Netskope NSK101 Netskope Certified Cloud Security Administrator (NCCSA) Exam Practice Test

If the Cloud Storage category is in the Steering Configuration as an exception, then Netskope will not steer any traffic to or from cloud storage applications, such as Microsoft 365 OneDrive, to its platform. This means that Netskope will not be able to inspect or apply any policies to this traffic, including DLP policies. Similarly, if the destination domain is excluded from decryption in the decryption policy, then Netskope will not decrypt any traffic to or from that domain, such as onedrive.com. This means that Netskope will not be able to inspect or apply any policies to this traffic, including DLP policies. The location of the Netskope POP or the use of IPsec as a steering option do not affect the application of DLP policies, as long as Netskope can steer and decrypt the relevant traffic. References: Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 3: Steering Configuration, Lesson 1: Steering Options and Lesson 2: Exceptions; Module 4: Decryption Policy, Lesson 1: Decryption Policy Overview and Lesson 2: Decryption Policy Configuration.

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In this scenario, there are three probable causes for the issue of users not being able to access external websites from their browsers after attempting to steer traffic to Netskope using GRE tunnels. One cause is that the configured GRE peer in the Netskope platform is incorrect, which means that the Netskope POP that is supposed to receive the GRE traffic from the customer’s network is not matching the IP address of the customer’s router that is sending the GRE traffic. This will result in a failure to establish a GRE tunnel between the customer and Netskope. Another cause is that the corporate firewall might be blocking GRE traffic, which means that the firewall rules are not allowing the GRE protocol (IP protocol number 47) or the UDP port 4789 (for VXLAN encapsulation) to pass through. This will result in a failure to send or receive GRE packets between the customer and Netskope. A third cause is that the route map was applied to the wrong router interface, which means that the configuration that specifies which traffic should be steered to Netskope using GRE tunnels was not applied to the correct interface on the customer’s router. This will result in a failure to steer the desired traffic to Netskope. The pre-shared key for the GRE tunnel is incorrect is not a probable cause for this issue, as GRE tunnels do not use pre-shared keys for authentication or encryption. Netskope does support GRE tunnels, so this is not a cause for this issue either. References: [Netskope Secure Forwarder], Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 3: Steering Configuration, Lesson 3: Secure Forwarder.

To deploy Netskope’s zero trust network access (ZTNA) solution, NPA, you need to enable Steer all Private Apps in your existing steering configuration(s) from the admin console. This will allow you to create private app profiles and assign them to your applications. NPA will then provide secure and granular access to your applications without exposing them to the internet or requiring VPNs. References: [Netskope Private Access (NPA) Deployment Guide]

A file filter is a list of file hashes that you can use to exclude files from inspection by Netskope. By adding the hash of the file that triggered a false alarm to the file filter, you can prevent it from being scanned again by Netskope and avoid generating another incident. Quarantining the file, exporting the packet capture, or looking up the hash at VirusTotal are not effective ways to prevent the same file from triggering another incident, as they do not affect how Netskope handles the file. References: Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 6: Data Loss Prevention, Lesson 2: File Filters.

The inline and API implementation of the Netskope platform are two different ways of connecting cloud applications to Netskope for inspection and policy enforcement. Two fundamental differences between them are: The API implementation can only be used with sanctioned applications, which are applications that are approved and authorized by the organization for business use. The API implementation relies on using out-of-band API connections to access data and events from these applications and apply near real-time policies. The inline implementation can effectively block a transaction in both sanctioned and unsanctioned applications, which are applications that are not approved or authorized by the organization for business use. The inline implementation relies on using in-band proxy or reverse-proxy connections to intercept traffic to and from these applications and apply real-time policies. The API implementation can be used with both sanctioned and unsanctioned applications and the inline implementation can only effectively block a transaction in sanctioned applications are not true statements, as they contradict the actual capabilities and limitations of each implementation method. References: [Netskope SaaS API-enabled Protection], [Netskope Inline CASB].

Two statements that are correct about DLP Incidents in the Netskope platform are: An incident can have one or more DLP violations and an incident can be associated to one or more DLP rules. A DLP violation occurs when a file or object matches a DLP rule used in a DLP profile. A DLP rule defines the criteria for detecting sensitive data, such as keywords, regular expressions, fingerprints, machine learning classifiers, etc. A DLP profile is a collection of DLP rules that can be applied to a policy. An incident is a record of a file or object that triggered a DLP policy violation. An incident can have multiple violations if the file or object matches multiple DLP rules from different profiles. An incident can also be associated to multiple DLP rules if the file or object matches more than one rule from the same profile. References: About DLPDLP Profiles

