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Snowflake DSA-C02 Exam - Topic 4 Question 35 Discussion

Select the Correct Statements regarding Normalization?
D) Normalization got affected by outliers.
A) Normalization technique uses minimum and max values for scaling of model.
B) Normalization technique uses mean and standard deviation for scaling of model.
C) Scikit-Learn provides a transformer RecommendedScaler for Normalization.

Snowflake DSA-C02 Exam - Topic 4 Question 35 Discussion

Actual exam question for Snowflake's DSA-C02 exam
Question #: 35
Topic #: 4
[All DSA-C02 Questions]

Select the Correct Statements regarding Normalization?

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Suggested Answer: D

All are correct except a standard-only stream tracks row inserts only.

A standard (i.e. delta) stream tracks all DML changes to the source object, including inserts, up-dates, and deletes (including table truncates).


by Stefany at Dec 10, 2024, 01:02 PM

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Colene
9 months ago
Yeah, outliers can really skew the results in normalization.
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Major
9 months ago
Wait, normalization is affected by outliers? That’s surprising!
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Alyce
9 months ago
Scikit-Learn has a Normalizer, but not a RecommendedScaler.
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Oretha
10 months ago
I thought it was mean and standard deviation for scaling?
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Marylou
10 months ago
Normalization definitely uses min and max values!
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Leslie
10 months ago
I feel like normalization and standardization are often confused, but I do remember that normalization can be influenced by outliers.
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Izetta
10 months ago
I practiced a question similar to this, and I think normalization typically uses mean and standard deviation, but I might be mixing it up with standardization.
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Pearly
10 months ago
I think normalization is definitely affected by outliers, but I can't recall if Scikit-Learn has a specific transformer called RecommendedScaler.
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Loreta
11 months ago
I remember that normalization often involves scaling data, but I'm not sure if it's specifically about min and max values or something else.
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Erasmo
11 months ago
Wait, I'm confused. I thought normalization was about scaling the data, not just the model. I'll have to review my notes on this before answering.
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Merilyn
11 months ago
Okay, I think I've got this. Normalization uses mean and standard deviation, and Scikit-Learn has a transformer called StandardScaler that does this. I'll select options B and C.
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Arthur
11 months ago
Hmm, I'm a bit unsure about this. I remember something about normalization being affected by outliers, but I can't recall the details. I'll have to think this through carefully.
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Renea
11 months ago
I'm pretty confident about this one. I know normalization uses mean and standard deviation, not min and max values, so I'll select option B.
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Iola
1 year ago
Normalization? More like Abnormalization, am I right? *chuckles* Okay, I'll see myself out.
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Gertude
1 year ago
Normalization techniques are important for data preprocessing.
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Deangelo
1 year ago
C) Scikit-Learn provides a transformer RecommendedScaler for Normalization.
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Michell
1 year ago
A) Normalization technique uses minimum and max values for scaling of model.
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Annabelle
1 year ago
A? Really? Normalization has nothing to do with min and max values. Sounds like someone needs to go back to their machine learning basics.
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Mike
1 year ago
D) Normalization got affected by outliers.
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Shayne
1 year ago
C) Scikit-Learn provides a transformer RecommendedScaler for Normalization.
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Marquetta
1 year ago
B) Normalization technique uses mean and standard deviation for scaling of model.
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Jettie
1 year ago
D is definitely true. Normalization can be affected by outliers in the data, so we need to be careful about that.
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Edda
1 year ago
Option C is interesting, but I'm not sure if that's the correct answer. I'll have to double-check the documentation.
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Billye
1 year ago
I believe option D) Normalization got affected by outliers is also important to consider, as outliers can skew the normalization process.
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Annett
1 year ago
I think option B is the correct statement. Normalization uses mean and standard deviation for scaling the data.
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Veda
1 year ago
Yes, option B is the correct statement. Normalization technique uses mean and standard deviation for scaling of model.
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Theola
1 year ago
I agree, option B is correct. Normalization uses mean and standard deviation for scaling.
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Johnna
1 year ago
I agree with Narcisa, because using mean and standard deviation helps in maintaining the distribution of data.
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Narcisa
1 year ago
I think the correct statement is B) Normalization technique uses mean and standard deviation for scaling of model.
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