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Microsoft DP-100 Exam - Topic 2 Question 115 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 115
Topic #: 2
[All DP-100 Questions]

You manage an Azure Machine Learning workspace.

An MLflow model is already registered. You plan to customize how the deployment does inference. You need to deploy the MLflow model to a batch endpoint for batch inferencing. What should you create first?

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Suggested Answer: A

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Audry
4 months ago
Environment setup is crucial too, but scoring script comes first!
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Ilene
4 months ago
Wait, is it really the scoring script? Seems odd.
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Norah
4 months ago
I thought you start with the deployment definition?
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Sharika
4 months ago
Totally agree, scoring script is essential.
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Alise
5 months ago
You need a scoring script first!
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Denise
5 months ago
I remember a question about batch endpoints, and I think the deployment comes after the scoring script. But I could be mixing it up.
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Vanesa
5 months ago
I feel like we might need to set up the environment first. It seems important for the model to run correctly.
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Vesta
5 months ago
I'm not entirely sure, but I remember something about needing a deployment definition before anything else.
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Talia
5 months ago
I think we need to create a scoring script first, right? That’s what we did in the practice questions.
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Carmela
5 months ago
Ah, I see. The key here is that we already have an MLflow model registered, so we need to create the environment to deploy it. I'll choose option C.
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Shawana
5 months ago
Based on the question, it sounds like I need to create a deployment definition to customize the deployment for batch inferencing. I'll go with that option.
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Lea
5 months ago
I'm a bit confused on this one. Do I need to create a deployment first, or can I just jump straight to the scoring script?
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Ena
6 months ago
Hmm, this seems straightforward. I think the first step would be to create a scoring script to handle the batch inferencing.
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Keith
6 months ago
Okay, let's see... Correlation data is usually associated with events or tasks, so I'm guessing the answer has to do with those types of process objects.
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Merrilee
1 year ago
D) deployment definition, 'cause you can't have a deployment without a definition, am I right or am I right?
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Eloisa
1 year ago
Hmm, I'd say B) deployment. Gotta get that set up before you can even think about customizing the inference!
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Vincenza
1 year ago
C) environment
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Roxane
1 year ago
B) deployment
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Cherry
1 year ago
A) scoring script
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Daron
1 year ago
D) deployment definition
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Aron
1 year ago
C) environment
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Maryann
1 year ago
B) deployment
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Cherry
1 year ago
A) scoring script
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Nada
1 year ago
I believe we should create an environment first to ensure the deployment runs smoothly.
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Laticia
2 years ago
I agree with Viola. The scoring script is needed for customizing the deployment.
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Katheryn
2 years ago
I'd go with C) environment, can't have a deployment without the right environment, am I right or am I right?
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Lawrence
2 years ago
A) scoring script, how else are you going to score the data, huh? Gotta have that in place first.
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Brandee
2 years ago
D) deployment definition, duh! That's the whole foundation for the rest of the setup.
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Rima
1 year ago
D) deployment definition
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Dana
1 year ago
C) environment
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Zita
1 year ago
B) deployment
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Deeann
1 year ago
A) scoring script
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Xochitl
2 years ago
Definitely go with C. Environment, gotta set up that Python environment first before anything else!
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Jani
1 year ago
C) environment
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Effie
2 years ago
B) deployment
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Pauline
2 years ago
A) scoring script
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Katie
2 years ago
B) deployment, come on people, you can't run inference without a deployment in place!
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Viola
2 years ago
I think we should create a scoring script first.
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