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| Section | Objectives |
|---|---|
| Topic 1: Application Delivery and Optimization | - Logging, monitoring, and FortiAI integration - Caching and compression - Load balancing and server pools - DoS protection configuration |
| Topic 2: Compliance and Troubleshooting | - Web vulnerability scanning and remediation - Troubleshooting deployment and traffic flow issues - Log analysis and reporting |
| Topic 3: Web Application and API Security with Bot Mitigation | - Bot detection and mitigation strategies - OWASP Top 10 mitigation - Web application firewall policies and protection profiles - API discovery and API protection |
| Topic 4: Deployment and Configuration | - FortiWeb deployment modes and architecture - SSL inspection, SSL offloading, and high availability (HA) - Server objects, virtual servers, and policies - Initial setup and system administration |
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NEW QUESTION # 30
Refer to the exhibit.
What does the exhibit show?
Answer: B
Explanation:
The exhibit is written in structured OpenAPI/YAML-style format. It includes fields such as info, version, title, servers, paths, HTTP method get, operationId, responses, content type application/json, and a schema definition. That is not HTML and it is not a live API response. It is also not CLI output from FortiWeb.
FortiWeb OpenAPI validation uses OpenAPI description files in YAML or JSON to define API structure, endpoints, parameters, and expected data types. FortiWeb then uses that uploaded schema as a baseline to validate API requests and block requests that do not conform. So the exhibit is best identified as an API schema file
NEW QUESTION # 31
An administrator sees repeated requests probing for common vulnerable file paths such as "/wp- admin/" and "/.env" against a server that does not run WordPress or expose environment files.
Which FortiWeb feature is designed to detect this behavior pattern?
Answer: C
Explanation:
FortiWeb includes detection for known scanning and reconnaissance patterns, such as requests to common vulnerable paths, allowing it to identify and block attackers performing automated vulnerability scans regardless of whether the underlying application actually exists.
NEW QUESTION # 32
How should a FortiWeb administrator configure behavior-based bot detection to identify traffic from nonhuman users?
Answer: D
Explanation:
FortiWeb bot mitigation is designed to distinguish automated clients from real human users by evaluating request behavior and browser interaction signals. Request-rate limits help detect automation patterns such as excessive requests over a short period, while mouse movement tracking is a behavioral or biometric-style control that helps confirm whether a browser session is being operated by a human. Blocking all unknown devices is too aggressive and would create major false positives. Disabling JavaScript for anonymous users would actually weaken behavior collection because FortiWeb uses JavaScript-based techniques in some bot workflows. Login-failure IP blocklists help against credential attacks, but they do not broadly identify nonhuman users. Therefore, request limits plus mouse movement tracking is the best answer.
NEW QUESTION # 33
You are working on securing HTTPS communication across different services using FortiWeb. Your task is to configure and validate digital certificates for various traffic and communication needs.
Match each FortiWeb certificate feature to the certificate-related task that supports the feature.
Answer:
Explanation:
NEW QUESTION # 34
Which statement about FortiWeb's "Auto Learning" (or "Auto-learn") profile is correct?
Answer: A
Explanation:
Auto Learning operates in a monitoring capacity, observing legitimate traffic patterns to help administrators understand application behavior and reduce false positives when creating or refining custom policies.
NEW QUESTION # 35
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