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NEW QUESTION # 20
A customer wants to use Netskope to prevent PCI data from leaving the corporate sanctioned OneDrive instance. In this scenario. which two solutions would assist in preventing data exfiltration? (Choose two.)
Answer: A,B
Explanation:
Explanation
To prevent PCI data from leaving the corporate sanctioned OneDrive instance, the customer can use API Data Protection and Real-time Protection. API Data Protection is a feature that allows you to discover, classify, and protect data that is already resident in your cloud services, such as OneDrive. You can create a policy that matches the PCI data based on criteria such as users, content, activity, or DLP profiles. Then, you can choose an action to prevent the PCI data from being shared or exfiltrated, such as remove external collaborators, remove public links, or quarantine3. Real-time Protection is a feature that allows you to inspect and control data in transit between your users and cloud services, such as OneDrive. You can create a policy that matches the PCI data based on criteria such as users, devices, locations, categories, or DLP profiles. Then, you can choose an action to prevent the PCI data from being uploaded or downloaded, such as block, alert, encrypt, or watermark4. Therefore, options A and D are correct and the other options are incorrect. References: API Data Protection - Netskope Knowledge Portal, Real-time Protection - Netskope Knowledge Portal
NEW QUESTION # 21
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?
Answer: D
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 # 22
Your organization has three main locations with 30.000 hosts in each location. You are planning to deploy Netskope using iPsec tunnels for security.
What are two considerations to make a successful connection in this scenario? (Choose two.)
Answer: A,B
Explanation:
Explanation
To deploy Netskope using IPSec tunnels for security in this scenario, two considerations to make a successful connection are C. redundant POPs and D. number of hosts. Redundant POPs are Points of Presence that are geographically distributed data centers that host the Netskope cloud platform. You need to consider redundant POPs to ensure high availability and resiliency of your IPSec tunnels in case of a failure or outage in one of the POPs. You can configure multiple IPSec tunnels from your network to different POPs and use dynamic routing protocols such as BGP to load balance and failover the traffic1. Number of hosts is the number of devices or endpoints that will use the IPSec tunnels to access the cloud services. You need to consider the number of hosts to estimate the bandwidth and throughput requirements of your IPSec tunnels and choose the appropriate POPs that can handle the traffic volume. You can use the Netskope Bandwidth Calculator tool to estimate the bandwidth and throughput based on the number of hosts, locations, and cloud services2.
Therefore, options C and D are correct and the other options are incorrect. References: IPSec - Netskope Knowledge Portal, Netskope Bandwidth Calculator
NEW QUESTION # 23
Your customer currently only allows users to access the corporate instance of OneDrive using SSO with the Netskope client. The users are not permitted to take their laptops when vacationing, but sometimes they must have access to documents on OneDrive when there is an urgent request. The customer wants to allow employees to remotely access OneDrive from unmanaged devices while enforcing DLP controls to prohibit downloading sensitive files to unmanaged devices.
Which steering method would satisfy the requirements for this scenario?
Answer: D
Explanation:
Explanation
A reverse proxy integrated with their SSO would satisfy the requirements for this scenario. A reverse proxy intercepts requests from users to cloud apps and applies policies based on user identity, device posture, app, and data context. It can enforce DLP controls to prohibit downloading sensitive files to unmanaged devices. It can also integrate with the customer's SSO provider to authenticate users and allow access only to the corporate instance of OneDrive.The other steering methods are not suitable for this scenario because they either require the Netskope client or do not provide granular control over cloud app activities.
NEW QUESTION # 24
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?
Answer: A
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 # 25
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