Free Paloalto Networks PCCSE Practice Exam with Questions & Answers | Set: 3

To add AWS accounts to the Prisma Cloud Enterprise tenant, the correct API endpoint is option C: https://api.prismacloud.io/cloud/aws. This endpoint is specifically designed for integrating cloud accounts with Prisma Cloud, enabling centralized visibility and security posture management across multiple cloud environments. By using this API endpoint, each AWS account can be individually onboarded to the Prisma Cloud platform, allowing for immediate posture visibility and consistent security policy enforcement across the newly acquired company's extensive AWS footprint. This process aligns with Prisma Cloud's capabilities for multi-cloud security and compliance management, ensuring that the onboarding of cloud accounts is both efficient and aligned with the platform's best practices for cloud security.

Upon enabling alarms in Prisma Cloud, two critical alarm types that are registered are Onboarded Cloud Accounts status (A) and External integrations status (D). These alarms are pivotal for maintaining the health and security of the cloud environment. The Onboarded Cloud Accounts status alarms alert administrators about the connectivity and health of cloud accounts integrated with Prisma Cloud, ensuring continuous monitoring and security coverage. The External integrations status alarms provide notifications regarding the operational status of third-party services and tools integrated with Prisma Cloud, such as SIEMs, ticketing systems, or other security tools, ensuring that these integrations function correctly to support comprehensive security and incident response workflows.

To utilize the automated method for remediation within the Amazon Web Services (AWS) Cloud, specifically for the Identity and Access Management (IAM) module, two critical actions are required: installing the boto3 and requests libraries, and configuring the IAM AWS remediation script.

The boto3 library is AWS's SDK for Python, allowing Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. The requests library is a Python HTTP library designed for human beings, enabling easy interaction with HTTP services. Together, these libraries are foundational for scripting AWS services, including automating remediation tasks within IAM.

Configuring the IAM AWS remediation script is the second critical step. This script is tailored to interact with AWS IAM to automate the remediation of identified security issues, such as excessive permissions, unused IAM roles, or improperly configured policies. The script uses the boto3 library to communicate with AWS services, applying the necessary changes to align IAM configurations with security best practices.

These actions are essential for leveraging automation to enhance IAM security within AWS, ensuring that IAM configurations adhere to the principle of least privilege and other security best practices. This approach aligns with Prisma Cloud's capabilities and recommendations for cloud security, emphasizing the importance of automation in maintaining a robust security posture, as discussed in resources like the "Prisma Cloud Visibility and Control Qualification Guide" and the "Guide to Cloud Security Posture Management Tools."

References:

• "Prisma Cloud Visibility and Control Qualification Guide" highlights the significance of automated security controls and remediation within cloud environments, supporting the use of scripts and libraries for IAM remediation in AWS.
• "Guide to Cloud Security Posture Management Tools" emphasizes the importance of automation in cloud security, particularly for managing and remediating IAM configurations to ensure compliance and minimize risks.

The correct command to generate the YAML file for Defender install in a Kubernetes cluster, considering the console and websocket addresses, as well as the admin user, would typically involve specifying the addresses and user details. The option D seems most aligned with standard practices for such commands, where you export the Defender configuration for Kubernetes, specifying the console and websocket addresses along with the user details.

The correct RQL (Resource Query Language) that detected the vulnerability is:

config from cloud.resource where cloud.type = 'aws' and api.name = 'aws-iam-get-credential-report' AND json.rule = '(access_key_1_active is true and access_key_1_last_rotated != N/A and DateTime. ageInDays (access_key_1_last_rotated) > 90) or (access_key_2_active is true and access_key_2_last_rotated != N/A and _DateTime. ageInDays (access_key_2_last_rotated) > 90)'

This RQL is designed to check the age of the AWS IAM user's access keys to ensure that they are rotated within a recommended period, typically 90 days. If the access keys have not been rotated within this timeframe, it would be considered a security risk or vulnerability, as old keys may potentially be compromised. By enforcing access key rotation, it minimizes the risk of unauthorized access.

The reference for this type of policy check can be seen in cloud security best practices that advocate for regular rotation of access keys to minimize the potential impact of key compromise. CSPM tools like Prisma Cloud include such checks to automate compliance with these best practices.

https://docs.paloaltonetworks.com/prisma/prisma-cloud/prisma-cloud-admin/manage-prisma-cloud-alerts/prisma-cloud-alert-resolution-reasons

In Prisma Cloud, POLICY_UPDATED is a valid reason for the dismissal of an alert. This reason indicates that an alert can be dismissed if the policy that triggered the alert has been updated. When a policy is updated to no longer apply to certain resources or conditions, any open alerts that were generated based on the previous version of the policy may be dismissed as they are no longer relevant.

The other options, such as SNOOZED_AUTO_CLOSE, ALERT_RULE_ADDED, and USER_DELETED, are not standard reasons for the dismissal of an alert in Prisma Cloud. SNOOZED_AUTO_CLOSE refers to the temporary suspension of an alert, ALERT_RULE_ADDED is related to the creation of a new alert rule, and USER_DELETED would pertain to the removal of a user account, not directly to alert dismissal.

The auto suggest works with the operators = and IN . It is not supported for array objects. Use cloud.type attribute to refine the search results. https://docs.paloaltonetworks.com/prisma/prisma-cloud/prisma-cloud-rql-reference/rql-reference/event-query/event-query-attributes

https://docs.paloaltonetworks.com/prisma/prisma-cloud/prisma-cloud-rql-reference/rql-reference/event-query/event-query-examples

To create a network exposure policy that identifies instances accessible from any untrusted internet sources, a SecOps engineer would need to navigate to the Policy section within Prisma Cloud and add a new policy of the Config type. They would define the details of the policy such as the name and severity level and then configure the RQL query to specify conditions that match instances accessible from untrusted internet sources. The RQL query provided in the answer specifies that the source of the network traffic should be from an untrusted internet and that the destination resource should be an instance in the AWS cloud. After defining the compliance standards and providing recommendations for remediation, the policy can be saved to be enforced within the environment.