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?

ANormalization technique uses minimum and max values for scaling of model.

BNormalization technique uses mean and standard deviation for scaling of model.

CScikit-Learn provides a transformer RecommendedScaler for Normalization.

DNormalization got affected by outliers.

Show Suggested Answer

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

6 months ago

Yeah, outliers can really skew the results in normalization.

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Major

6 months ago

Wait, normalization is affected by outliers? That’s surprising!

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Alyce

6 months ago

Scikit-Learn has a Normalizer, but not a RecommendedScaler.

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Oretha

7 months ago

I thought it was mean and standard deviation for scaling?

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Marylou

7 months ago

Normalization definitely uses min and max values!

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Leslie

7 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

7 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

7 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

8 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

8 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

8 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

8 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

8 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

12 months ago

Normalization techniques are important for data preprocessing.

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Deangelo

12 months 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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