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| Section | Objectives |
|---|---|
| Compliance and Troubleshooting | - Troubleshooting deployment and traffic flow issues - Log analysis and reporting - Web vulnerability scanning and remediation |
| Deployment and Configuration | - Server objects, virtual servers, and policies - FortiWeb deployment modes and architecture - Initial setup and system administration - SSL inspection, SSL offloading, and high availability (HA) |
| Application Delivery and Optimization | - Load balancing and server pools - Logging, monitoring, and FortiAI integration - Caching and compression - DoS protection configuration |
| Web Application and API Security with Bot Mitigation | - API discovery and API protection - Bot detection and mitigation strategies - Web application firewall policies and protection profiles - OWASP Top 10 mitigation |
>> Certification NSE5_FWB_AD-8.0 Test Answers <<
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NEW QUESTION # 37
You recently deployed two FortiWeb devices in an active-active (A-A) high availability (HA) cluster.
During routine maintenance, you want to confirm that the cluster is synchronizing the correct configuration areas and that both FortiWeb devices behave consistently in production.
As the FortiWeb administrator, which two configuration areas should you examine to verify that HA synchronization is functioning correctly? (Choose two.)
Answer: A,B
Explanation:
In an active-active FortiWeb HA cluster, both appliances must have aligned network-related settings so traffic is handled consistently across members. Policy configurations such as server policies and protection profiles should also match, because these determine how FortiWeb forwards, inspects, and mitigates application traffic in production.
NEW QUESTION # 38
A FortiWeb administrator wants to create a machine learning (ML)-based bot detection system.
Which three actions must the administrator take to build and activate this ML model? (Choose three.)
Answer: A,B,E
Explanation:
FortiWeb machine learning protection depends on observed application traffic. The administrator must first collect traffic samples so FortiWeb can learn normal behavior and create a useful baseline. After sample collection, FortiWeb uses the collected data to build the detection model. Once the model is built, it must be enabled or run in the live environment so FortiWeb can evaluate production requests and detect abnormal or bot-like behavior. Manual verification on test data only is not enough to activate the model for real traffic.
Bayesian analysis is not the FortiWeb configuration step shown for this process; the platform handles model logic internally. The practical workflow is collection, model building, and live enforcement or detection.
NEW QUESTION # 39
Your team is spending too much time digging through FortiWeb logs to investigate threats.
How can FortiAI improve this workflow?
Answer: D
Explanation:
FortiAI improves investigation workflow by helping administrators interpret FortiWeb activity using natural language. Instead of manually reviewing many raw log entries, administrators can ask FortiAI questions about recent events, blocked requests, attack patterns, or policy behavior and receive a readable explanation. This helps reduce investigation time and makes troubleshooting faster, especially when reviewing attack logs, event logs, and traffic context. FortiAI does not disable logging; that would reduce visibility. It also does not replace FortiGuard updates, which remain important for signatures, reputation, and threat intelligence.
Blocking malicious IP addresses automatically is a security action handled through FortiWeb policies and protections, not the primary FortiAI workflow benefit. The best answer is natural-language event explanation.
NEW QUESTION # 40
Drag and Drop Question
Refer to the exhibit.
You are reviewing the FortiWeb integration with the Advanced Bot Protection (ABP) service.
Match each step in the ABP flow with its description.
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 → FortiWeb injects JavaScript into the client's browser to collect behavior data.
2 → The client's browser executes the JavaScript and sends the collected behavior data to the ABP service.
3 → FortiWeb sends the data to the ABP service to check if it's a bot.
4 → FortiWeb blocks the request if the ABP service identifies it as malicious.
5 → FortiWeb allows the request to proceed to the back-end server, if the request is from a real user.
In the ABP workflow, FortiWeb first injects JavaScript so the browser can collect behavioral signals. Those signals are evaluated through the ABP service, and FortiWeb then uses the result to either block malicious bot traffic or allow legitimate user traffic to continue to the protected server.
NEW QUESTION # 41
Refer to the exhibit.
Users complain that parts of the finances.fortinet.demo page fail to load. You see repeated 500 errors for view.js, view.css and favicon.ico.
What is the most likely cause?
Answer: A
Explanation:
The page loads the main document successfully, but multiple required subresources fail immediately afterward. This pattern is consistent with FortiWeb rate limiting being set too aggressively, causing normal browser requests for page components such as JavaScript, CSS, and favicon files to be rejected before the full page can render properly.
NEW QUESTION # 42
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