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| Section | Weight | Objectives |
|---|---|---|
| Cortex XSIAM | 18% | - Data ingestion, normalization, and correlation - Automation, playbooks, and response actions - Content packs, rules, and analytics models - Compliance, reporting, and operational visibility - Alert triage, investigation, and threat detection |
| Security Operations Fundamentals | 25% | - AI and machine learning in security operations - Log management, data ingestion, and retention - Reporting, dashboards, and analytics - Compliance frameworks and data protection - SOC roles, responsibilities, and workflows |
| Threat Intelligence and Incident Response | 16% | - Threat hunting and false positive/negative analysis - Incident categorization, prioritization, and handling - NIST incident response lifecycle and processes - Threat intelligence sources: WildFire, Unit 42, open feeds - Indicator types: IP, domain, URL, file hash, behavioral |
| Cortex XDR | 23% | - Log stitching, causality analysis, and visibility - Incident investigation, response, and remediation - Deployment, sensors, and data collection - Integration with third-party tools and threat feeds - Detection rules, behavioral analytics, and alerts |
| Cortex XSOAR | 18% | - Threat intelligence management and enrichment - Playbooks, automation, and orchestration workflows - Platform architecture and core components - Integrations, content packs, and customization - Case management and incident lifecycle automation |
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NEW QUESTION # 228
A user's endpoint is infected with malware that attempts to contact its command-and-control (C2) server using a newly generated domain name (Domain Generation Algorithm - DGA). The user's traffic passes through a Palo Alto Networks NGFW with the Advanced DNS Security subscription enabled. The DNS query for the malicious domain is sent to an external DNS server via the firewall. How does Advanced DNS Security MOST likely contribute to detecting and preventing this C2 communication attempt? (Select all that apply)
Answer: A,B,D
Explanation:
Advanced DNS Security intercepts and analyzes DNS queries to block access to malicious domains before the connection to the malicious IP is even attempted. - Option A (Correct): When enabled, the firewall intercepts DNS queries passing through it and forwards them (or metadata about them) to the Advanced DNS Security cloud service for analysis. - Option B (Correct): The cloud service performs sophisticated analysis on the domain name and associated context (querying source, history, etc.), leveraging machine learning models (specifically trained to detect DGAs) and threat intelligence to determine if the domain is malicious. - Option C (Correct): If the cloud service identifies the domain as malicious, it sends a verdict back to the firewall. The firewall then takes the configured action (e.g., block the DNS response, sinkhole the response to a safe IP, block the subsequent connection to the resolved malicious IP) based on the policy applied to the DNS traffic. - Option D (Incorrect): While some external DNS servers offer security features, the protection here is provided by Palo Alto Networks' Advanced DNS Security, which acts as an intermediary or inspector for the DNS traffic. - Option E (Incorrect): While other security profiles can detect C2 activity within the application layer after a connection is made, Advanced DNS Security provides prevention at the DNS layer , stopping the connection attempt before it even begins, which is a more proactive approach.
NEW QUESTION # 229
An administrator is investigating a security incident involving an internal host that accessed a suspicious external IP address. They need to review logs from the Palo Alto Networks firewall that show allowed and denied connections, including source/destination IPs, zones, applications, and policy actions. Which log type should they focus on for this investigation?
Answer: B
Explanation:
Traffic logs are the primary source for detailed information about network sessions passing through the firewall, including allowed/denied status, source/destination information, application ID, and policy rule hit. Option A tracks operational events. Option B tracks configuration changes. Option D logs device posture checks. Option E logs IP-to-user mappings.
NEW QUESTION # 230
A company is deploying a new internal application that uses a standard web server (HTTPS on port 443) but needs specific security policy enforcement (different from general web browsing) and precise visibility into its usage. App-ID currently identifies this traffic as 'web-browsing'. How can an administrator configure the Palo Alto Networks NGFW (Strata/Prisma SASE) to identify this internal application separately and enable granular policy control?
Answer: D
Explanation:
When App-ID doesn't recognize a custom or specific application, the correct approach for granular identification and policy is to create a custom App-ID signature. Option B correctly describes this process: analyzing the application's traffic for unique patterns and building a custom signature that App-ID can use to identify it separately. Option A uses ports, which is not application-aware. Option C is not possible; built-in App-IDs cannot be directly modified. Option D is for URL categorization, not application identification. Option E is for inspecting content after identification, but doesn't help with the initial App-ID challenge.
NEW QUESTION # 231
An organization has deployed the Palo Alto Networks IoT Security subscription, integrated with their Strata NGFW The platform has successfully discovered and profiled various IoT devices on the network, categorizing them by type, vendor, and known vulnerabilities. The security team wants to leverage this intelligence to automate and enforce granular security policies, such as limiting specific IoT devices to communicate only with their known legitimate cloud update servers and preventing lateral movement to the corporate network. Which of the following accurately describe how the IoT Security subscription integrates with the NGFW and contributes to automated policy enforcement? (Select all that apply)
Answer: A,B,D
Explanation:
Palo Alto Networks IoT Security integrates with NGFWs/Prisma SASE to provide enhanced visibility, risk assessment, and policy automation for IoT devices. - Option A (Correct): Behavioral analytics is a core function of the IoT Security cloud service. It learns the normal behavior of profiled devices and flags deviations as anomalous events, which are surfaced as alerts. - Option B (Correct): A key integration point is the sharing of dynamic device group information. The cloud service categorizes devices and makes these groups (e.g., 'IP Cameras - Axis', 'Smart Thermostats', 'High-Risk IoT') available to the NGFW/Panorama. - Option C (Correct): Administrators leverage the dynamic device groups received from the IoT Security subscription to create Security Policy rules that automatically adapt as new devices are discovered or device classifications change. For example, a rule could allow 'IP Cameras - Axis' devices to communicate only with their cloud update server, using the dynamic device group as the source. - Option D (Incorrect): While the IoT Security cloud service performs analysis, threat enforcement still primarily relies on the NGFW's Content-ID engines (Threat Prevention, WildFire) applied via Security Policy rules, potentially triggered by intelligence from the IoT service. - Option E (Incorrect): The IoT Security subscription provides intelligence and policy recommendations. Enforcement actions (block, alert, allow) are configured by the administrator in the Security Policy rules on the NGFW/Prisma Access, leveraging the device groups and insights from the IoT service.
NEW QUESTION # 232
When a Palo Alto Networks NGFW (or Prisma SASE) with the Enterprise DLP subscription detects sensitive data within a traffic flow based on a configured Data Filtering profile rule with an 'alert' action, where is this event typically logged for security analysts to review?
Answer: A
Explanation:
Palo Alto Networks platforms generate specific log types for different security functions. Events related to Data Filtering profile matches are recorded in dedicated Data Filtering logs. - Option A: Traffic logs record session details and policy actions but not the specifics of why a Data Filtering event occurred within the session. - Option B: System logs track firewall operational events. - Option C: Threat logs record malware, exploits, etc., not DLP matches. - Option D: URL Filtering logs track web access. - Option E (Correct): Data Filtering logs are specifically generated when a Data Filtering profile rule is matched and triggered (e.g., an alert or block action). These logs contain details about the session, the detected pattern, the action taken, and potentially surrounding context depending on configuration.
NEW QUESTION # 233
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