Exam DP-100 topic 3 question 90 discussion

Actual exam question from Microsoft's DP-100

Question #: 90
Topic #: 3

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You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml- compute that references the target compute cluster.
Solution: Run the following code:

Does the solution meet the goal?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: B 🗳️
There is a missing line: conda_packages=['scikit-learn'], which is needed.
Correct example:
sk_est = Estimator(source_directory='./my-sklearn-proj',
script_params=script_params,
compute_target=compute_target,
entry_script='train.py',
conda_packages=['scikit-learn'])
Note:

The Estimator class represents a generic estimator to train data using any supplied framework.
This class is designed for use with machine learning frameworks that do not already have an Azure Machine Learning pre-configured estimator. Pre-configured estimators exist for Chainer, PyTorch, TensorFlow, and SKLearn.
Example:
from azureml.train.estimator import Estimator
script_params = {
# to mount files referenced by mnist dataset
'--data-folder': ds.as_named_input('mnist').as_mount(),
'--regularization': 0.8
}
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.estimator.estimator

by prashantjoge at May 27, 2021, 10:19 p.m.

Comments

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walman

Highly Voted 2 years, 8 months ago

should this be NO because it "need to configure the run to ensure that the environment includes the required packages for model training"?

upvoted 6 times

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evangelist

Most Recent 4 months, 3 weeks ago

Selected Answer: B

correct code: from azureml.train.estimator import Estimator from azureml.core import Environment env = Environment.from_conda_specification(name='myenv', file_path='path_to_conda_dependencies.yml') sk_est = Estimator(source_directory='./scripts', compute_target=aml-compute, entry_script='train.py', environment_definition=env)

upvoted 1 times

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prashantjoge

3 years, 5 months ago

deprecated, oos

upvoted 2 times

levm39

3 years, 4 months ago

why is it deprecated?

upvoted 1 times

Minghon

3 years, 4 months ago

He may mean the Estimator class is deprecated..., Please apply ScriptRunConfig class instead according to the official document.

upvoted 5 times

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