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Fortinet NSE5_FWB_AD-8.0 Exam Syllabus Topics:

Section	Weight	Objectives
Deployment and Configuration	30%	- Server objects and security policies 1. Policy creation and rule management 2. Server pool, virtual server configuration - Deployment modes and basic administration 1. Reverse Proxy, Transparent Bridge, Offline Protection 2. Initial setup and system management - SSL configuration and High Availability 1. SSL inspection, offloading, and certificate management 2. Active-Passive and Active-Active HA deployment
Compliance and Troubleshooting	15%	- Compliance and audit 1. Regulatory compliance standards 2. Vulnerability scanning and reporting - System and traffic troubleshooting 1. Configuration and connectivity issues 2. Log analysis and error diagnosis
Application Delivery and Additional Configuration	20%	- Performance and delivery optimization 1. Compression and acceleration 2. Content routing, URL rewriting, and caching - Protection and integration 1. Logging, monitoring, and FortiAI integration 2. DoS and DDoS protection
Web Application and API Security with Bot Mitigation	35%	- Web application security measures 1. Security profiles and protection rules 2. Attack signature and threat protection - Bot mitigation 1. CAPTCHA, reputation, and behavioral analysis 2. Bot detection and classification - API security 1. API protection and access control 2. API discovery and endpoint mapping

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Fortinet NSE 5 - FortiWeb 8.0 Administrator Sample Questions (Q58-Q63):

NEW QUESTION # 58
A customer wants FortiWeb to prevent sensitive data such as credit card numbers from leaving the network in HTTP responses. Which feature addresses this requirement?

A. IP list policy
B. Data leak prevention (DLP) / information disclosure protection
C. Cookie encryption
D. XML validation

Answer: B

Explanation:
FortiWeb's data leak prevention feature inspects outbound HTTP responses for defined sensitive data patterns, such as credit card or Social Security numbers, and can mask or block them before they reach the client.

NEW QUESTION # 59
You have configured parameter validation, file security, and machine learning (ML) anomaly detection for a web form, but some server-side request forgery tests are still succeeding. You need to advise the team on what to prioritize next to improve SSRF protection without compromising other parts of the application. Which recommendation would best strengthen FortiWeb's ability to block remaining SSRF attempts?

A. Apply HTTPS inspection at the transport layer, which FortiWeb does not use to block SSRF.
B. Disable ML anomaly detection and rely solely on parameter inspection.
C. Review and refine input validation logic, as SSRF may be exploiting backend behavior or bypassing weak filters.
D. Offload all server-side request forgery (SSRF) protection to FortiGate and remove FortiWeb from the API flow.

Answer: C

Explanation:
SSRF often succeeds when application input is passed to back-end services that make outbound requests. Refining input validation logic helps FortiWeb better detect and block unsafe URLs, internal addresses, metadata endpoints, redirects, or encoded payloads while preserving the existing protections for the rest of the application.

NEW QUESTION # 60
Which situation best explains when a FortiWeb administrator should enable automatic HTTP-to- HTTPS redirection?

A. Users are accessing a static website that does not handle sensitive data.
B. The web application handles logins or personal data and must ensure encrypted communication.
C. The back-end server uses only HTTP and cannot support encryption.
D. The organization prefers to keep both HTTP and HTTPS available for flexibility.

Answer: B

Explanation:
Automatic HTTP-to-HTTPS redirection is appropriate when the application handles logins, personal data, or other sensitive information. It forces users onto encrypted HTTPS connections, helping protect credentials and data in transit before they interact with the application.

NEW QUESTION # 61
When configuring a FortiWeb HA (high availability) active-passive cluster, which requirement must be met for proper failover?

A. Each unit must have a different firmware version.
B. All units must have unique host names but share the same virtual MAC/IP configuration.
C. Both members must use different HA priority values with no overlap.
D. Both units must operate in different operation modes.

Answer: B

Explanation:
FortiWeb HA units require unique host names for identification, while the HA pair shares a virtual IP/MAC so that failover is transparent to clients. Firmware versions and operation modes must match between HA members, not differ.

NEW QUESTION # 62
Which statement correctly differentiates FortiWeb's "signature-based detection" from "machine learning-based detection"?

A. Machine learning only works in offline protection mode, while signatures only work in reverse proxy mode.
B. Signature-based detection requires no updates, while machine learning must be updated daily via FortiGuard.
C. Signature-based detection is exclusively used for SSL, while machine learning is exclusively used for HTTP.
D. Signature-based detection matches traffic against known attack patterns, while machine learning detects anomalies by comparing traffic to a learned baseline of normal behavior.

Answer: D

Explanation:
Signature-based detection relies on a database of known attack patterns (updated via FortiGuard) to identify malicious requests, while machine learning-based detection builds a statistical model of normal application behavior and flags deviations, allowing it to catch novel or previously unseen attacks that lack a matching signature.

NEW QUESTION # 63
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