Which Prisma Cloud policy type detects port scanning activities in a customer environment?
Answer : B
In the context of Prisma Cloud, the policy type that is specifically designed to detect unusual activities, such as port scanning, within a customer's environment is classified under 'Anomaly.' Anomaly-based policies leverage advanced analytics and machine learning algorithms to identify patterns and behaviors that deviate from the norm, which could indicate potential security threats like port scanning attempts. By detecting such anomalies, these policies help organizations proactively identify and respond to potential reconnaissance activities by attackers seeking to discover open ports and vulnerable services.
Which command correctly outputs scan results to stdout in tabular format and writes scan results to a JSON file while still sending the results to Console?
Answer : C
The correct command to output scan results to stdout in tabular format and write scan results to a JSON file while still sending the results to Console is:
$ twistcli images scan \
--address <console_address> \
--user <username> \
--password
--output-file scan-results.json \
--publish \
nginx:latest
Please replace the placeholders with your actual Prisma Cloud Console address and credentials to execute the command successfully. If you have any more questions or need further assistance, feel free to ask.
A customer is deploying Defenders to a Fargate environment. It wants to understand the vulnerabilities in the image it is deploying.
How should the customer automate vulnerability scanning for images deployed to Fargate?
Answer : A
To automate vulnerability scanning for images deployed to Fargate, the customer should set up a vulnerability scanner on the container registry where the images are stored before they are deployed. By scanning the images in the registry, any vulnerabilities can be identified and addressed before the images are used to create Fargate tasks. This proactive approach to vulnerability management is crucial in cloud-native environments to ensure that deployed containers are free from known vulnerabilities.
Which option identifies the Prisma Cloud Compute Edition?
Answer : B
The Prisma Cloud Compute Edition is identified as B. Downloadable, self-hosted software. This option indicates that Prisma Cloud Compute Edition is a solution that organizations can deploy within their own infrastructure, providing them with control over the installation, configuration, and management of the security platform.
Which RQL query will help create a custom identity and access management (1AM) policy to alert on Lambda functions that have permission to terminate EC2 instances?
Answer : D
During the Learning phase of the Container Runtime Model, Prisma Cloud enters a ''dry run'' period for how many hours?
Answer : D
Learning mode is the phase in which Prisma Cloud performs either static or dynamic analysis. Because the model depends on behavioral inputs, images stay in learning mode for 1 hour to complete the model. After this 1 hour, Prisma Cloud enters a 'dry run' period for 24 hours to ensure there are no behavioral changes and the model is complete. If during these 24 hours, behavioral changes are observed, the model goes back to Learning mode for an additional 24 hours.
Which two actions are required in order to use the automated method within Amazon Web Services (AWS) Cloud to streamline the process of using remediation in the identity and access management (IAM) module? (Choose two.)
Answer : A, D
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.'
'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.