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Exam DP-100 topic 1 question 30 discussion

Actual exam question from Microsoft's DP-100
Question #: 30
Topic #: 1
[All DP-100 Questions]

You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values.
You want to make sure that automated machine learning is configured as follows:
✑ missing values must be automatically imputed.
✑ categorical features must be encoded as part of the training task.
Which of the following actions should you take?

  • A. You should make use of the featurization parameter with the 'auto' value pair.
  • B. You should make use of the featurization parameter with the 'off' value pair.
  • C. You should make use of the featurization parameter with the 'on' value pair.
  • D. You should make use of the featurization parameter with the 'FeaturizationConfig' value pair.
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Suggested Answer: A 🗳️

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tushy
10 months, 4 weeks ago
In exam 14-01-2023
upvoted 2 times
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james2033
1 year, 1 month ago
Selected Answer: A
The anwser is clear. Question keyword 'automatically imputed' . Answer keyword '_auto_ value pair' . https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-auto-features?view=azureml-api-1#configure-featurization
upvoted 3 times
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endeesa
1 year, 6 months ago
Selected Answer: A
Answer is A, if you set featurization to "auto", azure ml will do this for you https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-auto-features?view=azureml-api-1#configure-featurization
upvoted 4 times
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MarinaMijailovic
1 year, 7 months ago
A) AUTO ML will handle the necessary preprocessing steps, such as imputing missing values and encoding categorical features, before training the regression model.
upvoted 2 times
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lookaaaa
2 years ago
Selected Answer: A
"on" is not an option, "auto" is
upvoted 2 times
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JTWang
2 years, 1 month ago
Selected Answer: A
A is correct. https://learn.microsoft.com/zh-tw/azure/machine-learning/how-to-configure-auto-features#automatic-featurization
upvoted 2 times
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exnaniantwort
2 years, 2 months ago
The following table shows the accepted settings for featurization in the AutoMLConfig class: Featurization configuration Description "featurization": 'auto' Specifies that, as part of preprocessing, data guardrails and featurization steps are to be done automatically. This setting is the default. "featurization": 'off' Specifies that featurization steps are not to be done automatically. "featurization": 'FeaturizationConfig' Specifies that customized featurization steps are to be used. Learn how to customize featurization.
upvoted 1 times
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ning
2 years, 5 months ago
Selected Answer: A
On is not an option
upvoted 2 times
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pancman
2 years, 7 months ago
Selected Answer: A
I change my answer, ON is not an option under featurization. Auto is correct.
upvoted 3 times
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pancman
2 years, 7 months ago
Selected Answer: C
They key word here is that you want to "ensure". Therefore, you need to turn the featurization option ON. Auto is not the correct answer. If you set it to auto, it is at the discretion of Auto ML to do the required actions stated in the question.
upvoted 1 times
ning
2 years, 5 months ago
I do not think "on" is an option 1. auto --> correct answer here 2. off --> nothing happens 3. an object of FeaturizationConfig class type --> use the special setting
upvoted 2 times
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