Snowflake Exam DSA-C02 Topic 2 Question 31 Discussion

Actual exam question for Snowflake's DSA-C02 exam

Question #: 31
Topic #: 2

[All DSA-C02 Questions]

How do you handle missing or corrupted data in a dataset?

ADrop missing rows or columns

BReplace missing values with mean/median/mode

CAssign a unique category to missing values

DAll of the above

Show Suggested Answer

Suggested Answer: D

by Dean at Sep 16, 2024, 02:55 AM

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Kirby

2 months ago

I think assigning a unique category to missing values is a good approach.

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Brice

2 months ago

I prefer replacing missing values with mean/median/mode.

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Whitney

2 months ago

All of the above, just like my love for this exam question. Options are like chocolate - the more, the merrier!

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Eladia

2 months ago

Wait, what if the missing data is the secret to unlocking the universe's mysteries? Option D, of course!

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Janine

1 months ago

D) All of the above

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Solange

1 months ago

C) Assign a unique category to missing values

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Pearly

2 months ago

B) Replace missing values with mean/median/mode

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Danica

2 months ago

A) Drop missing rows or columns

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German

3 months ago

I usually drop missing rows or columns.

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Micheal

3 months ago

I'd go with A and B. Drop the missing rows and replace the remaining values. Simplicity is key!

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Fausto

3 months ago

Hmm, I'd say B and C are the best options here. Assigning a unique category for missing values is a clever move.

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Jules

3 months ago

Option D is the way to go! Gotta cover all our bases with missing data.

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Lucia

2 months ago

It really depends on the dataset and the specific situation, but having all options available is definitely helpful.

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Theron

2 months ago

I usually go with option B, replacing missing values with the mean.

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Amira

2 months ago

I prefer option A, just dropping the missing rows or columns.

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Melvin

2 months ago

I agree, option D is definitely the most comprehensive approach.

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