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Netskope NSK200 Exam Syllabus Topics:

Topic	Details
Topic 1	Integration with Third-Party Security Tools: In this module, the focus is on how Netskope can link with the current security infrastructure and how the adoption of Single Sign-On (SSO) and Active Directory integration is possible.
Topic 2	SWG functionalities for web traffic filtering and control: This section explores Netskope SWG's capabilities in URL filtering, protection against malware, and threat prevention strategies.
Topic 3	Data discovery and classification for cloud storage: This section of the exam covers Data Loss and how to prevent it using DLP policies. Moreover, this section covers cloud encryption techniques related to data at rest and in transit.
Topic 4	Netskope User Activity and Threat Protection: This portion focuses on Netskope's capabilities in monitoring user behavior and identifying anomalies. It also covers the implementation of cloud application controls and detailed access policies. The section further delves into Netskope's approach to detecting cloud-based malware and its threat intelligence features, as well as cloud data security measures.
Topic 5	Netskope Security Cloud Fundamentals: This domain covers the structure of Netskope Security Cloud. It explores the foundations of the Cloud Access Security Broker (CASB) the implementation of Netskope as a CASB solution.

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Netskope Certified Cloud Security Integrator (NCCSI) Sample Questions (Q85-Q90):

NEW QUESTION # 85
You have deployed Netskope Secure Web Gateway (SWG). Users are accessing new URLs that need to be allowed on a daily basis. As an SWG administrator, you are spending a lot of time updating Web policies. You want to automate this process without having to log into the Netskope tenant Which solution would accomplish this task?

A. You can use REST API to update the URL list.
B. You can use Cloud Risk Exchange.
C. You can use Cloud Log Shipper.
D. You can minimize your work by sharing URLs with Netskope support.

Answer: A

Explanation:
Explanation
To automate the process of updating Web policies without having to log into the Netskope tenant, you can use REST API to update the URL list. REST API is a feature that allows you to use an auth token to make authorized calls to the Netskope API and access resources via URI paths1. You can use REST API to update a URL list with new values by providing the name of an existing URL list and a comma-separated list of URLs or IP addresses2. This can help you automate or script the management of your URL lists and keep them up-to-date. Therefore, option D is correct and the other options are incorrect. References: REST API v2 Overview - Netskope Knowledge Portal, Update a URL List - Netskope Knowledge Portal

NEW QUESTION # 86
You are using the Netskope DLP solution. You notice that valid credit card numbers in a file that you just uploaded to an unsanctioned cloud storage solution are not triggering a policy violation. You can see the Skope IT application events for this traffic but no DLP alerts.
Which statement is correct in this scenario?

A. You have set the severity threshold to a higher value.
B. Netskope client is not enabled.
C. Credit card numbers are entered with a space or dash separator and not as a 16-digit consecutive number.
D. Netskope client is enabled, but API protection for the SaaS application is not configured.

Answer: C

Explanation:
The statement that is correct in this scenario is D. Credit card numbers are entered with a space or dash separator and not as a 16-digit consecutive number. This is one of the possible reasons why valid credit card numbers in a file are not triggering a policy violation by Netskope DLP. Netskope DLP uses data identifiers to detect sensitive data in files and network traffic. Data identifiers are predefined or custom rules that match data patterns based on regular expressions, checksums, keywords, etc1. The credit card number data identifier matches 16-digit consecutive numbers that pass the Luhn algorithm check2. If the credit card numbers are entered with a space or dash separator, such as 1234-5678-9012-3456 or 1234 5678 9012 3456, they will not match the data identifier and will not trigger a policy violation. To solve this problem, you can either remove the separators from the credit card numbers or create a custom data identifier that matches the credit card numbers with separators3. Therefore, option D is correct and the other options are incorrect. References: Data Identifiers - Netskope Knowledge Portal, Credit Card Number - Netskope Knowledge Portal, Create a Custom Data Identifier - Netskope Knowledge Portal

NEW QUESTION # 87
Your company asks you to use Netskope to integrate with Endpoint Detection and Response (EDR) vendors such as Crowdstrike.
Which two requirements are needed for a successful integration and sharing of threat data? (Choose two.)

A. API Client ID
B. Remediation profile
C. Custom log parser
D. Device classification

Answer: A,B

Explanation:
Integrating with EDR vendors like Crowdstrike requires an API Client ID for authentication and data sharing.
A remediation profile is also necessary to define automated actions that can be taken when threats are detected, ensuring effective response to endpoint threats.

NEW QUESTION # 88
What is the purpose of the filehash list in Netskope?

A. It configures blocklist and allowlist entries referenced in the custom Malware Detection profiles.
B. It provides the file types that Netskope can inspect.
C. It is used to allow and block URLs.
D. It providesClient Threat Exploit Prevention (CTEP).

Answer: A

Explanation:
Explanation
The purpose of the file hash list in Netskope is to configure blocklist and allowlist entries referenced in the custom Malware Detection profiles. A file hash list is a collection of MD5 or SHA-256 hashes that represent files that you want to allow or block in your organization. You can create a file hash list when adding a file profile and use it as an allowlist or blocklist for files in your organization1. You can then select the file hash list when creating a Malware Detection profile2.

NEW QUESTION # 89
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?

A. ML image classifier
B. INTL-PAN-Name rule
C. optical character recognition
D. document fingerprinting

Answer: C

Explanation:
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, you need to use optical character recognition (OCR). OCR is a feature that allows you to detect and extract text from images and scanned documents. You can use OCR in your DLP profiles to identify sensitive data that is embedded or hidden in images1. In the exhibit, we can see that the data is a credit card number, which is a type of sensitive data that can be easily identified by OCR. You can create a DLP profile that uses OCR and matches the credit card number data identifier or a custom regex expression. You can then apply an action such as block, alert, or quarantine to prevent the data from being uploaded to Google Drive2. Therefore, option C is correct and the other options are incorrect. References: Optical Character Recognition (OCR) - Netskope Knowledge Portal, Add a Policy for Data Protection - Netskope Knowledge Portal

NEW QUESTION # 90
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