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Exam DP-100 topic 7 question 2 discussion

Actual exam question from Microsoft's DP-100
Question #: 2
Topic #: 8
[All DP-100 Questions]

DRAG DROP -
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.
Select and Place:

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Suggested Answer:
Step 1: Sweep Clustering -
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained
Model.

Step 2: Train Model -

Step 3: Evaluate Model -
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
Reference:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html
by choolake at May 19, 2020, 5:34 a.m.

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hendrata
Highly Voted 1 year, 10 months ago
Agree with the comments above. I think it should be: 1. Load Trained Model 2. Evaluate Model 3. Score Model
upvoted 35 times
a_1234567_
1 year, 9 months ago
Why not this sequence? 1. Load Trained Model 2. Score Model 3. Evaluate Model
upvoted 88 times
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kty
1 year, 1 month ago
how can it be possible to evaluate before scoring?
upvoted 13 times
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Rajuuu
Highly Voted 1 year, 8 months ago
1. Load Trained Model 2. Score Model 3. Evaluate Model
upvoted 25 times
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wikasitha
Most Recent 8 months ago
correct answer might be Train > score > evaluate
upvoted 4 times
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rjile
1 year, 4 months ago
Creating the Experiment Add the following modules to your workspace in Azure Machine Learning Studio (classic): Adult Census Income Binary Classification dataset Two-Class Logistic Regression Train Model Score Model Evaluate Model so --> Train Model, Score Model, Evaluate Model https://docs.microsoft.com/en-us/azure/machine-learning/classic/evaluate-model-performance
upvoted 11 times
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conniekdl
1 year, 9 months ago
It seems that there's no module for Loading Trained Model in the designer, but one in the studio. Maybe that's why the first should be Load Trained Model. https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/module-reference
upvoted 1 times
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davo123
1 year, 11 months ago
Why not 'Score Model' instead of 'Train Model'? References show that 'Train Model' is not necessary here.
upvoted 3 times
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choolake
1 year, 11 months ago
Two-Class Decision Jungle and Two-Class Decision Forest are classification Models cant use sweep clustering module which is for clustering
upvoted 4 times
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