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Exam DP-100 topic 1 question 27 discussion

Actual exam question from Microsoft's DP-100

Question #: 27
Topic #: 1

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You are in the process of carrying out feature engineering on a dataset.
You want to add a feature to the dataset and fill the column value.
Recommendation: You must make use of the Edit Metadata Azure Machine Learning Studio module.
Will the requirements be satisfied?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: B 🗳️

by gaint at July 5, 2021, 6:12 a.m.

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gaint

Highly Voted 3 years, 6 months ago

Edit meta data cannot add a new column, it can change properties of existing columns

upvoted 30 times

Gabonia

2 years, 4 months ago

question says fill column, not add

upvoted 1 times

lcgcastro96

1 year, 6 months ago

"You want to add a feature to the dataset and fill the column value."

upvoted 1 times

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azure1000

3 years, 5 months ago

Agree. New column can be added through SQL transformation or python script

upvoted 4 times

pancman

2 years, 8 months ago

Exactly!

upvoted 1 times

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evangelist

Most Recent 10 months, 2 weeks ago

Selected Answer: B

filling value has nothing to do with Edit metadata

upvoted 1 times

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PopeyeDS

1 year, 5 months ago

Selected Answer: B

Edit metadata helps to change column type to categorical or any other.. not necessary to add a feature

upvoted 1 times

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Sa_Msa

1 year, 6 months ago

Selected Answer: B

"Edit Meta Data" as the name is saying, is for editing the meta data, you can select the columns that you want to change, you can change their type e.g. numerical to categorial, then you can choose if they are features or labels etc.. you can also change the column name here too. Below is the options you have: Column Edit column [Column names: test2] Data type [Categorical] Fields [Label] New column names -

upvoted 1 times

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Nadine_nm

1 year, 7 months ago

The answer is correct, the module allows you to : Mark columns as features. https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/edit-metadata?view=azureml-api-2

upvoted 1 times

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eloyinaay

1 year, 10 months ago

To add a column the only way is with python scripts.

upvoted 1 times

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mamau

1 year, 10 months ago

YES. The recommendation to use the Edit Metadata Azure Machine Learning Studio module would satisfy the requirements of adding a feature to the dataset and filling the column value. The Edit Metadata module allows for editing of the metadata of the dataset, including adding columns, modifying column names, and changing data types. It would be an appropriate tool for adding a new feature to the dataset and filling its values.

upvoted 2 times

Yuriy_Ch

1 year, 10 months ago

mamau, could you bring a proof please? a link...

upvoted 2 times

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Edriv

2 years ago

Keyword => Add

upvoted 1 times

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synapse

2 years, 9 months ago

Selected Answer: B

Can't add new columns. Change existing ones

upvoted 2 times

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Tsardoz

2 years, 11 months ago

Selected Answer: B

Edit metadata can change existing column names not add new ones

upvoted 3 times

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dija123

3 years ago

Selected Answer: A

Agree with Edit metadata

upvoted 1 times

pancman

2 years, 8 months ago

Try it in Azure ML Studio and you will see that you can't add a new column using "Edit Metadata"

upvoted 2 times

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gnsu

3 years, 1 month ago

Given answer is wrong: Should be No. Add Columns must be right answer. https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/add-columns

upvoted 1 times

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bdsrca

3 years, 4 months ago

The answer is correct, you can ADD a new column by editing metadata. ref: https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/edit-metadata

upvoted 4 times

pancman

2 years, 8 months ago

Try it in Azure ML Studio yourself and you will see that you can't add a new column using "Edit Metadata". Please don't spread false information unless you're sure!

upvoted 3 times

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