Discuss Netskope NSK200 Exam Topic 1 Question 25

An engineering firm is using Netskope DLP to identify and block sensitive documents, including schematics and drawings. Lately, they have identified that when these documents are blocked, certain employees may be taking screenshots and uploading them. They want to block any screenshots from being uploaded.

Which feature would you use to satisfy this requirement?

Aexact data match (EDM)

Bdocument fingerprinting

CML image classifier

Doptical character recognition (OCR)

Suggested Answer: B

To create an API token to allow a DevSecOps engineer to create and update a URL list using REST API v2, you need to provide read and write access for the ''/urllist'' endpoint. The ''/urllist'' endpoint is the API endpoint that allows you to manage URL lists in your Netskope tenant.You can use this endpoint to perform operations such as create, update, delete, or list URL lists3.To create an API token with this privilege, you need to go to Settings > Tools > REST API v2 > New Token, enter a token name and expiration time, add the ''/urllist'' endpoint, and select Read+Write as the privilege4. This will allow the DevSecOps engineer to use the API token in their requests to create and update URL lists. Therefore, option B is correct and the other options are incorrect.Reference:REST API v2 Overview - Netskope Knowledge Portal,Manage URL Lists - Netskope Knowledge Portal

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35 comments · newest first

Nu 10 months ago

I’m not sure about this, what if it misses some uploads?

Temeka 11 months ago

Document fingerprinting might work too, but not as effective for images.

Angelo 11 months ago

Wait, can the ML image classifier really catch all screenshots?

Venita 11 months ago

Totally agree, screenshots need to be detected!

Alexis 11 months ago

I think the ML image classifier is the best choice here.

Emogene 12 months ago

I vaguely remember exact data match being more about specific data types rather than images, so I don't think that's the right choice for this scenario.

Darrin 12 months ago

I feel like optical character recognition might help identify text in screenshots, but I'm not confident if it can block uploads effectively.

Chauncey 12 months ago

I think the ML image classifier could be relevant here since it deals with images, but I can't recall the specifics of how it works with DLP.

William 1 year ago

I remember we discussed document fingerprinting in class, but I'm not entirely sure if it's the best option for blocking screenshots.

Temeka 1 year ago

I'm leaning towards the document fingerprinting option. It seems like the most robust and comprehensive solution for this problem.

Veronika 1 year ago

Exact data match seems a bit too limited for this scenario. I don't think it would be able to detect and block screenshots, only the original files.

Marilynn 1 year ago

The ML image classifier seems like it could be a good choice too. It could be trained to identify and block any images that look like screenshots of the sensitive documents.

Aliza 1 year ago

Hmm, I'm not sure. Optical character recognition might also work, since it could potentially detect text from the schematics and drawings in the screenshots.

Eliz 1 year ago

I think document fingerprinting would be the best option here. It can detect and block screenshots of sensitive documents, even if they're not the original file.

Stephanie 1 year ago

Hmm, the question mentions the host address is configured, but the computer still can't connect. I'm not sure what component is missing.

Fatima 1 year ago

Option A, exact data match, seems a bit too simplistic for this scenario. Unless the employees are just copy-pasting the entire documents, I don't think that would work very well.

Claudio 1 year ago

↳ replying to Fatima

ML image classifier could also be a good option to prevent screenshots from being uploaded.

Sheron 1 year ago

↳ replying to Fatima

I agree, document fingerprinting would be more effective in this scenario.

Veda 1 year ago

↳ replying to Fatima

C) ML image classifier

Ruthann 1 year ago

↳ replying to Fatima

B) document fingerprinting

Reita 1 year ago

I'm going to go with option D, OCR. It can read the text in the screenshots and identify them as sensitive documents, right? Seems like a pretty straightforward solution.

Anna 1 year ago

↳ replying to Reita

User 3: I agree, OCR seems like the most effective feature to use in this situation.

Louvenia 1 year ago

↳ replying to Reita

User 2: Yeah, OCR sounds like a good solution. It can help block any screenshots from being uploaded.

Antonio 1 year ago

↳ replying to Reita

User 1: I think option D, OCR, is the best choice. It can read the text in the screenshots and identify them as sensitive documents.

Tiffiny 2 years ago

Option B, document fingerprinting, sounds interesting. It could potentially identify the schematics and drawings even if they're captured in a screenshot.

Hyman 1 year ago

↳ replying to Tiffiny

B) document fingerprinting

Alton 1 year ago

↳ replying to Tiffiny

A) exact data match (EDM)

Brianne 2 years ago

I think option C, the ML image classifier, would be the best way to go. It can detect screenshots and block them from being uploaded.

Gearldine 1 year ago

↳ replying to Brianne

D: OCR could also be useful in identifying text within the screenshots.

Sheridan 1 year ago

↳ replying to Brianne

C: I think EDM might be more precise in detecting exact matches of sensitive documents.

Javier 1 year ago

↳ replying to Brianne

B: But wouldn't document fingerprinting also be effective in this situation?

Natalya 1 year ago

↳ replying to Brianne

A: I agree, the ML image classifier would be able to identify screenshots accurately.

Rosendo 2 years ago

I'm not sure, but I think ML image classifier could also be a good choice to block screenshots.

Leanna 2 years ago

I agree with Bettina, document fingerprinting would be the best option for this scenario.

Bettina 2 years ago

I think we should use document fingerprinting to block screenshots.

Netskope NSK200 Exam - Topic 1 Question 25 Discussion