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Exam DP-100 topic 2 question 43 discussion

Actual exam question from Microsoft's DP-100
Question #: 43
Topic #: 2
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You are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply an Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

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dija123
Highly Voted 2 years, 5 months ago
Selected Answer: B
I believe Quantile normalization is the correct answer
upvoted 8 times
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SnowCheetah
Highly Voted 2 years, 11 months ago
"Equal Width with Custom Start and Stop binning mode" only do binning but with goal it's require normalized as well as binning problem. Thus that's incorrect @Askme101 provide possible answer using MDL is correct one https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
upvoted 6 times
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Hisayuki
Most Recent 7 months, 1 week ago
Selected Answer: B
Should use Quantiles. The quantile method assigns values to bins based on percentile ranks, because you need to normalize, while Equal Width puts the data into each bin at the same interval between starting and ending values.
upvoted 2 times
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Edriv
1 year, 5 months ago
Option A
upvoted 1 times
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JTWang
2 years, 2 months ago
Selected Answer: B
Group Data into Bins https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/group-data-into-bins
upvoted 1 times
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Aleem
3 years, 1 month ago
Entropy MDL may be the best answer, but the question is whether this solution meets the goal stated. The solution stated may not be optimal but does bin the values.
upvoted 5 times
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chaudha4
3 years, 1 month ago
Entropy MDL is not available in designer. The answer applies only to studio(classic). If asked in Designer context, I think the answer is actually Yes.
upvoted 6 times
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Askme101
3 years, 5 months ago
Entropy MDL is the correct answer see below https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
upvoted 3 times
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concernedCitizen
3 years, 11 months ago
'A' is correct per the link: "Equal Width with Custom Start and Stop: This method is like the Equal Width option, but you can specify both lower and upper bin boundaries."
upvoted 3 times
Rickii
3 years, 10 months ago
Correct answer is B. Bcoz u have target column.
upvoted 5 times
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juandante
4 years ago
Answer B
upvoted 2 times
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methodidacte
4 years, 4 months ago
"Studio" is now called "Designer"
upvoted 1 times
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