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| Section | Objectives |
|---|---|
| Deployment and Configuration | - SSL inspection, offloading, and high availability (HA) - FortiWeb deployment and basic administration - Server objects and policy configuration |
| Compliance and Troubleshooting | - Web vulnerability scanning implementation - Troubleshoot deployment issues - System and configuration troubleshooting |
| Application Delivery and Additional Configuration | - Application delivery optimization - Logging and reporting configuration - FortiAI integration - Denial of service (DoS) mitigation |
| Web Application and API Security | - Web application security configuration - API discovery and protection - Botnet mitigation and protection features |
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NEW QUESTION # 16
You need to monitor and respond to repeated suspicious activity from individual users who are accessing your web application.
Your goal is to evaluate each action the user takes and apply a response when their behavior becomes risky.
What can you configure on FortiWeb to track user behavior and respond automatically when risky activity continues?
Answer: D
Explanation:
The requirement is to track user behavior over time and respond when cumulative activity becomes risky.
FortiWeb client management and threat scoring are built for that purpose. When enabled in the protection profile, FortiWeb can associate activity with a client, assign threat weights to suspicious behavior, and apply actions such as alerting, denying, or period blocking after a defined score threshold is exceeded. Rate limiting is useful for traffic volume, but it does not evaluate a user's full behavior pattern. A custom signature blocks a specific pattern immediately, not cumulative behavior. Cookie security protects session cookies but does not calculate behavioral risk. The correct configuration is scoring in the protection profile to track and respond to repeated risky actions.
NEW QUESTION # 17
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 # 18
Refer to the exhibit.
You are configuring SSL offloading on FortiWeb to protect a public-facing application. Clients connect using HTTPS, while FortiWeb forwards requests to the back-end server using HTTP.
You are reviewing certificate deployment and need to decide where to install the private key for the certificate used in client connections.
In this SSL offloading setup, which device is responsible for using the private key associated with the web server certificate?
Answer: B
Explanation:
In SSL offloading, FortiWeb is the TLS endpoint for client connections. The client negotiates HTTPS with FortiWeb, not directly with the back-end web server. Therefore, FortiWeb must have the website certificate and associated private key so it can complete the TLS handshake, decrypt inbound HTTPS traffic, inspect the HTTP content, and then forward the request to the server using HTTP or a separate back-end connection.
Option B is wrong because TLS termination requires the private key. Option C describes SSL inspection or direct server termination, not offloading. Option D is wrong because clients verify the certificate but do not possess or use the server's private key. FortiWeb owns the private-key function in this design.
NEW QUESTION # 19
How should a FortiWeb administrator configure behavior-based bot detection to identify traffic from nonhuman users?
Answer: B
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 # 20
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: A
Explanation:
When traffic passes through a load balancer, FortiWeb may see only the load balancer IP as the source. Inserting the original client IP address in an HTTP header, such as X-Forwarded-For, allows FortiWeb to identify individual clients correctly and avoid applying IP-based blocking to an entire group of users.
NEW QUESTION # 21
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