Netskope NSK101 Exam Questions

When adjusting Cloud Confidence Index (CCI) scoring in your Netskope tenant, you can use the following two CCI attributes in a Real-time Protection policy:

App Tag:

App Tags are used to categorize and tag applications based on their functionality, risk level, or compliance requirements. By using App Tags in Real-time Protection policies, you can enforce security measures and monitor activities based on the specific tags assigned to applications.

CCL Level:

CCL (Cloud Confidence Level) is a score assigned to cloud applications based on their risk profile and compliance with security standards. By incorporating CCL Level into your Real-time Protection policies, you can ensure that actions are taken based on the risk level of the applications, such as blocking or monitoring high-risk applications.

Netskope Knowledge Portal: Cloud Confidence Index

Netskope Real-time Protection Policies

Creating a policy group as a logical collection of Real-time Protection policies provides several benefits:

To split up policies by region or business unit: This allows for more granular control and management of policies based on organizational structure. Each region or business unit can have its own set of policies tailored to its specific needs and compliance requirements.

To simplify workflow, allowing exact access to a specific set of policies: Policy groups help streamline the management process by grouping related policies together. This simplifies the workflow for administrators by providing them with access to only the relevant policies they need to manage, reducing complexity and potential for errors.

Netskope documentation on creating and managing policy groups.

Best practices for organizing policies to enhance manageability and operational efficiency.

Netskope's NewEdge Security Cloud Network Infrastructure is designed to provide high performance, security, and scalability for cloud traffic. The following statements are correct about this infrastructure:

It includes direct peering with Microsoft and Google in every data center:

Netskope has established direct peering relationships with major cloud service providers like Microsoft and Google. This direct peering ensures optimized and low-latency connections to these services, improving performance for end-users.

It is a private security cloud network that is over-provisioned, elastic, and built for scale:

The NewEdge network is a private security cloud network that is designed to be highly scalable and elastic. It is over-provisioned to handle large volumes of traffic and can scale up as needed to meet demand. This ensures high availability and performance for users accessing cloud services.

Netskope NewEdge Overview

Netskope Knowledge Portal: NewEdge Network

The three components that make up the Borderless SD-WAN solution are:

Endpoint SD-WAN Client: This client is installed on endpoints (such as laptops and mobile devices) to ensure secure and optimized connectivity to the corporate network, even when users are remote. The Endpoint SD-WAN Client is a critical part of extending SD-WAN capabilities to individual users and devices, providing seamless connectivity and security.

SASE Orchestrator: The Secure Access Service Edge (SASE) Orchestrator is responsible for managing and orchestrating the various components of the SD-WAN solution. It ensures that policies are enforced consistently across the network, manages the deployment of network functions, and provides centralized control and visibility.

SASE Gateway: The SASE Gateway provides secure, optimized access to cloud applications and services. It combines SD-WAN capabilities with advanced security functions, such as firewalling, intrusion prevention, and secure web gateways, to protect data and users as they access resources from different locations.

These components work together to provide a comprehensive SD-WAN solution that addresses the needs of modern, distributed workforces by combining networking and security functions in a unified architecture.

Netskope REST API v2 Overview.

Using the REST API v2 dataexport Iterator Endpoints.

Using the REST API v2 UCI Impact Endpoints.

Netskope SDK on PyPI.

Postman Collection for Netskope REST API.

The exhibit displays rules related to detecting compromised accounts, data exfiltration, and malicious insiders. These types of activities are typically analyzed and detected through user behavior analytics, which involves monitoring and analyzing the behavior of users to identify anomalies that may indicate security incidents or threats.

Behavior Analytics is a component of the Netskope platform that focuses on identifying potential security risks based on user behavior. This includes monitoring for compromised accounts, data exfiltration, and identifying malicious insiders. These analytics help in proactively identifying and mitigating threats by analyzing patterns and anomalies in user activities.

The exhibit showing rules related to compromised accounts, data exfiltration, and malicious insiders aligns with the capabilities provided by Behavior Analytics.

Documentation from the Netskope Knowledge Portal on the behavior analytics capabilities supports this identification.