Microsoft Exam SC-900 Topic 3 Question 52 Discussion

Actual exam question for Microsoft's SC-900 exam

Question #: 52
Topic #: 3

[All SC-900 Questions]

Which Microsoft Purview data classification type supports the use of regular expressions?

Aexact data match (EDM)

Bfingerprint classifier

Csensitive information types (SlTs)

Dtrainable classifier

Show Suggested Answer

Suggested Answer: C

by Nieves at Aug 04, 2024, 07:08 PM

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Kris

3 months ago

I believe it's D) trainable classifier because it allows for more flexibility in data classification.

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Leonida

3 months ago

I'm not sure, but I think it might be C) sensitive information types (SITs).

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Lashaun

3 months ago

A. Exact data match? More like 'exactly the wrong answer'! C is where it's at, folks.

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Stephaine

3 months ago

I agree with Roslyn, regular expressions are used in trainable classifiers.

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Miss

3 months ago

As someone who loves a good regex battle, I'm all about C. Sensitive information types FTW!

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Deangelo

3 months ago

I prefer trainable classifiers for data classification.

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Buffy

3 months ago

I agree, sensitive information types are the way to go for regex battles!

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Roslyn

3 months ago

I think the answer is D) trainable classifier.

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Earleen

3 months ago

Regex? More like re-gex-cuse me, but C is the correct answer. Sensitive information types are the only way to unleash the power of regular expressions!

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Roosevelt

2 months ago

I didn't know that sensitive information types support regular expressions, that's really helpful to know.

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Twana

3 months ago

Regular expressions can be really powerful when classifying data, and sensitive information types are the way to go.

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Leota

3 months ago

I agree, C) sensitive information types (SlTs) is the correct answer for using regular expressions.

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Yun

4 months ago

Hmm, I'm going to have to go with D. Trainable classifier. That machine learning magic is just too good to pass up!

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Trina

2 months ago

Yeah, the machine learning capabilities of the trainable classifier are definitely impressive.

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Jillian

2 months ago

I'm not sure, but I think the sensitive information types (SITs) could be useful too.

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Lawana

2 months ago

I think the fingerprint classifier might also be a good option.

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Kimberlie

3 months ago

I agree, the trainable classifier is really powerful.

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Natalya

4 months ago

I think B. Fingerprint classifier is the right answer. It's all about that unique data signature, you know?

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Tamala

4 months ago

I'm not sure, but I think C) sensitive information types (SITs) also supports regular expressions.

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Fredric

4 months ago

Definitely C. Sensitive information types are the way to go for regex matching. I use them all the time in my data classification projects.

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Moira

4 months ago

I prefer using trainable classifiers for data classification.

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Nakisha

4 months ago

I agree, sensitive information types are great for regex matching.

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Gilma

4 months ago

I agree with Felice, because trainable classifier allows for customization using regular expressions.

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Felice

4 months ago

I think the answer is D) trainable classifier.

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