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Microsoft DP-100 Exam - Topic 3 Question 122 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 122
Topic #: 3
[All DP-100 Questions]

You manage an Azure Machine Learning workspace.

You plan to irain a natural language processing (NLP) tew classification model in multiple languages by using Azure Machine learning Python SDK v2. You need to configure the language of the text classification job by using automated machine learning. Which method of the TextClassifkationlob class should you use?

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Suggested Answer: B

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Vivan
3 months ago
I didn't even know there were so many options!
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Aileen
3 months ago
Nope, it's definitely not set_sweep.
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Zachary
3 months ago
Wait, are you sure? I thought it might be set_featurization.
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Josphine
4 months ago
Agreed, set.data is the way to go!
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Chaya
4 months ago
I think it's definitely set.data for configuring languages.
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Graham
4 months ago
I thought "set_training_parameters" was more about the model's training settings rather than language configuration, but I could be wrong.
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Latricia
4 months ago
I feel like "set_featurization" could be the right choice since it sounds like it deals with how the text is processed, but I’m not completely confident.
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Royce
4 months ago
I remember practicing a similar question where we had to set up data for a model, but I can't recall if that was the same as configuring language.
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Quiana
5 months ago
I think the method to configure the language might be related to setting parameters, but I'm not entirely sure which one it is.
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Britt
5 months ago
This seems straightforward enough. Based on the information provided, I believe the correct answer is "set_featurization", as that method is likely used to configure the language-specific text processing for the model.
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Ammie
5 months ago
I'm a bit confused by the wording of the question. Is it asking about setting the language for the entire job, or just for the text classification model? I'll need to clarify that before I can confidently select an answer.
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Ilda
5 months ago
Okay, let me think this through. The question mentions using automated machine learning, so I'm guessing the method we need is related to that. I'll have to double-check the documentation.
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Gracia
5 months ago
Hmm, this looks like a tricky one. I'll need to carefully review the TextClassificationJob class methods to determine which one is used to configure the language.
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Ettie
12 months ago
Hey, at least we're not being asked to configure the language of a quantum machine learning model. That would be a real head-scratcher! *laughs*
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Orville
12 months ago
I'm going to go with C) set_sweep. It's the only option that sounds remotely related to language configuration, even if it's a bit of a stretch. *shrugs*
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Shantay
11 months ago
User2: Yeah, that makes sense. Let's go with that.
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Alesia
11 months ago
User1: I think C) set_sweep is the way to go.
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Jannette
1 year ago
I'm not sure, but I think it might be C) set_sweep to automate the language configuration process.
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Gerardo
1 year ago
I agree with Melynda, because setting the training parameters is crucial for configuring the language.
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Ellsworth
1 year ago
I bet the correct answer is A) set.data. I mean, it's just so obvious, right? *chuckles* Okay, maybe not. But I'm going with it anyway.
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Stephaine
12 months ago
User 2: I'm not so sure about that, but let's go with it.
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Terrilyn
12 months ago
User 1: I think the correct answer is A) set.data.
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Melynda
1 year ago
I think the answer is D) set_training_parameters.
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Buddy
1 year ago
Hmm, I'm not sure. But I feel like the answer is probably hidden in some obscure Azure ML documentation, as usual. *sigh*
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Ahmed
1 year ago
D) set_training_parameters seems more appropriate to me. Isn't that where you'd configure the parameters for the training process?
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Royal
11 months ago
D) set_training_parameters seems more appropriate to me. Isn't that where you'd configure the parameters for the training process?
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Craig
11 months ago
D) set_training_parameters
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Brandon
11 months ago
C) set_ sweep
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Breana
11 months ago
B) set_featurization
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Francene
12 months ago
A) set.data
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Virgie
1 year ago
I think the answer is B) set_featurization. The question mentions configuring the language of the text classification job, and the set_featurization method sounds like the one that would handle that.
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Alethea
11 months ago
Let's go with B) set_featurization then, it seems like the most logical choice.
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Alexis
11 months ago
I'm not sure, but it makes sense that set_featurization would handle that aspect.
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Gaynell
12 months ago
I agree, set_featurization method is used for configuring the language of the text classification job.
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Ricki
1 year ago
I think the answer is B) set_featurization.
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