To collect the logs from the client machine when you have an issue with the Netskope client connecting to the tenant, two ways that you can use are: from the Netskope client UI About page and from the command line using the nsdiag command. From the Netskope client UI About page, you can click on the “Collect Logs” button to generate a zip file containing all the relevant logs and configuration files from the client machine. You can then send this zip file to Netskope support for troubleshooting. From the command line, you can use the nsdiag command with various options to collect different types of logs and diagnostic information from the client machine. For example, you can use nsdiag -l to collect all logs, nsdiag -c to collect configuration files, nsdiag -t to collect traffic statistics, etc. You can also use nsdiag -h to see all available options and usage instructions. You can then send the output files to Netskope support for troubleshooting. References: Netskope Client Configuration overviewInstall and Test the Client - Netskope Knowledge Portal

PCI-DSS stands for Payment Card Industry Data Security Standard, which is a set of security requirements for organizations that handle credit card data. It aims to protect cardholder data from unauthorized access, disclosure, or theft, both in transit and at rest. PCI-DSS covers various aspects of security, such as encryption, authentication, firewall, logging, monitoring, and incident response. If you are working with a large retail chain and have concerns about theircustomer data, you should use PCI-DSS as the regulatory compliance standard to govern this data. SOC 3, AES-256, and ISO 27001 are not specific to credit card data protection, although they may have some relevance to general security practices. References: [PCI-DSS], [SOC 3], [AES-256], [ISO 27001].

An App Instance is a feature in the Netskope platform that allows you to define and identify different instances of the same cloud application based on the domain name or URL. For example, you can define an App Instance for your enterprise Google Drive instance (such as drive.google.com/a/yourcompany.com) and another App Instance for your personal Google Drive instance (such as drive.google.com). This way, you can differentiate between them and apply different policies and actions based on the App Instance. You would want to define an App Instance to achieve this level of granularity and control over your cloud application activities. Creating an API Data Protection Policy for a personal Box instance, enabling the instance_id attribute in the advanced search field, or differentiating between an enterprise Google Drive instance vs. an enterprise Box instance are not valid reasons to define an App Instance, as they are either unrelated or irrelevant to the App Instance feature. References: Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 5: Real-Time Policies, Lesson 4: App Instances.

Two statements that describe a website categorized as a domain generated algorithm (DGA) are: The website is used to hide a command-and-control server and the domain was created by a program. A domain generated algorithm (DGA) is a technique used by cyber attackers to generate new domain names and IP addresses for malware’s command and control servers. Executed in a manner that seems random, it makes it nearly impossible for threat hunters to detect and contain the attack. A command-and-control server is a server that communicates with malware installed on infected machines and sends commands or updates to them. A program is a piece of software that performs a specific task or function. A domain generated algorithm is implemented by a program that runs on the attacker’s machine or the malware itself, and produces a large number of domain names based on some logic, such as date, time, seed, dictionary, etc. References: Domain generation algorithmAmong cyber-attack techniques, what is a DGA?

Legacy solutions, such as on-premises firewalls and proxies, fail to secure the data and data access compared to Netskope Secure Web Gateway because they are designed for a perimeter-based security model, where the applications and the users are both within the corporate network. However, with the rise of cloud computing and remote work, this model is no longer valid. The applications where the data resides are no longer in one central location, but distributed across multiple cloud services and regions. The users accessing this data are not in one central place, but working from anywhere, on any device. Legacy solutions cannot provide adequate visibility and control over this dynamic and complex environment, resulting in security gaps and performance issues. Netskope Secure Web Gateway, on the other hand, leverages a cloud-native architecture that provides high-performance and scalable inspection of traffic from any location and device, as well as granular policies and advanced threat and data protection for web and cloud applications. References: Netskope Architecture OverviewNetskope Next Gen SWG

SaaS API-enabled Protection is a primary function in the Netskope platform that allows customers to connect their sanctioned SaaS applications to Netskope using out-of-band API connections. This enables customers to find sensitive content, enforce near real-time policy controls, and quarantine malware in their SaaS applications without affecting user experience or performance. If you want to use an out-of-band API connection into your sanctioned Microsoft 365 OneDrive for Business application to achieve these goals, you should use SaaS API-enabled Protection as the primary function in the Netskope platform. DLP forensics, Risk Insights, and IaaS API-enabled Protection are not primary functions in the Netskope platform that can be used to connect your application to Netskope. References: [Netskope SaaS API-enabled Protection].

