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Snowflake Discussions
Exam DSA-C02 Topic 2 Question 31 Discussion
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?
A
Drop missing rows or columns
B
Replace missing values with mean/median/mode
C
Assign a unique category to missing values
D
All of the above
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Suggested Answer:
D
by
Dean
at
Sep 16, 2024, 02:55 AM
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Kirby
12 days ago
I think assigning a unique category to missing values is a good approach.
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Brice
15 days ago
I prefer replacing missing values with mean/median/mode.
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Whitney
16 days 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
19 days ago
Wait, what if the missing data is the secret to unlocking the universe's mysteries? Option D, of course!
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Pearly
4 days ago
B) Replace missing values with mean/median/mode
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Danica
8 days ago
A) Drop missing rows or columns
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German
25 days ago
I usually drop missing rows or columns.
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Micheal
30 days 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
1 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
1 months ago
Option D is the way to go! Gotta cover all our bases with missing data.
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Theron
8 days ago
I usually go with option B, replacing missing values with the mean.
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Amira
8 days ago
I prefer option A, just dropping the missing rows or columns.
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Melvin
12 days ago
I agree, option D is definitely the most comprehensive approach.
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Kirby
12 days agoBrice
15 days agoWhitney
16 days agoEladia
19 days agoPearly
4 days agoDanica
8 days agoGerman
25 days agoMicheal
30 days agoFausto
1 months agoJules
1 months agoTheron
8 days agoAmira
8 days agoMelvin
12 days ago