NSK200 Netskope Certified Cloud Security Integrator (NCCSI) Free Practice Exam Questions (2026 Updated)

To identify and monitor the specific forms used by the city and block the employees from downloading completed forms, you need to use document fingerprinting. Document fingerprinting is a feature that allows you to create a unique signature for a document based on its content and structure. You can then use this signature to match other documents that are similar or identical to the original document3. You can create a document fingerprinting profile in Netskope by uploading a sample document or selecting one from your cloud services4. You can then use this profile in your data protection policies to apply actions such as block, alert, or quarantine to the documents that match the fingerprint5. Therefore, option C is correct and the other options are incorrect. References: Document Fingerprinting - Netskope Knowledge Portal, Create a Document Fingerprinting Profile - Netskope Knowledge Portal, Add a Policy for Data Protection - Netskope Knowledge Portal

To create a report to view the top five categories of unsanctioned applications accessed in the last 90 days, the security analyst would need to use two data collections in Advanced Analytics: Application Events and Network Events. Application Events provide information about the cloud applications and websites accessed by users, such as app name, app category, app risk score, app instance, app version, and more. Network Events provide information about the network traffic generated by users, such as source IP, destination IP, protocol, port, bytes sent, bytes received, and more. By combining these two data collections, the security analyst can filter the events by app category, app risk score, and time range to create a report that shows the top five categories of unsanctioned applications accessed in the last 90 days. Alerts and Page Events are not relevant for this report. Alerts provide information about the alerts triggered by Real-time Protection or API Data Protection policies, such as alert type, alert severity, alert status, alert description, and more. Page Events provide information about the web pages visited by users, such as page title, page URL, page category, page risk score, page content type, and more. References: Advanced Analytics

The problem in this scenario is that the Netskope client connection is being decrypted by a network security device. This is evident from the log message “ERROR SSL certificate verification failed: self signed certificate in certificate chain”. This means that the Netskope client is receiving a certificate that is not issued by Netskope, but by a device that is intercepting and decrypting the traffic between the client and the Netskope cloud. This can cause the client to fail to download the required configuration and remain in a disabled state1. Therefore, option B is correct and the other options are incorrect. References: Troubleshooting Netskope Client - Netskope Knowledge Portal, Using Netskope Client - Netskope Knowledge Portal

The correct practice is to place high-priority rules, such as those with specific scanning actions, at the top of the Real-time Protection policy rule list. Placing the rule at the top ensures it is applied before other less restrictive rules, like those configured only for browsing activities​​.

Two reasons for the message “Disabled due to error” when hovering the mouse over the Netskope client icon are A. The client service is manually stopped and C. The client health check has failed. The client service is a background process that runs the Netskope client on the user’s device and communicates with the Netskope cloud. If the client service is manually stopped by the user or by another program, the Netskope client will be disabled and show a red dot on the icon1. The client health check is a feature that monitors the status of the Netskope client and performs self-repair actions if any issues are detected. If the client health check has failed, it means that the Netskope client has encountered a critical error that cannot be fixed automatically, such as corrupted files or registry entries. In this case, the Netskope client will be disabled and show a red dot on the icon2. Therefore, options A and C are correct and the other options are incorrect. References: Troubleshooting Netskope Client - Netskope Knowledge Portal, Client Health Check - Netskope Knowledge Portal

To reduce false positives by only triggering policies when contents of your customer database are uploaded to Dropbox, you can use two methods: Upload the .csv export to the Netskope tenant DLP rules section to create an exact match hash. This is a method that allows you to upload a file containing structured data, such as a customer database, to the Netskope tenant and generate a hash of the data. The hash is then used to match the data in the cloud traffic and trigger DLP policies. This method is suitable for files that are less than 10 MB in size. To upload the file, you need to go to Policies > Data Protection > DLP Rules and click on Exact Match Hashes. Then you can select the file from your local system and upload it. Use a Netskope virtual appliance to create an exact match hash. This is a method that allows you to create a file containing structured data, such as a customer database, and upload it to the Netskope cloud using a virtual appliance. The virtual appliance encrypts the file before uploading it and generates a hash of the data. The hash is then used to match the data in the cloud traffic and trigger DLP policies. This method is suitable for files that are larger than 10 MB in size. To create the file, you need to follow a specific format and save it as a .csv file. To upload the file, you need to use the request dlp-pdd upload command on the virtual appliance CLI. The other options are not valid methods for this task. You cannot use the Netskope client to upload the .csv export to the Netskope management plane DLP container, as this is not a supported feature of the client. You cannot send the .csv export to Netskope using a support ticket with the subject, “create exact match hash”, as this is not a secure or efficient way of creating an exact match hash. References: Create an Exact Match Hash from the UI1, Create an Exact Match Hash from a Virtual Appliance2

GRE tunnels are the optimal choice in this scenario. GRE is a commonly used, non-encrypted tunneling protocol that supports a variety of device operating systems, and it offers efficient bandwidth usage without encryption overhead, which aligns with the company’s requirements​​.

To ensure user privacy in the Events and Reports view, obfuscate sensitive information like User IPs, User names, and Source location information. This helps protect identities and prevent location tracking of users while allowing visibility into activity details​​.

