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Netskope NSK200 Exam - Topic 1 Question 16 Discussion

Actual exam question for Netskope's NSK200 exam
Question #: 16
Topic #: 1
[All NSK200 Questions]

Review the exhibit.

You are asked to create a DLP profile that will ensure that the data shown in the exhibit cannot be uploaded to a user's personal Google Drive.

What must be used to accomplish this task?

Show Suggested Answer Hide Answer
Suggested Answer: B, C

There are two possible scenarios that would cause the behavior of files containing test data for credit cards not triggering DLP events when uploaded to Dropbox. One scenario is that the DLP rule has the severity threshold set to a value higher than the number of occurrences. This means that the rule will only trigger an event if the number of matches for the sensitive data exceeds the specified threshold. For example, if the rule has a severity threshold of 10 and the file contains only 5 credit card numbers, then no event will be generated. To fix this, you can lower the severity threshold or remove it altogether. The other scenario is that the credit card numbers in your test data are invalid 16-digit numbers. This means that the numbers do not pass the Luhn algorithm check, which is a validation method used by Netskope DLP to detect valid credit card numbers. For example, if the number is 1234-5678-9012-3456, then it is not a valid credit card number and will not be detected by Netskope DLP. To fix this, you can use valid test credit card numbers that pass the Luhn algorithm check. The other options are not valid scenarios for this behavior. The Netskope client is not steering Dropbox traffic is not a valid scenario because there are corresponding page events, which means that the traffic is being steered to Netskope.There is no API protection configured for Dropbox is not a valid scenario because API protection is not required for DLP detection on file uploads, which are handled by real-time protection.Reference:DLP Rule Settings1,Credit Card Number Detection2


by Ricki at May 10, 2024, 12:44 PM

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Cecily
3 months ago
INTL-PAN-Name rule seems too specific for this task.
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Melvin
3 months ago
Optical character recognition could work, but it’s not as effective.
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Darci
3 months ago
Wait, can fingerprinting really prevent uploads? Sounds too good to be true.
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Lonny
4 months ago
Definitely agree, it’s the most reliable method!
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Carma
4 months ago
I think document fingerprinting is the way to go.
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Leah
4 months ago
The INTL-PAN-Name rule seems specific, but I can't recall how it directly relates to DLP profiles.
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Janet
4 months ago
Optical character recognition sounds like it could help, but I’m not convinced it’s the right choice for blocking uploads to Google Drive.
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Kanisha
4 months ago
I remember practicing a similar question where we had to prevent data from being uploaded, and I think the ML image classifier could be relevant here.
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Kyoko
5 months ago
I think we might need to use document fingerprinting for this, but I'm not entirely sure if that's the only option.
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Serina
5 months ago
Gotta be careful here. Need to make sure I understand the requirements fully before selecting an answer.
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Fallon
5 months ago
I'm feeling pretty confident about this. The INTL-PAN-Name rule sounds like it could be the right solution to prevent that data from being uploaded.
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Shad
5 months ago
I'm a bit confused on this one. Not sure if optical character recognition or the ML image classifier would be the better choice here.
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Daren
5 months ago
Okay, I think I've got this. Document fingerprinting seems like the way to go to detect and block that type of sensitive data.
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Lisha
5 months ago
Hmm, this looks like a tricky one. I'll need to carefully review the options and think through the best approach.
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Kenia
5 months ago
Okay, let's see. Change Sets and Data Loader seem like the most logical options here. I'll make sure to double-check the details on each.
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Ceola
5 months ago
This question seems straightforward. I think the answer is C - both investment in loss prevention techniques and insurance are complementary solutions to address security risks.
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Mozell
5 months ago
Wait, wasn't Trevor technically an innovator? He bought it after the upgrades, but I guess that doesn't mean he was among the absolute first to take the leap.
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Noelia
9 months ago
I'm just hoping I don't accidentally upload my entire family's financial records to Google Drive. That would be a real 'DLP' moment, am I right? *laughs*
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Kendra
10 months ago
Wait, is this a trick question? I bet the answer is 'all of the above' and the real challenge is finding the most cost-effective solution. *winks*
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Iesha
8 months ago
C) optical character recognition
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Josefa
8 months ago
B) ML image classifier
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Mirta
9 months ago
A) document fingerprinting
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Blair
10 months ago
Hmm, the INTL-PAN-Name rule? Interesting, but I'm not sure that's the right tool for the job. Wouldn't want to get too complicated with this one.
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Amie
9 months ago
C) optical character recognition
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Yuki
9 months ago
B) ML image classifier
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Lilli
10 months ago
A) document fingerprinting
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Sharan
10 months ago
ML image classifier? I don't know, that seems a bit overkill for this task. Optical character recognition might be the simpler and more efficient option.
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Yuette
9 months ago
C) optical character recognition
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Marsha
9 months ago
I agree, optical character recognition would be a more efficient option.
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Maxima
9 months ago
D) INTL-PAN-Name rule
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Tatum
9 months ago
C) optical character recognition
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Malcom
9 months ago
B) ML image classifier
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Justine
10 months ago
A) document fingerprinting
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Sarina
10 months ago
Document fingerprinting sounds like the way to go here. Gotta make sure that sensitive data doesn't end up in the wrong hands on Google Drive.
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Leota
11 months ago
I'm not sure, but I think C) optical character recognition could also be used for this task.
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Shaun
11 months ago
I agree with Eura, document fingerprinting can help prevent the data from being uploaded.
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Eura
11 months ago
I think the answer is A) document fingerprinting.
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