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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?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Kris
5 days ago
I believe it's D) trainable classifier because it allows for more flexibility in data classification.
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Leonida
14 days ago
I'm not sure, but I think it might be C) sensitive information types (SITs).
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Lashaun
19 days ago
A. Exact data match? More like 'exactly the wrong answer'! C is where it's at, folks.
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Stephaine
19 days ago
I agree with Roslyn, regular expressions are used in trainable classifiers.
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Miss
22 days ago
As someone who loves a good regex battle, I'm all about C. Sensitive information types FTW!
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Deangelo
10 days ago
I prefer trainable classifiers for data classification.
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Buffy
10 days ago
I agree, sensitive information types are the way to go for regex battles!
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Roslyn
25 days ago
I think the answer is D) trainable classifier.
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Earleen
25 days 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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Leota
17 days ago
I agree, C) sensitive information types (SlTs) is the correct answer for using regular expressions.
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Yun
1 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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Kimberlie
13 days ago
I agree, the trainable classifier is really powerful.
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Natalya
1 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
1 months ago
I'm not sure, but I think C) sensitive information types (SITs) also supports regular expressions.
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Fredric
1 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
28 days ago
I prefer using trainable classifiers for data classification.
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Nakisha
1 months ago
I agree, sensitive information types are great for regex matching.
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Gilma
2 months ago
I agree with Felice, because trainable classifier allows for customization using regular expressions.
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Felice
2 months ago
I think the answer is D) trainable classifier.
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