To find the answers to the questions posed by the security incident response team, you need to search in the Application Events and Alerts tables in Skope IT. The Application Events table shows the details of the cloud application activities performed by the users, such as upload, download, share, etc. You can filter the Application Events table by the MD5 hash of the file to find out who has encountered this file and from which cloud service it was downloaded1. The Alerts table shows the details of the policy violations triggered by the users, such as DLP, threat protection, anomaly detection, etc. You can filter the Alerts table by the MD5 hash of the file to find out if this file was detected as malware by Netskope and what action was taken2. Therefore, options A and C are correct and the other options are incorrect. References: Application Events - Netskope Knowledge Portal, Alerts - Netskope Knowledge Portal

To filter for logs specifically generated by the Netskope client, select " Client " from the access_method filter dropdown menu in Skope IT. This filter allows administrators to narrow down logs by access method, making it easier to troubleshoot issues related only to the Netskope client​​.

To discover new cloud applications in use within an organization, three methods that would accomplish this task are B. Deploy an On-Premises Log Parser (OPLP), C. Use forward proxy steering methods to direct cloud traffic to Netskope, and E. Upload firewall or proxy logs directly into the Netskope platform. An On-Premises Log Parser (OPLP) is a software component that allows you to parse logs from your on-premises firewall or proxy devices and send them to the Netskope cloud for analysis and reporting. You can deploy an OPLP on a Linux server in your network and configure it to connect to your log sources and upload logs periodically or in real time3. A forward proxy steering method is a way of directing your web traffic from your users’ devices or browsers to the Netskope cloud for inspection and policy enforcement. You can use forward proxy steering methods such as PAC file, VPN, or inline proxy to steer traffic to Netskope and discover new cloud applications in use4. Uploading firewall or proxy logs directly into the Netskope platform is a way of manually sending logs from your log sources to the Netskope cloud for analysis and reporting. You can upload firewall or proxy logs directly into the Netskope platform by going to SkopeIT > Settings > Log Upload > New Log Upload and selecting the log source type, file format, log file, and time zone5. Therefore, options B, C, and E are correct and the other options are incorrect. References: On-Premises Log Parser - Netskope Knowledge Portal, Traffic Steering - Netskope Knowledge Portal, Upload Firewall or Proxy Logs Directly into the Platform - Netskope Knowledge Portal

Integrating with EDR vendors like Crowdstrike requires an API Client ID for authentication and data sharing. A remediation profile is also necessary to define automated actions that can be taken when threats are detected, ensuring effective response to endpoint threats​​.

Allowing UDP port 443 is recommended to support DTLS, which enhances performance over the Netskope tunnel. TCP port 443 must also be allowed as it is essential for secure HTTPS connections used by Netskope services​​.

Netskope’s Real-time Protection policies and API Data Protection policies have different ways of applying actions based on the policy order. Real-time Protection policies are analyzed sequentially from top to bottom and stop once a policy is matched. This means that only one policy action is applied per transaction. API Data Protection policies are all enforced, regardless of sequential order. This means that multiple policy actions can be applied per file or email. Therefore, the correct statement is that all API policies are enforced, regardless of sequential order, while real-time policies are analyzed sequentially from top to bottom and stop once a policy is matched. References: Real-time Protection Policies1, API Data Protection Policies2

To investigate which of the Netskope DLP policies are creating the most incidents, the following two statements are true:

You can see the top five DLP policies triggered using the Analyze feature. The Analyze feature allows you to create custom dashboards and widgets to visualize and explore your data. You can use the DLP Policy widget to see the top five DLP policies that generated the most incidents in a given time period3.

You can create a report using Reporting or Advanced Analytics. The Reporting feature allows you to create scheduled or ad-hoc reports based on predefined templates or custom queries. You can use the DLP Incidents by Policy template to generate a report that shows the number of incidents per DLP policy4. The Advanced Analytics feature allows you to run SQL queries on your data and export the results as CSV or JSON files. You can use the DLP_INCIDENTS table to query the data by policy name and incident count5.

The other two statements are not true because:

The Skope IT Applications tab will not list the top five DLP policies. The Skope IT Applications tab shows the cloud app usage and risk summary for your organization. It does not show any information about DLP policies or incidents6.

The Skope IT Alerts tab will not list the top five DLP policies. The Skope IT Alerts tab shows the alerts generated by various policies and profiles, such as DLP, threat protection, IPS, etc. It does not show the number of incidents per policy, only the number of alerts per incident7.

The Dictionary feature in Netskope DLP is designed to detect specific keywords or phrases, such as " Confidential " or " Access key. " By using a pre-defined list of sensitive terms, the Dictionary feature enables policy enforcement based on the presence of these keywords in data​​.

To monitor the activities that users perform on a homegrown cloud application, you need to create a new cloud application definition using the Chrome extension. The Chrome extension is a tool that allows you to record the traffic and activities of any web-based application and create a custom app definition that can be imported into your Netskope tenant1. This way, you can enable Netskope to detect and analyze the activities of your homegrown cloud application and apply policies accordingly. Therefore, option D is correct and the other options are incorrect. References: Creating a Cloud App Definition - Netskope Knowledge Portal

Netskope’s GRE tunneling supports only web traffic, which means ICMP traffic (ping) is not supported for hosts behind the Netskope gateway. You may, however, ping the probe IP provided by Netskope to test connectivity, as this IP is designated for diagnostics​​.

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