Palo Alto CloudSec-Engineer Certification Exam Syllabus

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Our team of experts has composed this Palo Alto CloudSec-Engineer exam preparation guide to provide the overview about Palo Alto Networks Cloud Security Engineer exam, study material, sample questions, practice exam and ways to interpret the exam objectives to help you assess your readiness for the Palo Alto CloudSec-Engineer exam by identifying prerequisite areas of knowledge. We recommend you to refer the simulation questions and practice test listed in this guide to determine what type of questions will be asked and the level of difficulty that could be tested in the Palo Alto CloudSec-Engineer certification exam.

Palo Alto CloudSec-Engineer Exam Overview:

Exam Name Palo Alto Networks Cloud Security Engineer
Exam Number CloudSec-Engineer
Exam Price $250 USD
Duration 90 minutes
Number of Questions 75-85
Passing Score 860 on a scale of 300 to 1000
Exam Registration PEARSON VUE
Sample Questions Palo Alto CloudSec-Engineer Sample Questions
Practice Exam Palo Alto Networks Certified Cloud Security Engineer Practice Test

Palo Alto CloudSec-Engineer Exam Topics:

Section Weight Objectives
Planning and Installation 12%
- Evaluate the existing cloud and IT infrastructure to align with Cortex Cloud architecture (i.e., multicloud footprint, workload inventory, Cloud-Native Application Protection Platform [CNAPP] tooling, migration)
- Determine Cortex Cloud deployment and license requirements, data source ingestion and retention targets, scanning models (e.g., cloud scan versus Outpost), and cloud provider identity and access management (IAM) requirements (e.g., least-privilege)
- Determine network communication and connectivity requirements for Cortex Cloud components (e.g., egress rules, URLs, ports, regional endpoints)
- Explain the configuration and management lifecycle of user identity, roles, permissions, and access controls within a Cortex tenant (e.g., Scope-Based Access Control [SBAC], custom Role Based Access Control [RBAC] roles, API keys)
- Identify and describe cost optimization methods (e.g., scan cadence, duplicate audit logs)
Integration 16%
- Explain the onboarding and configuration process for cloud provider resources (e.g., AWS, Azure, GCP, OCI)
  • Security capabilities (e.g., Data Security Posture Management [DSPM], audit logs, Cortex XSIAM analytics, agentless scanning, container registry options, serverless function scanning)
  • Cloud scan versus Outpost
- Explain the process of onboarding and configuring data and AI sources (e.g., Office 365, Databricks, Azure Foundry)
- Explain the process of onboarding application development and deployment systems (e.g., GitHub, Jenkins)
- Explain the process of container registry integration (e.g., JFrog, Docker, GitLab)
- Explain the integration process for third-party static application security testing (SAST) / Software Composition Analysis (SCA) tools (e.g., Semgrep, Veracode, Generic SARIF)
- Explain the deployment and configuration process for Broker VM
Posture Security 22%
- Explain the process of dashboard creation and configuration using XQL
- Explain the creation and configuration process for static and dynamic asset groups
- Explain the creation and configuration of cloud security rules and policies (e.g., attack path, configuration, data, identity, network exposure, AI)
- Explain the creation and configuration of cloud workload rules and policies (e.g., custom rules, scanner type, misconfiguration, malware, secrets, trusted images)
- Explain the creation and management of vulnerability policies (i.e., issue creation and prevention)
- Identify and describe methods for managing custom and out-of-the-box compliance standards / controls, assessments, and reporting
- Explain the deployment of Kubernetes connectors
- Identify and describe data security classification settings and scanning options
Runtime Security 18%
- Explain the deployment and configuration of XDR agents (e.g., virtual machines VMs, Containers as a Service [CaaS], serverless functions, Kubernetes)
- Explain the process of endpoint protection configuration
  • Endpoint profiles and policies (e.g., prevention, extension, exceptions)
  • Endpoint groups
- Explain the process of third-party API gateway integration (e.g., AWS, API Gateway, APIM, Apigee)
- Explain the creation and configuration process for Cloud Detection and Response (CDR) and Threat Management
  • Detection rules (e.g., correlation, behavioral indicator of compromise [BIOC], indicator of compromise [IOC], analytic)
  • Automation playbooks
Application Security 16%
- Identify and evaluate Application Security Posture Management (ASPM) features and functionality
  • Business applications (i.e., manual, dynamic)
  • Service-level agreement (SLA) for issues
- Explain rule and policy deployment and management
  • Code security
  • AI-recommended guardrails
  • CI/CD policies
- Explain the configuration and management of repository scanning (e.g., Infrastructure as Code [IaC], secrets, SCA, IaC drift detection)
- Explain the deployment and configuration of Cortex Cloud application security IDE plugins (i.e., VS Code, JetBrains)
- Identify and describe the steps to install, configure, and execute Cortex CLI in workflows
Troubleshooting 16%
- Identify and describe troubleshooting issues related to insufficient cloud service provider (CSP) IAM permissions, CloudFormation / Terraform stack failures, and organization-level onboarding related errors, including ingestion
- Demonstrate knowledge of troubleshooting Cortex Cloud Workload components (e.g., agents / connectors, connectivity issues)
- Demonstrate knowledge of troubleshooting communication gaps between customer-managed outposts and the Cortex tenant
- Demonstrate knowledge of authentication failure resolution (OAuth / PAT) and webhook delivery issues when connecting version control systems (VCS) (e.g., GitHub, GitLab) and CI/CD systems (e.g., Jenkins) to Cortex Cloud
- Identify and describe troubleshooting issues related to Application Security components (e.g., proper policy configuration)
- Identify and describe access and permissions troubleshooting issues
- Explain the process of diagnosing / determining the source of an unexpected Cloud cost increase

Palo Alto CloudSec-Engineer Exam Description:

The Palo Alto Networks Cloud Security Engineer certification validates the knowledge, skills, and abilities required of experienced cloud security engineers in planning for Cloud-Native Application Protection Platform (CNAPP) deployments, cloud account and data source onboarding, security posture management across different domains, cloud workload protection (CWP), Cloud Detection and Response (CDR), application security workflows, troubleshooting common platform issues, and automated remediation. It confirms the ability to maintain end-to-end traceability of issues and implement security guardrails throughout the software development lifecycle (SDLC).

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