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Fortinet NSE5_FWB_AD-8.0 Exam Syllabus Topics:

SectionWeightObjectives
Web Application and API Security with Bot Mitigation35%- Web application security measures
  • 1. Attack signature and threat protection
  • 2. Security profiles and protection rules
- Bot mitigation
  • 1. Bot detection and classification
  • 2. CAPTCHA, reputation, and behavioral analysis
- API security
  • 1. API discovery and endpoint mapping
  • 2. API protection and access control
Compliance and Troubleshooting15%- Compliance and audit
  • 1. Regulatory compliance standards
  • 2. Vulnerability scanning and reporting
- System and traffic troubleshooting
  • 1. Log analysis and error diagnosis
  • 2. Configuration and connectivity issues
Application Delivery and Additional Configuration20%- Performance and delivery optimization
  • 1. Content routing, URL rewriting, and caching
  • 2. Compression and acceleration
- Protection and integration
  • 1. Logging, monitoring, and FortiAI integration
  • 2. DoS and DDoS protection
Deployment and Configuration30%- Deployment modes and basic administration
  • 1. Initial setup and system management
  • 2. Reverse Proxy, Transparent Bridge, Offline Protection
- SSL configuration and High Availability
  • 1. Active-Passive and Active-Active HA deployment
  • 2. SSL inspection, offloading, and certificate management
- Server objects and security policies
  • 1. Server pool, virtual server configuration
  • 2. Policy creation and rule management

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Fortinet NSE 5 - FortiWeb 8.0 Administrator Sample Questions (Q24-Q29):

NEW QUESTION # 24
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?

Answer: C

Explanation:
FortiWeb machine learning uses layered detection rather than treating every unusual value as malicious. The HMM layer models normal parameter behavior and can flag a value as abnormal when it falls outside the learned distribution. However, abnormal does not automatically mean hostile. FortiWeb then uses additional ML classification logic, including SVM-based evaluation, to determine whether the anomaly resembles an actual attack or simply a legitimate unusual input. In this case, HMM noticed that the value was uncommon, but SVM classified it as normal, so FortiWeb allowed the request. That is expected behavior. Raising thresholds, disabling models, or assuming FortiWeb failed would misunderstand the two-stage ML decision process.


NEW QUESTION # 25
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 # 26
Refer to the exhibit.

What is does the exhibit show?

Answer: B

Explanation:
The exhibit shows an OpenAPI-style API schema definition. It describes API metadata, server URL, available path, HTTP method, operation details, response code, content type, and expected response schema.


NEW QUESTION # 27
Which of the following best explains the benefit of enabling "Cookie Security" (cookie encryption/signing) on FortiWeb?

Answer: B

Explanation:
Cookie security features encrypt or sign cookies issued by the back-end server, protecting them from tampering, poisoning, or replay attacks by ensuring FortiWeb can detect any unauthorized modification.


NEW QUESTION # 28
Which two actions can FortiWeb take when an attack signature is matched, depending on the configured action? (Choose two.)

Answer: A,B

Explanation:
When a signature match occurs, FortiWeb can be configured to simply log/alert on the event or actively deny the request. It has no capability to patch server code or alter DNS records directly.


NEW QUESTION # 29
......

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