Palo Alto Networks Network Security Analyst 온라인 연습
최종 업데이트 시간: 2025년10월03일
당신은 온라인 연습 문제를 통해 Paloalto Networks NetSec Analyst 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 NetSec Analyst 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 60개의 시험 문제와 답을 포함하십시오.
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Explanation:
Panorama allows administrators to centrally push SD-WAN templates and policies across multiple firewalls. This simplifies scaling in large environments. Malware updates and SSL decryption are separate functions, not related to SD-WAN templates.
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Path Quality Profiles define thresholds for latency, jitter, and loss. Traffic steering policies reference these profiles to determine the optimal path. Other profiles like Log Forwarding or Data Filtering are unrelated to WAN link selection.
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SD-WAN profiles track network conditions using latency, jitter, and packet loss metrics. CPU utilization and session table size are firewall resource metrics, not SD-WAN path selection criteria.
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SD-WAN profiles enable link selection and traffic steering across multiple WAN paths based on metrics like jitter, latency, and loss. They don’t handle encryption (VPN), URL filtering, or endpoint compliance.
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DoS profiles provide SYN cookie insertion and source IP blocking to stop attackers. File blocking and URL filtering are unrelated, as they apply to application and web traffic controls, not volumetric attack handling.
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DoS Protection Profiles mitigate floods by defining thresholds and response mechanisms for SYN, UDP, or ICMP floods. Antivirus or Data Filtering cannot prevent volumetric attacks, and SD-WAN policies are unrelated to DoS mitigation.
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The Max Concurrent Sessions setting enforces a threshold on simultaneous connections. This prevents resource exhaustion from DoS attacks. SYN Cookies mitigate SYN floods, Random Early Drop applies to QoS, and Aggressive Aging is related to session timeout.
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IoT security profiles allow classification of connected devices and enforce behavioral security to prevent attacks. They don’t provide encryption or patch management. Instead, they focus on visibility and anomaly detection in IoT ecosystems.
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Data Filtering uses predefined patterns (e.g., credit card, SSNs) and custom regex to detect sensitive data. File size thresholds are part of File Blocking, while certificate validation belongs to SSL/TLS decryption profiles.
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Data Filtering profiles detect and block sensitive information patterns like credit cards, SSNs, or custom regex patterns. Antivirus protects against malware, while Decryption is for SSL inspection. File Blocking enforces restrictions on file types but not data content.
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Log Forwarding Profiles can send logs to Panorama, syslog, email, or HTTP servers for integration with monitoring tools. SNMP and DNS servers are not valid logging destinations. This flexibility allows alignment with SIEMs or monitoring policies.
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Log Forwarding Profiles define which log types (traffic, threat, system, etc.) are forwarded to external destinations like SIEMs or syslog servers. This is critical for centralized monitoring. Decryption and Data Filtering profiles serve different purposes.
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Custom URL categories can be enforced through security policy actions like allow, block, or alert. Encryption is handled by decryption policies, not URL filtering. Drop is not a direct action in URL
filtering but rather a firewall packet action.
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Custom URL categories let administrators define site lists outside PAN-DB’s predefined categories. This ensures that specific business-defined URLs can be blocked or allowed. Data Patterns are used for DLP, not web traffic classification.
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EDLs support IP addresses, URLs, and domain-based indicators. They are highly useful for integrating with threat intelligence feeds. FQDN objects and custom data patterns are managed separately and cannot be directly used in an EDL.