To protect your users from malicious scripts that may be downloaded from websites, you need to use technologies that can detect and prevent malware, ransomware, phishing, and other advanced threats in web traffic. Two technologies that form a part of Netskope’s Threat Protection module, which is a feature in the Netskope platform that provides these capabilities, are sandbox and heuristics. Sandbox is a technology that allows Netskope to analyze suspicious files or URLs in a virtual environment isolated from the rest of the network. It simulates the execution of the files or URLs and observes their behavior and impact on the system. It then generates a verdict based on the analysis and blocks any malicious files or URLs from reaching your users or devices. Heuristics is a technology that allows Netskope to identify unknown or emerging threats based on their characteristics or patterns, rather than relying on predefined signatures or rules. It uses machine learning and artificial intelligence to analyze various attributes of files or URLs, such as file type, size, entropy, metadata, code structure, etc., and assigns a risk score based on the analysis. It then blocks any files or URLs that exceed a certain risk threshold from reaching your users or devices. A log parser or DLP are not technologies that form a part of Netskope’s Threat Protection module, as they are more related to discovering cloud applications or protecting sensitive data. References: [Netskope Threat Protection], Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 9: Threat Protection.

In this scenario, policy B is more restrictive than policy A, as it blocks users from downloading files from any OS other than Mac or Windows for cloud storage, while policy A only generates alerts when any user downloads, uploads, or shares files on a cloud storage application. Therefore, policy B should be implemented before policy A, as the policy order determines the order of evaluation and enforcement of the policies. If policy A is implemented before policy B, then policy B will never be triggered, as policy A will match all the download activities for cloud storage and generate alerts. The policy order is important; policies are not independent of each other, as they may have overlapping or conflicting conditions and actions. These two policies would actually work together, as long as they are ordered correctly. References: Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Course, Module 5: Real-Time Policies, Lesson 3: Policy Order.

The Building Security in Maturity Model (BSIMM) is a framework that measures and compares the security activities of different organizations. It helps organizations to assess their current security practices and identify areas for improvement. ISO 27001 is an international standard that specifies the requirements for establishing, implementing, maintaining, and improving aninformation security management system. It helps organizations to manage their information security risks and demonstrate their compliance with best practices. Data Science Council of America (DASCA) is not a security framework, but a credentialing body for data science professionals. NIST Cybersecurity Framework (NIST CSF) is a security framework, but it is not commonly used to assess and validate a vendor’s security practices, as it is more focused on improving the cybersecurity of critical infrastructure sectors in the United States. References: [BSIMM], [ISO 27001], [DASCA], [NIST CSF].

To discover GDPR data publicly exposed in Microsoft 365, Salesforce, and Slack-sanctioned cloud applications, you need to use a deployment model that allows Netskope to access and scan the data stored in these applications using out-of-band API connections. The deployment model that would match this requirement is API-enabled protection, which is a feature in the Netskope platform that allows you to connect your sanctioned cloud applications to Netskope using API connectors. This enables you to discover sensitive data, enforce near real-time policy controls, and quarantine malware in your cloud applications without affecting user experience or performance. You can use Netskope’s data loss prevention (DLP) engine to scan for GDPR data in your cloud applications and identify any public exposure or sharing settings that may violate the regulation. A reverse proxy, an on-premises appliance, or an inline protection are not deployment models that would help you discover GDPR data publicly exposed in your sanctioned cloud applications, as they are more suitable for inline modes that rely on intercepting traffic to and from these applications in real time, rather than accessing data stored in these applications using APIs. References: [Netskope SaaS API-enabled Protection], [Netskope Data Loss Prevention].

The statement that is true in this scenario is: Certificate-related settings apply to each individual steering configuration level. Certificate-related settings are the options that allow you to configure how Netskope handles SSL/TLS certificates for encrypted web traffic. For example, you can choose whether to allow or block self-signed certificates, expired certificates, revoked certificates, etc. You can also choose whether to enable SSL decryption for specific domains or categories. Certificate-related settings apply to each individual steering configuration level, which means that you can have different settings for different types of traffic or devices. For example, you can have one steering configuration for managed devices and another one for unmanaged devices, and apply different certificate-related settings for each one. This allows you to customize your security policies based on your needs and preferences. References: Netskope SSL DecryptionNetskope Steering Configuration

CASB inline interception use cases are scenarios where you need to apply real-time policies and actions on the traffic between users and cloud applications. For example, you may want to block file uploads to a personal Box account to prevent data leakage or exfiltration. You can use Netskope’s inline proxy mode to intercept and inspect the traffic between users and Box, and apply granular policies based on user identity, device type, app instance, file metadata, etc. You can also use Netskope’s inline proxy mode to provide user alerts when sensitive information is posted in Slack. For example, you may want to warn users when they share credit card numbers or social security numbers in Slack channels or messages. You can use Netskope’s steering client to redirect the traffic between users and Slack to Netskope’s inline proxy for inspection and enforcement. You can also use Netskope’s DLP engine to detect sensitive data patterns and apply actions such as alerting or blocking. References: Netskope Inline Proxy ModeNetskope Steering Client [Netskope DLP Engine]