NSK300 Exam Dumps : Netskope Certified Cloud Security Architect Exam

Sankey diagram

Sankey diagram

To produce a Sankey Tile in a report that visually represents the top 10 applications by number of objects and their risk score, you would need:

• Dimension (A): This field type would be used to represent the nodes in the Sankey visualization, which could be the applications in this case1.
• Measure (B): This field type would provide the weight of the links between the nodes, representing the number of objects or the risk score associated with each application1.

These two field types are essential for creating a Sankey visualization as they define the structure and flow of data between different stages or categories within the visualization.

References: The requirements for creating a Sankey visualization are based on the general principles of data visualization and the specific features of Sankey diagrams, which typically involve dimensions and measures to represent the flow of data1.

To validate that the GRE tunnel is configured correctly and that traffic is flowing to Netskope, the correct statements are:

• A: You can use your local router or network device to verify that keepalives are being received and traffic is flowing to Netskope. This is a standard method for checking the health and activity of a GRE tunnel.
• C: You can verify that the tunnel is up and receiving traffic in the Netskope UI under Settings > Security Cloud Platform > GRE. This is a feature provided by Netskope to monitor the status of GRE tunnels directly from the Netskope interface12.

Statement B is incorrect because Netskope provides its own tools for monitoring the status of the tunnel. Statement D is incorrect because the Netskope Trust portal provides information on the overall service status and updates, not specific tunnel status3.

References: The references for these answers can be found in the Netskope Knowledge Portal, which provides detailed guidance on configuring and validating GRE tunnels12. Additionally, the Netskope Community Forum offers insights and solutions for deploying and monitoring GRE tunnels

Fingerprinting would satisfy the requirement to prevent the exfiltration of sensitive Personally Identifiable Information (PII) data by employees and contractors. Fingerprinting is a data protection technique that involves creating a unique digital representation of sensitive data. This allows for the detection of any exact or partial matches of the fingerprinted data leaving the company’s environment, thereby preventing unauthorized data exfiltration.It is particularly effective in scenarios where multiple individuals require access to sensitive data, as it can protect against both inadvertent and malicious attempts to move data outside of authorized channels1.

References: Netskope’s Data Loss Prevention (DLP) capabilities include fingerprinting as a method to secure sensitive data consistently across the enterprise1.The Netskope Knowledge Portal provides further information on how to enable and configure fingerprinting and other DLP settings to protect sensitive PII data2.