Netskope NSK101 Dumps Questions Answers

To present a view of all upload activities completed by users tunneled from the Los Angeles office to cloud storage applications, the following two basic filters should be used on the SkopeIT Applications page:

Activity: This filter will allow you to specify the type of activity, in this case, "upload."

Access Method: This filter will help to specify the method of access, which is necessary to filter activities that are tunneled.

These filters combined will provide a comprehensive view of the required activities. For further details, please refer to the Netskope documentation on setting up and using filters in SkopeIT Applications.

References:

Netskope Knowledge Portal: REST API v2 Overview​​.

Postman Collection: API v2​​.

 Create the Report in Advanced Analytics:

Data Collection:

Use the "Page Events" data collection, which captures detailed user activities on web pages, including edits and uploads.

Filters:

Apply filters to include only the activities "Edit" and "Upload".

Add another filter for the Cloud Confidence Level (CCL) to include only those with "Low" or "Poor" ratings.

This ensures the report focuses on the specified user activities within cloud applications that have lower security ratings.

Steps:

Navigate to Advanced Analytics > Reports.

Create a new report and select "Page Events" as the data collection source.

Apply the necessary filters for activities and CCL values.

 Schedule the Report:

Monthly Recurrence:

Set the report to run on a monthly schedule to ensure regular updates.

Configure the report to be sent via email with a PDF attachment.

Steps:

In the report scheduling options, set the recurrence to monthly.

Specify the email recipients, ensuring the CISO receives the report.

Select PDF as the report format.

 References:

For more details on creating and scheduling reports, refer to the Netskope documentation on Advanced Analytics and report generation​​​​.

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