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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Configuration | - SSL inspection, SSL offloading, and high availability (HA) - Initial setup and system administration - FortiWeb deployment modes and architecture - Server objects, virtual servers, and policies |
| Topic 2: Web Application and API Security with Bot Mitigation | - Bot detection and mitigation strategies - API discovery and API protection - Web application firewall policies and protection profiles - OWASP Top 10 mitigation |
| Topic 3: Application Delivery and Optimization | - Caching and compression - Load balancing and server pools - DoS protection configuration - Logging, monitoring, and FortiAI integration |
| Topic 4: Compliance and Troubleshooting | - Log analysis and reporting - Troubleshooting deployment and traffic flow issues - Web vulnerability scanning and remediation |
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NEW QUESTION # 23
Drag and Drop Question
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.
Select the step in the left column, hold and drag it to a blank position in the column on the right.
Place the three correct steps in order, placing the first step in the position which is labeled as step
1. Once you place a step, you can move it again if you want to change your answer before moving to the next question. You need to drop three steps in the work area.
Select and drag the screen divider to change the viewable area of the source and work areas.
Answer:
Explanation:
Explanation:
Stage 1 - Prevent attacks before they happen → Cross-Origin Resource Sharing (CORS) protection Stage 2 - Detect tampering at runtime → Subresource integrity check Stage 3 - Mitigate after the browser is compromised → HTTP header request CORS protection helps prevent unauthorized cross-origin browser access before an attack succeeds. Subresource integrity checks detect whether browser-loaded resources have been modified at runtime. HTTP header-based controls help FortiWeb apply mitigation after suspicious or compromised browser behavior is identified.
NEW QUESTION # 24
FortiWeb is blocking groups of users behind your load balancer. In the logs, all users show the same source IP address.
Which action should you take to restore proper client identification?
Answer: D
Explanation:
When FortiWeb is deployed behind a load balancer or upstream proxy, it may see only the load balancer IP address as the source for every request. This causes poor client identification and can lead FortiWeb to block many legitimate users as if they are one abusive client. The correct fix is to preserve the original client IP address in an HTTP header, commonly using X-Forwarded-For or a similar trusted client-IP header. FortiWeb can then be configured to read that header for accurate client identification, logging, rate limiting, and IP- based security decisions. Bot detection, signature updates, and HTTPS caching do not solve the core source- IP visibility problem.
NEW QUESTION # 25
A FortiWeb administrator wants to ensure that only requests originating from an approved list of corporate IP ranges can access an internal admin portal, while all other requests are blocked.
Which feature should be configured?
Answer: B
Explanation:
An IP list access control policy allows administrators to explicitly permit or deny traffic based on source IP address or range, which is the appropriate mechanism for restricting access to trusted corporate IP ranges.
NEW QUESTION # 26
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?
Answer: B
Explanation:
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.
NEW QUESTION # 27
Drag and Drop Question
Refer to the exhibit.
You are a FortiWeb administrator reviewing how FortiAI protects sensitive data when interacting with a large language model (LLM).
Drag each label to the corresponding step in the FortiAI data privacy workflow.
Select the step in the left column, hold and drag it to a blank position in the column on the right.
Place the six correct steps in order, placing the first step in the position which is labeled as step 1.
Once you place a step, you can move it again if you want to change your answer before moving to the next question. You need to drop six steps in the work area.
Select and drag the screen divider to change the viewable area of the source and work areas.
Answer:
Explanation:
Explanation:
1 → The administrator submits a natural-language query.
2 → FortiWeb masks sensitive data.
3 → FortiAI Proxy sends a masked query to the LLM.
4 → The LLM returns a function response.
5 → FortiWeb unmasks and runs the query locally.
6 → The result is shown to the administrator with original values.
FortiAI protects sensitive data by masking values before anything is sent to the LLM. The LLM works only with the masked prompt and returns a function-style response. FortiWeb then restores the original values locally, runs the query, and displays the final result to the administrator without exposing real sensitive data externally.
NEW QUESTION # 28
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