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Fortinet NSE5_FWB_AD-8.0 Exam Syllabus Topics:

Section	Objectives
Application Delivery and Additional Configuration	- Application delivery optimization - Denial of service (DoS) mitigation - Logging and reporting configuration - FortiAI integration
Deployment and Configuration	- FortiWeb deployment and basic administration - Server objects and policy configuration - SSL inspection, offloading, and high availability (HA)
Compliance and Troubleshooting	- Troubleshoot deployment issues - Web vulnerability scanning implementation - System and configuration troubleshooting
Web Application and API Security	- API discovery and protection - Botnet mitigation and protection features - Web application security configuration

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最新的 NSE 5 Network Security Analyst NSE5_FWB_AD-8.0 免費考試真題 (Q38-Q43):

問題 #38
A FortiWeb administrator wants to stop coordinated scraping traffic coming from several IP addresses, each making only a few requests so thresholds never trigger.
Which tactic should the administrator deploy to identify botnets using shared behavioral signals instead of volume?

A. Bot mitigation with device fingerprinting to correlate clients by behavior, headers, and JavaScript challenges instead of IP address volume.
B. A static blocklist for all IP addresses seen in logs, even if most appear only once.
C. A DoS protection profile with extremely low request limits for the entire site.
D. A web application firewall (WAF) rule that blocks every user agent that is not on a manually created allowlist.

答案：A

解題說明：
The scenario describes distributed scraping where each individual IP stays below request-rate thresholds. A simple DoS threshold is weak here because the attacker avoids volume-based detection per source. Static blocklists are also ineffective because many botnet IPs may appear only once or rotate frequently. Blocking every non-allowlisted user agent would cause severe false positives and is easy for bots to evade by spoofing headers. FortiWeb bot mitigation is the correct control because it can evaluate behavior beyond source IP volume. Device fingerprinting, browser behavior, headers, JavaScript challenges, and client characteristics help correlate suspicious automation even when requests are spread across many addresses. Therefore, bot mitigation with behavioral/device fingerprinting is the strongest answer.

問題 #39
An administrator notices that legitimate search engine crawlers are being blocked by FortiWeb's bot mitigation feature. What is the recommended way to allow known, verified crawlers while still blocking malicious bots?

A. Switch to offline protection mode.
B. Configure a known bots list/allow list that verifies crawler identity, such as through reverse DNS lookup.
C. Disable bot mitigation entirely.
D. Increase the HTTP protocol constraint header size limit.

答案：B

解題說明：
FortiWeb maintains a known bots signature database that can validate legitimate crawlers using techniques such as reverse DNS verification, allowing administrators to permit trusted bots while continuing to block malicious or unverified automated traffic.

問題 #40
You are configuring the FortiWeb client-side protection feature to defend against browser-based attacks.
Based on the layered defense strategy, drag and drop each control to the corresponding stage of defense.

答案：

解題說明：

Explanation:

The layered browser-protection model separates prevention, runtime detection, and post-compromise mitigation. CORS protection belongs in the first stage because it restricts which origins can interact with protected resources, helping prevent unauthorized cross-origin access before exploitation occurs. Subresource integrity belongs in the second stage because it detects whether externally loaded scripts or resources have been modified at runtime by comparing them against expected integrity values. HTTP header-based protection belongs in the mitigation stage because security headers can limit the impact of browser-side compromise by controlling browser behavior, enforcing restrictions, and reducing exploit capability. The correct sequence is therefore CORS first, subresource integrity second, and HTTP header request last.

問題 #41
Your security team is reviewing tools for artificial intelligence (AI) integration and wants to ensure no real user or IP data is exposed to third-party services. How does FortiAI meet this requirement better than traditional external AI tools?

A. The large language model (LLM) receives IP addresses from only the internal DNS.
B. Only masked prompts go to the LLM; unmasking happens locally.
C. FortiAI blocks all network access during queries.
D. It encrypts data using a cloud-based key.

答案：B

解題說明：
FortiAI protects sensitive information by masking data before sending prompts to the language model. The original values are restored locally, so real user details, IP addresses, and other sensitive data are not exposed to the external LLM service.

問題 #42
Refer to the exhibit.

A FortiWeb administrator tests a new form input value after training the machine learning (ML) anomaly detection system.
The hidden Markov model (HMM) flags the input as abnormal, while the support vector machine (SVM) model classifies it as normal. FortiWeb allows the request.
What does this result indicate about the FortiWeb ML anomaly detection behavior?

A. One of the ML models should be disabled to avoid inconsistent results.
B. FortiWeb is correctly allowing an unusual but non-malicious input based on combined HMM and SVM evaluation.
C. FortiWeb failed to detect an attack and should have blocked the request.
D. The anomaly detection thresholds are too low and must be increased.

答案：B

解題說明：
FortiWeb ML anomaly detection uses multiple models to evaluate whether input is truly malicious or simply unusual. In this case, the input appears abnormal to the HMM pattern model, but the SVM classification considers it acceptable, so FortiWeb treats it as normal and allows the request.

問題 #43
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