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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Netskope Security Cloud Architecture & Deployment | 25% | - Platform components and architecture - Deployment models: inline, API, tunnel, client - SASE/SSE framework integration - Steering and traffic management |
| Topic 2: Data Protection & DLP | 20% | - DLP policy design and enforcement - Data loss prevention for cloud apps - Data classification and fingerprinting - Content inspection and context awareness |
| Topic 3: Monitoring, Troubleshooting & Operations | 20% | - Connectivity and integration troubleshooting - Reporting, analytics and visibility - Platform monitoring and logging - Performance optimization and maintenance |
| Topic 4: Zero Trust & Secure Access | 20% | - Granular access control policies - Identity and SSO integration - ZTNA architecture and implementation - Secure web gateway (SWG) capabilities |
| Topic 5: Threat Prevention & Security Policy | 15% | - Compliance and governance controls - Cloud app risk assessment and policy - Advanced threat protection and malware detection - Threat intelligence and automation |
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NEW QUESTION # 25
You are attempting to merge two Advanced Analytics reports with DLP incidents: Report A with 3000 rows and Report B with 6000 rows. Once merged, you notice that the merged report is missing a significant number of rows.
What is causing this behavior?
Answer: D
Explanation:
When merging two Advanced Analytics reports in Netskope, if the merged report is missing rows, it is likely due to viewing limits within the system. Netskope's Advanced Analytics platform has limitations on the number of rows that can be viewed at once, which can result in missing data when dealing with large reports.
This viewing limit ensures performance and manageability of the data within the system.
The behavior of data viewing limits in Netskope Advanced Analytics is discussed in the Netskope Knowledge Portal, which provides insights into how data is explored and managed within the platform1
NEW QUESTION # 26
Your CISO asks that you to provide a report with a visual representation of the top 10 applications (by number of objects) and their risk score. As the administrator, you decide to use a Sankey visualization in Advanced Analytics to represent the data in an efficient manner.
In this scenario, which two field types are required to produce a Sankey Tile in your report? {Choose two.)
Answer: B,D
Explanation:
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.
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.
NEW QUESTION # 27
A hospital has a patient form that they share with their patients over Gmail. The blank form can be freely shared among anyone. However, if the form has any information filled out. the document is considered confidential.
Which rule type should be used in the DLP profile to match such a document?
Answer: A
Explanation:
The appropriate rule type to use in the DLP profile for a document that is considered confidential when filled out isfingerprint classification. Fingerprinting is a method used to identify and protect sensitive data within documents. It works by creating a digital fingerprint of a file, which can then be used to detect any copies or derivatives of that file.In this case, fingerprinting would allow the hospital to differentiate between the blank patient form, which can be freely shared, and the same form with patient information filled out, which is confidential1.
Netskope's DLP rules can contain elements such as predefined data identifiers, custom data identifiers, keyword identifiers from a dictionary file, RegEx expressions, and exact match criteria1.For this specific use case, fingerprint classification is the most effective method as it can accurately detect the presence of filled- out information in the forms, which is crucial for maintaining patient confidentiality as per HIPAA regulations1.
NEW QUESTION # 28
You successfully configured Advanced Analytics to identify policy violation trends Upon further investigation, you notice that the activity is NULL. Why is this happening in this scenario?
Answer: A
Explanation:
In Netskope's Advanced Analytics, the activity field captures the specific user action associated with a cloud access event, such as Upload, Download, Login, or Post. When a user accesses a static web page, no structured activity is associated with the request because static page loads do not trigger CASB activity classification in the same manner as application-specific operations. As a result, the activity field for such events will appear as NULL in the Advanced Analytics dataset. This is expected behavior when traffic primarily consists of web browsing without interaction with a recognized cloud application function. SSPM policy configuration and REST API token expiration would affect data availability more broadly, not selectively null out the activity field for specific event types.
NEW QUESTION # 29
You successfully configured Advanced Analytics to identify policy violation trends Upon further investigation, you notice that the activity is NULL. Why is this happening in this scenario?
Answer: A
NEW QUESTION # 30
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