STUDY FCP_FWB_AD-7.4 MATERIALS, REAL FCP_FWB_AD-7.4 DUMPS

Study FCP_FWB_AD-7.4 Materials, Real FCP_FWB_AD-7.4 Dumps

Study FCP_FWB_AD-7.4 Materials, Real FCP_FWB_AD-7.4 Dumps

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Fortinet FCP_FWB_AD-7.4 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
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
  • 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.

Fortinet FCP - FortiWeb 7.4 Administrator Sample Questions (Q38-Q43):

NEW QUESTION # 38
A customer wants to be able to index your websites for search and advertisement purposes.
What is the easiest way to allow this on a FortiWeb?

  • A. Add the indexer IP address to the trusted IP list on the FortiWeb.
  • B. Do not allow any external sites to index your websites.
  • C. Add the indexer IP address to the FortiGuard "Known Search Engines" category.
  • D. Create a firewall rule to bypass the FortiWeb entirely for the indexer IP address.

Answer: A

Explanation:
The easiest way to allow a search engine indexer (such as Googlebot or Bingbot) to index your website on a FortiWeb is to add the indexer's IP address to the trusted IP list. This ensures that traffic from trusted indexers is allowed through without being blocked or interfered with by FortiWeb's security features like bot protection.


NEW QUESTION # 39
What is the purpose of configuring server pools in FortiWeb?

  • A. Load balancing traffic
  • B. Managing user authentication
  • C. Blocking malicious IPs
  • D. Monitoring system health

Answer: A


NEW QUESTION # 40
Which would be a reason to implement HTTP rewriting?

  • A. The original page has moved to a new URL.
  • B. To implement load balancing.
  • C. To redirect HTTP to HTTPS.
  • D. To replace a vulnerable element in a requested URL.

Answer: C

Explanation:
HTTP rewriting is a feature in FortiWeb that allows administrators to modify HTTP requests and responses for various purposes, including security enhancements, user experience improvements, and application functionality. One common use case for HTTP rewriting is to redirect HTTP traffic to HTTPS, ensuring that all communications between clients and the server are encrypted and secure.
Explanation of Options:
A . To redirect HTTP to HTTPS: This is a valid reason to implement HTTP rewriting. By rewriting incoming HTTP requests to HTTPS, administrators can enforce secure connections, protecting data integrity and confidentiality. FortiWeb supports this functionality, allowing seamless redirection from HTTP to HTTPS.
B . To implement load balancing: Load balancing is not typically achieved through HTTP rewriting. Instead, it involves distributing network traffic across multiple servers to ensure availability and reliability. FortiWeb provides load balancing features, but these are separate from HTTP rewriting capabilities.
C . To replace a vulnerable element in a requested URL: While HTTP rewriting can modify URLs, its primary purpose is not to replace vulnerable elements within URLs. Addressing vulnerabilities typically involves input validation, sanitization, and other security measures rather than rewriting URLs.
D . The original page has moved to a new URL: This is another valid reason to implement HTTP rewriting. When a webpage's URL changes, rewriting rules can redirect requests from the old URL to the new one, ensuring users can still access the content without encountering errors.
In summary, both options A and D are correct reasons to implement HTTP rewriting. However, in the context of FortiWeb's functionalities, redirecting HTTP to HTTPS (option A) is a common and significant use case, as it enhances security by ensuring encrypted connections.


NEW QUESTION # 41
When configuring access control methods for web application users, which options should be considered for tracking and auditing user actions? (Select all that apply)

  • A. Authentication logs
  • B. Web server logs
  • C. Session logs
  • D. Error logs

Answer: A,B,C


NEW QUESTION # 42
Which three stages are part of creating a machine learning (ML) bot detection algorithm? (Choose three.)

  • A. Model Bayesian analysis
  • B. Model verification
  • C. Model running
  • D. Model building
  • E. Sample collecting

Answer: B,D,E

Explanation:
Model building: In this stage, you design and develop the ML model, which involves selecting appropriate algorithms and features to detect bot activity.
Model verification: This is where you test and evaluate the model's performance to ensure it can accurately detect bots without false positives or negatives.
Sample collecting: Gathering relevant data samples (e.g., bot and non-bot traffic) to train the machine learning model is crucial to ensure it can learn from various scenarios.


NEW QUESTION # 43
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