PCCP Palo Alto Certified Cybersecurity Practitioner (PCCP) Questions and Answers

Detection of threats using data analysis – SIEM platforms analyze collected data to identify suspicious patterns and detect threats.

Ingestion of log data – SIEM systems collect and centralize log data from various sources, which is essential for analysis, correlation, and alerting.

Automation and prevention are more aligned with SOAR and firewall/EDR functionalities, not the core operations of SIEM.

SOAR platforms are unique in their ability to automate incident response through the use of predefined workflows. These workflows allow repetitive security tasks to be executed automatically, improving response speed and efficiency.

SOAR (Security Orchestration, Automation, and Response) differs from SIEM by adding automated incident response and workflow orchestration to the detection and alerting capabilities found in SIEM. This enables faster and more efficient handling of security incidents.

Cloud Security Posture Management (CSPM), including Prisma Cloud’s offering, continuously monitors all cloud resources — such as compute instances, storage, network configurations, and identities — to detect misconfigurations, vulnerabilities, and potential threats in near real time.

Prisma SD-WAN is a key component of a SASE (Secure Access Service Edge) solution. It provides intelligent routing, traffic optimization, and secure connectivity between users and applications, supporting the networking part of SASE alongside security services like those in Prisma Access.

Authentication is the component of the AAA (Authentication, Authorization, and Accounting) framework that verifies user identities (e.g., via passwords, certificates, or biometrics) before granting access to network resources.

A serverless function is an event-driven snippet of code that runs on managed infrastructure, typically as part of a Function as a Service (FaaS) model. It is executed in response to events such as HTTP requests or database changes, and the cloud provider handles the underlying infrastructure.

IoT devices often have constant internet connectivity and increased data sharing, making them more vulnerable to command-and-control (C2) attacks. Their limited security features and exposure to external networks provide attackers more opportunities to compromise and control them remotely.

Xpanse is a tool from Palo Alto Networks that provides attack surface management by analyzing exposed services and internet-facing assets, giving security operations teams visibility into environmental risks and helping prioritize remediation of vulnerabilities.

Log normalization – SIEMs standardize log formats from various sources, making it easier to analyze and correlate security events.

Incident response – Integration enables faster detection, investigation, and automated or guided response to security incidents by using correlated data from multiple tools.

Hardware procurement and security team training are not directly influenced by SIEM integration.

A Host-Based Intrusion Prevention System (HIPS) is installed directly on an endpoint device (such as a server or workstation) and monitors local system activity, including processes, file access, and system calls, to detect and prevent malicious behavior.

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.

Multiple attack vectors – APTs often use various methods (phishing, malware, lateral movement) to infiltrate and maintain access to a target.

Repeated pursuit of objective – APTs are known for their persistent nature, involving continuous efforts over time to achieve their goals, such as data theft or surveillance.

A User Entity Behavior Analysis (UEBA) tool performs active monitoring by continuously analyzing the behavior of users and entities to detect anomalies that may indicate insider threats, compromised accounts, or malicious activity. It uses machine learning and analytics to identify unusual patterns in real time.

Determining system health using unaltered system data – Active monitoring collects real-time data to assess the current health and performance of systems.

Using probes to establish potential load issues – Active monitoring uses synthetic transactions or probes to simulate user interactions and identify performance or load-related issues before they affect users.

Pharming is an attack that redirects traffic from a legitimate website to a malicious fake website, typically by corrupting the DNS system or modifying host files, with the intent of stealing user credentials or sensitive data.

URL categories classify websites based on content type or risk, enabling dynamic policy enforcement such as blocking or allowing access. Administrators can create custom URL categories to group sites like gambling domains and apply blocking rules across the firewall infrastructure. Palo Alto Networks firewalls leverage URL categorization combined with threat intelligence to provide granular web filtering, reducing exposure to malicious or unwanted sites. This dynamic grouping approach is more manageable and scalable than creating individual signatures or static lists and allows for automated policy application aligned with organizational compliance requirements.

SSL/TLS decryption allows security tools to inspect encrypted traffic, enabling them to detect hidden malware, command-and-control communication, or data exfiltration that would otherwise bypass inspection if left encrypted.