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| Section | Objectives |
|---|---|
| Netskope Security Cloud Fundamentals | - Platform Architecture
|
| Policy Configuration and Management | - Security Policies
|
| Monitoring and Troubleshooting | - Operations and Diagnostics
|
| Cloud Application Security | - Cloud Visibility and Control
|
| Integration and Deployment | - Platform Integration
|
| Data Loss Prevention | - Data Protection
|
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NEW QUESTION # 77
Your customer is concerned aboutmalware in their AWS S3 buckets. What two actions would help with this scenario? (Choose two.)
Answer: C,D
Explanation:
Explanation
To help the customer with the scenario of malware in their AWS S3 buckets, two actions that would help are B: Enable Threat Protection (Malware Scan) for all of their AWS instances to identify malware and C. Create an API protection policy to quarantine malware in their AWS S3 buckets. Threat Protection (Malware Scan) is a feature that allows you to scan files in your cloud services, such as AWS S3, for malware using Netskope's advanced threat protection engine. You can enable Threat Protection (Malware Scan) for all of your AWS instances in the Netskope tenant by going to Settings > Cloud Services > AWS > Threat Protection and selecting the Enable Malware Scan option1. This will help you identify malware in your AWS S3 buckets and generate alerts for further action. An API protection policy is a rule that specifies the actions and notifications that Netskope applies to the data that is already resident in your cloud services, such as AWS S3, based on various criteria. You can create an API protection policy to quarantine malware in your AWS S3 buckets by going to Policies > API Protection > New Policy and selecting the AWS service, the Malware Scan data identifier, and the Quarantine action in the policy page2. This will help you isolate malware in your AWS S3 buckets and prevent it from spreading or being accessed by unauthorized users. Therefore, options B and C are correct andthe other options are incorrect. References: Threat Protection (Malware Scan) - Netskope Knowledge Portal, Add a Policy for API Protection - Netskope Knowledge Portal
NEW QUESTION # 78
An engineering firm is using Netskope DLP to identify and block sensitive documents, including schematics and drawings. Lately, they have identified that when these documents are blocked, certain employees may be taking screenshots and uploading them. They want to block any screenshots from being uploaded.
Which feature would you use to satisfy this requirement?
Answer: B
Explanation:
To block any screenshots from being uploaded, the engineering firm should use the ML image classifier feature of Netskope DLP. This feature uses machine learning to detect sensitive information within images, such as screenshots, whiteboards, passports, driver's licenses, etc. The firm can create a DLP policy that blocks any image upload that matches the screenshot classifier. This will prevent employees from circumventing the DLP controls by taking screenshots of sensitive documents. References: Improved DLP Image Classifiers, Netskope Data Loss Prevention, The Importance of a Machine Learning-Based Source Code Classifier
NEW QUESTION # 79
You have created a specific Skope IT application events query and want to have the query automatically run and display the results every time you log into your tenant.
Which two statements are correct in this scenario? (Choose two.)
Answer: A,B
Explanation:
Adding a Skope IT query to a custom watchlist allows the query to be saved and easily accessed. Saving the watchlist and managing filters also lets you customize it further and share it with others in your organization if needed.
NEW QUESTION # 80
Review the exhibit.
A security analyst needs to create a report to view the top five categories of unsanctioned applications accessed in the last 90 days. Referring to the exhibit, what are two data collections in Advanced Analytics that would be used to create this report? (Choose two.)
Answer: A,C
Explanation:
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
NEW QUESTION # 81
Review the exhibit.
What is the purpose ofthe configuration page shown Iithe exhibit?
Answer: A
Explanation:
Explanation
The configuration page shown in the exhibit is used to onboard Active Directory users to a Netskope tenant.
This is done by configuring the Active Directory settings in the Netskope platform and then importing the users from Active Directory. The configuration page allows you to specify the following parameters:
Directory Service: The type of directory service that you are using, such as Active Directory or LDAP.
Domain Name: The name of your Active Directory domain, such as example.com.
Domain Controller: The IP address or hostname of your Active Directory domain controller, such as dc1.example.com.
Username: The username of an account that has read access to your Active Directory, such as administrator@example.com.
Password: The password of the account that has read access to your Active Directory.
Base DN: The base distinguished name of the container or organizational unit that contains the users and groups that you want to import, such as OU=Users,DC=example,DC=com.
User Filter: The LDAP filter that defines the criteria for selecting the users that you want to import, such as (objectClass=user).
Group Filter: The LDAP filter that defines the criteria for selecting the groups that you want to import, such as (objectClass=group).
After configuring these parameters, you can click on Test Connection to verify that the connection to your Active Directory is successful. Then you can click on Import Users to start importing the users and groups from your Active Directory to your Netskope tenant.
References: Onboarding Active Directory Users to a Netskope Tenant1
NEW QUESTION # 82
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