exam questions

Exam DP-100 All Questions

View all questions & answers for the DP-100 exam

Exam DP-100 topic 3 question 161 discussion

Actual exam question from Microsoft's DP-100
Question #: 161
Topic #: 3
[All DP-100 Questions]

HOTSPOT -

You manage an Azure Machine Learning workspace. You configure an automated machine learning regression training job by using the Azure Machine Learning Python SDK v2.

You configure the regression job by using the following script:



For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Show Suggested Answer Hide Answer
Suggested Answer:

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
phdykd
Highly Voted 1 year, 10 months ago
Yes, Yes, Yes, No
upvoted 9 times
...
vv_bb
Highly Voted 1 year, 6 months ago
Yes, Yes, No, No Take a look here: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-auto-train?view=azureml-api-2&tabs=python#exit-criteria The only concern is the first question: it asks " ... in a specific number of iterations" while it seems in set_limits() you just can set [enable_early_termination = True], but can't define an exact number of iterations.
upvoted 6 times
sl_mslconsulting
1 year ago
The doc you provided does mention a criteria max_trails, which has a default value of 1000.
upvoted 1 times
f2a9aa5
11 months, 2 weeks ago
“score is not improving in a specific no. of trials” we don’t know the exact no. of trials when it terminates. Even if it terminated at 1000 trials (max default) within the 60 minutes, the termination did not happen because the score did not improve. Actually the score always improves as termination policy ensures that, but the termination was a result of max trials rather than drop in score. so NYYN
upvoted 1 times
...
...
...
evangelist
Most Recent 12 months ago
Yes, Yes, Yes, No
upvoted 1 times
...
haby
1 year, 5 months ago
Yes Yes Yes - Firstly, I assume it's a typo since the parameter should be "timeout" not "timeout_minute". Timeout , defines how long, in minutes, your experiment should continue to run. When experiment terminates, all autoML trials will be terminated. Trial has another parameter to control, trial_timeout_minutes, maximum time in minutes that each trial (child job) can run for before it terminates. No
upvoted 2 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...