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Palo Alto Networks Cybersecurity-Practitioner Exam Questions
- Topic 1: Cybersecurity: This domain covers foundational security concepts including AAA framework, MITRE ATT&CK techniques, Zero Trust principles, advanced persistent threats, and common security technologies like IAM, MFA, mobile device management, and secure email gateways.
- Topic 2: Network Security: This domain addresses network protection through Zero Trust Network Access, firewalls, microsegmentation, and security technologies like IPS, URL filtering, DNS security, VPN, and SSL/TLS decryption, plus OT/IoT concerns, NGFW deployments, Cloud-Delivered Security Services, and Precision AI.
- Topic 3: Secure Access: This domain examines SASE and SSE architectures, security challenges for data and applications including AI tools, and technologies like Secure Web Gateway, CASB, DLP, Remote Browser Isolation, SD-WAN, and Prisma SASE solutions.
- Topic 4: Cloud Security: This domain covers cloud architectures, security challenges across application security, cloud posture, and runtime security, protection technologies like CSPM and CWPP, Cloud Native Application Protection Platforms, and Cortex Cloud functionality.
- Topic 5: Endpoint Security: This domain addresses endpoint protection including indicators of compromise, limitations of signature-based anti-malware, UEBA, EDR/XDR, Behavioral Threat Prevention, endpoint security technologies like host firewalls and disk encryption, and Cortex XDR features.
- Topic 6: Security Operations: This domain focuses on security operations including threat hunting, incident response, SIEM and SOAR platforms, Attack Surface Management, and Cortex solutions including XSOAR, Xpanse, and XSIAM.
Free Palo Alto Networks Cybersecurity-Practitioner Exam Actual Questions
Note: Premium Questions for Cybersecurity-Practitioner were last updated On Feb. 25, 2026 (see below)
How does DevSecOps improve the Continuous Integration/Continuous Deployment (CI/CD) pipeline?
DevSecOps takes the concept behind DevOps that developers and IT teams should work together closely, instead of separately, throughout software delivery and extends it to include security and integrate automated checks into the full CI/CD pipeline. The integration of the CI/CD pipeline takes care of the problem of security seeming like an outside force and instead allows developers to maintain their usual speed without compromising data security
What is the ptrpose of automation in SOAR?
Automation in SOAR (Security Orchestration, Automation, and Response) is the process of programming tasks, alerts, and responses to security incidents so that they can be executed without human intervention. Automation in SOAR helps security teams to handle the huge amount of information generated by various security tools, analyze it through machine learning processes, and take appropriate actions based on predefined rules and workflows. Automation in SOAR also reduces the manual effort and time required for security operations, improves the accuracy and efficiency of threat detection and response, and provides consistency in handling security issues across different environments and scenarios. Reference: What is SOAR (security orchestration, automation and response)? | IBM, What Is SOAR? Technology and Solutions | Microsoft Security, Security orchestration - Wikipedia.
What does ''forensics'' refer to in a Security Operations process?
Forensics in a Security Operations process refers to collecting raw data needed to complete the detailed analysis of an investigation. Forensic analysis is a crucial step in identifying, investigating, and documenting the cause, course, and consequences of a security incident or violation. Forensic analysis involves various techniques and tools to extract, preserve, analyze, and present evidence in a structured and acceptable format. Forensic analysis can be used for legal compliance, auditing, incident response, and threat intelligence purposes.Reference:
Cyber Forensics Explained: Reasons, Phases & Challenges of Cyber Forensics
SOC Processes, Operations, Challenges, and Best Practices
What is Digital Forensics | Phases of Digital Forensics | EC-Council
What differentiates knowledge-based systems from behavior-based systems?
Knowledge-based systems and behavior-based systems are two types of artificial intelligence systems that can be used for security purposes. Knowledge-based systems use a predefined database of rules, facts, and patterns that distinguish ''bad'' or malicious activities from normal ones. They compare the incoming data with the stored knowledge and flag any anomalies or matches. Behavior-based systems, on the other hand, learn from the observed data and establish a baseline of normal behavior. They then monitor the data for any deviations or changes from the baseline and alert on any suspicious or abnormal activities. Reference:
*Types of Knowledge-Based Systems - Springer
*Difference between Knowledge-based IDS and behavior-based IDS
*Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to ...
Which technology secures software-as-a-service (SaaS) applications and network data, and also enforces compliance policies for application access?
A Cloud Access Security Broker (CASB) secures SaaS applications and network data by providing visibility, data security, threat protection, and compliance enforcement. It acts as a control point between users and cloud service providers to enforce security policies.
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