Amazon MLS-C01 Exam - Topic 2 Question 33 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 33
Topic #: 2

An online reseller has a large, multi-column dataset with one column missing 30% of its data A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data.

Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

AListwise deletion

BLast observation carried forward

CMultiple imputation

DMean substitution

Show Suggested Answer

Suggested Answer: C

https://worldwidescience.org/topicpages/i/imputing+missing+values.html

by Fletcher at May 06, 2022, 05:41 PM

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Junita

4 months ago

Last observation carried forward? That's outdated, right?

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Kendra

4 months ago

Listwise deletion seems too harsh for 30% missing data.

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Bobbye

4 months ago

Wait, isn't mean substitution a bit risky?

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Glennis

4 months ago

Totally agree, it preserves data integrity better!

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Larae

5 months ago

Multiple imputation is the best choice here.

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Mitsue

5 months ago

I think the answer is Option A - Item Pricing. That feature allows you to set a specific price for an item on a customer record.

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Sol

5 months ago

Hmm, I'm a bit confused about the variables that are available from the SIEM console. I'm not sure which ones I need to include in the script to get the desired response. I'll have to think this through carefully.

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Kina

5 months ago

Alright, let me recap. That's 1 for the Email Poller, 2 for the Customer Onboarding, 2 for the Amend Contact Details, and 1 for the Direct Debit Cancellations. So the total number of licenses required is 6.

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Lindsey

5 months ago

Alright, time to put on my troubleshooting hat. I think I'll start by looking at the subnet mask configuration on Nexus7K-1 as one of the options suggests. That could definitely be a factor in the HSRP adjacency problem.

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