Free Practice Questions for Netskope NSK300 Exam

The appropriate rule type to use in the DLP profile for a document that is considered confidential when filled out isfingerprint classification. Fingerprinting is a method used to identify and protect sensitive data within documents. It works by creating a digital fingerprint of a file, which can then be used to detect any copies or derivatives of that file.In this case,fingerprinting would allow the hospital to differentiate between the blank patient form, which can be freely shared, and the same form with patient information filled out, which is confidential1.

References: Netskope’s DLP rules can contain elements such as predefined data identifiers, custom data identifiers, keyword identifiers from a dictionary file, RegEx expressions, and exact match criteria1.For this specific use case, fingerprint classification is the most effective method as it can accurately detect the presence of filled-out information in the forms, which is crucial for maintaining patient confidentiality as per HIPAA regulations1.

To retain the original dashboard without automatic updates due to improvements made by Netskope, you can download the desired dashboard and then import it from a file into your Group or Personal folder.

This approach ensures that you have a static version of the dashboard that won’t be affected by future changes or enhancements. References:

The answer is based on general knowledge of dashboard management and customization within Netskope.

In the given scenario, a user is attempting to upload a file containing sensitive PII and PCI data to Microsoft OneDrive. The Netskope Security Cloud provides real-time data and threat protection when accessing cloud services, websites, and private apps from anywhere, on any device. Based on the exhibit provided, different DLP (Data Loss Prevention) profiles are triggered - DLP-SourceCode, DLP-PCI, and DLP-PII. Each of these profiles has specific actions associated with them; for instance, an alert is generated for Source Code while blocking actions are initiated for PCI and PII data. Since multiple DLP profiles are triggered due to the sensitive nature of the content in the file being uploaded, separate incidents will be generated for each matching profile ensuring comprehensive security coverage and incident reporting.

References:

Netskope Cloud Security

Netskope Resources

Netskope Documentation

The issue described in the exhibit is that banking websites are still being inspected despite creating an SSL decryption policy to bypass the inspection of financial and accounting web categories.

Possible Causes:

An incorrect category has been selected (Option B):

If the SSL decryption policy is configured to bypass the wrong category (e.g., not the actual financial and accounting category), it won’t effectively exclude banking websites from inspection.

An incorrect action has been specified (Option D):

If the action specified in the policy is not set to “Bypass,” it won’t achieve the desired behavior. The policy should explicitly bypass SSL inspection for the selected category.

Solution:

Verify that the correct category (financial and accounting) is selected in the policy, and ensure that the action is set to “Bypass.”

To verify the previous value of a structured data field in Salesforce after an unauthorized change, you would use Skope IT with an Access Method of API Connector. This method allows you to search the Application Event Details for the ‘Old Value’ field. By filtering with the user details and the edit activity, you can pinpoint the exact change and retrieve the original value of the field.

References: The approach is consistent with the Netskope Cloud Security Architect’s guidelines for using API Data Protection with Salesforce. The documentation provides a detailed procedure for configuring Salesforce for API Data Protection, which includes the use of Netskope Audit Reports and the ability to track changes through the ‘Old Value’ field

When applications steered through an IPsec tunnel are non-functional, it is often due to the lack of proper trust establishment between the end-user devices and the Netskope data plane. The solution is to install the Netskope root and intermediate certificates on the end-user devices ©. This ensures that the devices recognize and trust the encrypted connection established by the IPsec tunnel, allowing the HTTPS SaaS applications to function correctly. Without these certificates, the devices may not be able to verify the security of the connection, leading to application failures.

References: This solution is based on standard practices for securing IPsec tunnels and ensuring device compatibility with encrypted traffic steering, as outlined in Netskope’s documentation on traffic steering and IPsec configuration

When merging two Advanced Analytics reports in Netskope, if the merged report is missing rows, it is likely due to viewing limits within the system. Netskope’s Advanced Analytics platform has limitations on the number of rows that can be viewed at once, which can result in missing data when dealing with large reports. This viewing limit ensures performance and manageability of the data within the system.

References: The behavior of data viewing limits in Netskope Advanced Analytics is discussed in the Netskope Knowledge Portal, which provides insights into how data is explored and managed within the platform1

Netskope supports automatic remediation of security violations through its Auto-Remediation frameworks, which are available in the public Netskope GitHub Open Source repository. These frameworks allow for the automatic mitigation of risks associated with security misconfigurations in your cloud environment. The Netskope Auto-Remediation framework for AWS, for example, deploys a set of AWS Lambda functions that query the Netskope API at scheduled intervals and automatically mitigates supported violations1. Similarly, there are frameworks for GCP and other cloudenvironments that follow the same principle2. This capability is particularly useful for low-risk environments where the security operations team’s workload can be reduced by automating the remediation process.

References: The answer is based on the information provided by Netskope’s community resources and documentation, which detail the use of their Auto-Remediation frameworks for various cloud platforms