batch
upvoted 0 times
...
Belen
4 months ago
C) mlflow.log_param
upvoted 0 times
...
Keneth
4 months ago
A) MLflowClient.log_batch
upvoted 0 times
...
...
Luz
5 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
5 months ago
Option A looks like the way to go. Batch logging is the key to maximizing performance.
upvoted 0 times
Dalene
4 months ago
Yeah, it helps maximize performance for sure.
upvoted 0 times
...
Fredric
4 months ago
I agree, batch logging is definitely the way to go.
upvoted 0 times
...
...
Ceola
5 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
5 months ago
I think option A) MLflowClient.log_batch is the way to go for maximizing logging performance.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77