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Fortinet NSE5_FAS_AD-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Bot protection and traffic management	30-40%	- Configure global server load balancing 1. Health checks and synthetic testing 2. GSLB with the Fortinet Security Fabric 3. Physical and logical components of GSLB 4. EDNS, ECS, and anycast - Configure bot protection 1. Differentiate between good, bad, and sophisticated bots 2. Behavior-based detection and biometric attributes 3. AI-based threat detection - Implement advanced bot controls 1. Advanced Bot Protection with the Fortinet Security Fabric 2. Detect and mitigate sophisticated bots 3. Multivariate data over time 4. Auto-discovery to onboard WAF applications 5. Deep learning bot detection, data correlation, and interpretability
Topic 2: Monitoring and analytics	10-20%	- Configure logging and integration with the Security Fabric 1. Threat analytics with FortiADC and FortiWeb 2. Collect attack logs with FortiAnalyzer or FortiSIEM - Analyze threat analytics 1. Accelerate security alerts and investigation 2. FortiAI Assistant capabilities and limitations 3. Four-step threat analytics process - Perform incident analysis 1. Analyze threats using FortiAI 2. Correlate security events with incidents 3. Gain threat insights using widgets
Topic 3: Platform architecture and deployment	10-20%	- Describe platform architecture and licensing 1. FortiAppSec Cloud deployment and traffic flow 2. SaaS shared responsibility model 3. Licensing options Sales FortiFlex Public marketplace 4. Comprehensive application protection (WAAP) - Onboard and configure applications 1. DNS configuration A record CNAME record 2. Web application integration - Configure initial deployment settings 1. Restrict direct-to-IP traffic
Topic 4: Web application and API protection	30-40%	- Optimize protection policies 1. Content Security Policy 2. Inject a JavaScript collector into HTTP responses 3. Client-side protection against browser-based threats - Configure web application firewall protection 1. File protection 2. Known attacks and anomaly detection 3. DDoS protection and WAF security rules - Implement API security 1. Machine learning-based API protection 2. Parse API call content against schema files 3. Secure API interfaces using OpenAPI, JSON API, and XML