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Exam DP-100 topic 1 question 42 discussion

Actual exam question from Microsoft's DP-100
Question #: 42
Topic #: 1
[All DP-100 Questions]

You are making use of the Azure Machine Learning to designer construct an experiment.
After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree.
You are preparing to ascertain the Area Under the Curve (AUC).
Which of the following is a sequential combination of the models required to achieve your goal?

  • A. Train, Score, Evaluate.
  • B. Score, Evaluate, Train.
  • C. Evaluate, Export Data, Train.
  • D. Train, Score, Export Data.
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Suggested Answer: A 🗳️

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Highly Voted 3 years, 1 month ago
Selected Answer: A
Answer is correct
upvoted 7 times
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geethavkr
Most Recent 8 months, 2 weeks ago
Option A
upvoted 1 times
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Roger_Sampaio1
1 year, 5 months ago
No Azure Machine Learning Designer seriam os módulos: 1 - Treinar. Ocorre literalmente o treinamento do modelo. 2 - Pontuar. Efetua-se as previsões com os dados de teste. 3 - Avaliar. Efetua-se a avaliação por meio das métricas. Resposta: A
upvoted 2 times
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krishna1818
1 year, 11 months ago
Selected Answer: A
Option A
upvoted 1 times
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