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Exam DP-100 topic 3 question 73 discussion

Actual exam question from Microsoft's DP-100
Question #: 73
Topic #: 3
[All DP-100 Questions]

You create a pipeline in designer to train a model that predicts automobile prices.
Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the training data, trains a model to predict this natural log of price value, and then calculates the exponential of the scored label to get the predicted price.
The training pipeline is shown in the exhibit. (Click the Training pipeline tab.)

Training pipeline -

You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the Real-time pipeline tab.)

Real-time pipeline -

You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored label as the predicted automobile price and that client applications are not required to include a price value in the input values.
Which three modifications must you make to the inference pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Connect the output of the Apply SQL Transformation to the Web Service Output module.
  • B. Replace the Web Service Input module with a data input that does not include the price column.
  • C. Add a Select Columns module before the Score Model module to select all columns other than price.
  • D. Replace the training dataset module with a data input that does not include the price column.
  • E. Remove the Apply Math Operation module that replaces price with its natural log from the data flow.
  • F. Remove the Apply SQL Transformation module from the data flow.
Show Suggested Answer Hide Answer
Suggested Answer: ACE 🗳️

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scipio
Highly Voted 3 years, 6 months ago
In contrast to other comments I think the answer ACE is correct. How you can achieve D in a pipeline? Either you change the dataset (you need to create a new one removing one column from the original training dataset), or you use C. In other words to achieve D you need to do C!
upvoted 18 times
TEO96B
2 years, 11 months ago
I almost agree with you, but choosing C how can I apply A hence accept the "apply sql trasformation" output? I mean, we should remove both "apply math operation" modules and then accept the sql output... I think that the answer is still incorrect, or am I missing anything?
upvoted 2 times
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ACSC
Highly Voted 3 years, 7 months ago
A, D, E: connect the output after the last operation, you have to discard the the price column and because of this you don't need to replace price anymore.
upvoted 7 times
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PI_Team
Most Recent 11 months, 2 weeks ago
Selected Answer: ABC
A. Connect the output of the Apply SQL Transformation to the Web Service Output module: This ensures that the transformed scores (actual predicted prices) are returned. B. Replace the Web Service Input module with a data input that does not include the price column: To prevent the need for price as an input. C. Add a Select Columns module before the Score Model module to select all columns other than price: To ensure the model uses only the necessary input features, excluding the price.
upvoted 2 times
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vv_bb
1 year ago
The correct answer is ADE Check this page, section "Create and run an inference pipeline" https://microsoftlearning.github.io/AI-900-AIFundamentals/instructions/02a-create-regression-model.html
upvoted 1 times
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eloyinaay
1 year, 8 months ago
on 2023/03/6 exam!
upvoted 2 times
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Gferreira
1 year, 10 months ago
Sorry, ABE
upvoted 1 times
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Gferreira
1 year, 10 months ago
ABF . Analyze
upvoted 1 times
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michaelmorar
1 year, 10 months ago
Selected Answer: ACE
D refers to training data which doesn't apply in inference pipelines
upvoted 3 times
DaniloMagone
6 months, 3 weeks ago
This is the exact reason that D is correct. Training data is in the Pipeline and it should not be there.
upvoted 1 times
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amokrane_mancer
2 years ago
Selected Answer: ACE
ACE is correct
upvoted 2 times
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therealola
2 years, 5 months ago
On exam 18-06-22
upvoted 2 times
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racnaoamo
2 years, 6 months ago
on exam 18-5-22
upvoted 1 times
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majma
2 years, 6 months ago
I think scipio is right
upvoted 1 times
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synapse
2 years, 8 months ago
Selected Answer: ACD
ACD Looks good.
upvoted 1 times
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TheCyanideLancer
2 years, 9 months ago
Selected Answer: ACD
As per this answer must be ACD https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/inference-pipeline?ns-enrollment-type=LearningPath&ns-enrollment-id=learn.wwl.create-no-code-predictive-models-with-azure-machine-learning
upvoted 2 times
ferdcoz
5 months ago
It doesnt make sense you're (C) selectin all columns other than price but at the same time replacing for a dataset that does not include the price column (D)
upvoted 1 times
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ranjsi01
2 years, 9 months ago
Agree i just checked as well. ACD is correct
upvoted 1 times
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dija123
2 years, 11 months ago
Selected Answer: ACE
I agree with ACE
upvoted 3 times
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leo99
2 years, 11 months ago
Answer is correct. Remember, we need to modify the real-time pipeline. A: connect the output of SQL transformation to the web service output to return the exponential of predicted label. The model was trained to predict the natural log of the prices. C & E: since we are doing inferencing, we don't need the target variable.
upvoted 3 times
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tunaktunak
2 years, 11 months ago
On exam 26/11/2021
upvoted 3 times
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