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Fortinet FCP_FWB_AD-7.4 Dumps-Effective Tips To Pass

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Fortinet FCP_FWB_AD-7.4 Exam Syllabus Topics:

Topic
Details

Topic 1

Deployment and Configuration: This section of the exam measures the skills of Network Security Engineers and covers the ability to identify FortiWeb deployment requirements and configure essential system settings. Candidates are expected to set up server pools, security policies, and protected hostnames to ensure seamless deployment. To maintain operational efficiency, they must also configure FortiWeb high availability (HA) for fault tolerance and troubleshoot deployment or system-related issues.

Topic 2

Web Application Security: This domain evaluates the ability of Cybersecurity Specialists to implement advanced threat mitigation strategies using FortiWeb. Candidates must configure the system to block known attacks, ensure comprehensive web application protection, and troubleshoot threat detection or mitigation-related issues. Additionally, they are expected to set up API protection mechanisms to secure web-based interactions from potential threats.

Topic 3

Encryption, Authentication, and Compliance: This section of the exam assesses the expertise of Security Analysts in mitigating web application vulnerabilities through encryption and authentication mechanisms. Candidates must configure various access control methods, track user authentication, and prevent attacks targeting authentication systems. They must also implement SSL inspection and offloading techniques to enhance security and troubleshoot encryption or authentication-related issues effectively.

Topic 4

Machine Learning (ML): This section tests the skills of Application Security Engineers in leveraging machine learning to enhance web application security. Candidates will configure machine learning algorithms to detect anomalies, mitigate bot-based threats, and secure APIs through AI-driven analysis. Understanding how to fine-tune these ML-based security measures is crucial for ensuring robust application protection against evolving cyber threats.

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Fortinet FCP - FortiWeb 7.4 Administrator Sample Questions (Q124-Q129):

NEW QUESTION # 124
Which of the following is true about Local User Accounts?

A. Must be assigned regardless of any other authentication
B. Can be used for Single Sign On
C. Can be used for site publishing
D. Best suited for large environments with many users

Answer: C

NEW QUESTION # 125
Refer to the exhibits.

What will happen when a client attempts a mousedown cross-site scripting (XSS) attack against the site http://my.blog.org/userl1/blog.php and FortiWeb is enforcing the highlighted signature?

A. The connection will be allowed.
B. FortiWeb will report the new mousedown attack to FortiGuard.
C. The connection will be blocked as an XSS attack.
D. The connection will be stripped of the mousedown JavaScript code.

Answer: A

Explanation:
In the provided configuration, the signature exception has been set for the URL http://my.blog.org/user1V. This means that any request to this specific URL will bypass the signature ID 01000001, which is designed to block cross-site scripting (XSS) attacks using the mousedown event. As the request comes from the URL http://my.blog.org/userl1/blog.php, which does not match the exception rule for http://my.blog.org/user1V, the attack will be allowed through.
Therefore, the connection will be allowed because the exception rule bypasses protection for the specified URL.

NEW QUESTION # 126
Which of the following is a common attack vector that API protection aims to mitigate?

A. Unauthorized access to APIs
B. Cross-site scripting (XSS) attacks
C. Distributed Denial of Service (DDoS) attacks
D. SQL injection attacks

Answer: A

NEW QUESTION # 127
Which compliance standards often require encryption and secure authentication for web applications?
(Select all that apply)

A. HIPAA (Health Insurance Portability and Accountability Act)
B. GDPR (General Data Protection Regulation)
C. PCI DSS (Payment Card Industry Data Security Standard)
D. ISO 9001 (Quality Management System)

Answer: A,B,C

NEW QUESTION # 128
How are bot machine learning (ML) models different from API or anomaly detection models?

A. Bot ML models do not update models periodically from new data.
B. Bot ML models analyze multiple connections overtime instead analyzing each connection as a single unit.
C. Bot ML models detect only anomalies and not actual threats.
D. Bot ML models inspect more types of connection properties.

Answer: B

Explanation:
Bot ML models analyze multiple connections over time instead of analyzing each connection as a single unit: This is the key distinction. Bot ML models focus on analyzing patterns over a period of time, looking at behavioral patterns across multiple requests or connections from the same source to identify potential bot activity. Unlike traditional anomaly detection or API models that may focus on single connections or individual transactions, bot detection typically examines aggregated behavior to identify patterns indicative of bots, such as high-frequency requests or unusual traffic flows.

NEW QUESTION # 129
......

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