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Cisco Designing Cisco Security Infrastructure Sample Questions (Q53-Q58):

NEW QUESTION # 53
A company recently discovered that a former employee, who left to join a competitor, continued to access and exfiltrate sensitive data over several weeks after leaving. The breach highlighted vulnerabilities in the organization's data security and access management practices. To prevent such incidents in the future, the organization must adopt measures that detect and restrict unauthorized data access and transfer. Which mitigation strategy must be implemented to address the issue?

  • A. Implement data loss prevention strategy.
  • B. Upgrade network policy access.
  • C. Implement web application firewall.
  • D. Deploy audit logging and monitoring solution.

Answer: A

Explanation:
The scenario describes a typical "insider threat" involvingdata exfiltration. While the initial failure was likely in the off-boarding process (Identity Management), the technical control required to specifically "detect and restrict unauthorized data access and transfer" is aData Loss Prevention (DLP) strategy. DLP solutions are designed to monitor, detect, and block sensitive data from leaving the organization's control.
A robust DLP strategy-integrated across Cisco platforms likeEmail Security (ESA),Web Security (WSA), andCisco Umbrella-works by identifying sensitive content (such as customer lists, proprietary code, or financial data) using techniques like fingerprinting or keyword matching. If an unauthorized attempt is made to upload this data to a personal cloud drive or send it via email, the DLP engine intercepts and blocks the transfer. WhileAudit Logging(Option D) is essential for forensic investigationafterthe fact, it does not
"restrict" the transfer in real-time.WAFs(Option A) protect against external attacks on web servers, and Network Policies(Option B) control traffic flow but generally lack the content-awareness required to identify sensitive business data. Implementing DLP ensures that the organization's intellectual property remains protected even if an account remains active or a user has legitimate network access.


NEW QUESTION # 54
After deploying a new API, the security team must identify the components of the application that are exposed to the internet and whether there are application authentication risks. Which technology must be deployed to discover the applications services and monitor for authentication issues?

  • A. Cloud Workload Protection
  • B. Cloud Security Posture Management
  • C. secret scanning
  • D. API trace analysis

Answer: D

Explanation:
Securing APIs requires visibility into the "runtime" behavior of the application.API trace analysis(often part of anAPI Securitysolution like Cisco Panoptica) is the technology used to automatically discover API endpoints and analyze the traffic flowing through them. This process identifies "shadow APIs" (undocumented endpoints) that are exposed to the internet and inspects the headers and payloads for authentication risks, such as missing tokens or broken object-level authorization (BOLA).
By monitoring actual traffic traces, the security team can confirm if the API is following the intended security design or if it is leaking sensitive data due to poor authentication implementation.Cloud Security Posture Management (CSPM)(Option A) focuses on the configuration of the cloud infrastructure (like an open S3 bucket) rather than the internal logic of an API's authentication.Secret scanning(Option C) is a "shift-left" technique used to find hardcoded passwords in source code during the build phase, not for monitoring live traffic.Cloud Workload Protection (CWPP)(Option D) focuses on protecting the underlying host or container from malware and exploits. Only API trace analysis provides the specific visibility into service discovery and application-layer authentication health required in the Cisco SDSI v1.0 objectives for modern DevSecOps environments.


NEW QUESTION # 55
A manufacturing company implemented IoT devices throughout their smart factory and needs a security solution that meets these requirements:
* Protect IoT devices from network-based attacks.
* Visibility into communication patterns.
* Anomaly detection for IoT traffic.
Which firewall technology or feature should be recommended?

  • A. traditional firewall
  • B. transparent firewall
  • C. IPS/IDS
  • D. zone-based firewall

Answer: C

Explanation:
In a smart factory environment, IoT devices often use specialized industrial protocols (like Modbus, PROFINET, or EtherNet/IP) and have limited built-in security. To meet the requirements of protecting these devices from network-based attacks while gaining visibility into communication patterns and detecting anomalies, anIPS/IDS (Intrusion Prevention/Detection System)is the most effective solution.
Modern Cisco Secure Firewall (NGFW) systems integrate advanced IPS/IDS capabilities that go beyond simple port-based filtering. They provide deep packet inspection (DPI) to identify specific IoT protocols and baseline "normal" behavior. When an IoT device suddenly begins communicating with an unknown external IP or attempts to use a command it has never used before, the IPS/IDS can trigger an alert or block the traffic as an anomaly.
While aZone-Based Firewall(Option A) or aTraditional Firewall(Option C) can segment traffic and control access between zones, they generally lack the granular visibility and behavior-based anomaly detection required for IoT security. ATransparent Firewall(Option B) is a deployment mode that makes the firewall
"invisible" at Layer 2, which is useful for insertion into existing networks but does not inherently provide the required anomaly detection. Therefore, IPS/IDS is the primary technology within the Cisco Security Infrastructure that addresses the need for signature-based protection combined with behavioral visibility for specialized IoT traffic.
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NEW QUESTION # 56
A company has been facing recurring issues with SQL injection vulnerabilities affecting the products, leading to significant disruptions for customers. To address the security concerns proactively, the company wants to integrate a tool into the CI/CD pipeline. The tool must be capable of identifying vulnerabilities such as SQL injection early in the development process, which allows developers to rectify issues before the code is deployed. Which solution must be implemented to meet the requirement?

  • A. Dynamic Application Security Testing tools, such as OWASP ZAP, Veracode, Burp Suite
  • B. Static Application Security Testing tools, such as Checkmarx, Fortify, SonarQube
  • C. build log observability tools, such as Splunk, Datadog
  • D. workflow automation tools, such as GitHub Actions, Azure

Answer: B

Explanation:
Static Application Security Testing (SAST) tools analyze source code during the development and build phases of the CI/CD pipeline. They can identify coding flaws such as SQL injection vulnerabilities early, allowing developers to fix issues before deployment.


NEW QUESTION # 57
Which generative AI impact is addressed by a human-in-the-loop design policy?

  • A. deep fakes
  • B. scale changes
  • C. AI hallucinations
  • D. phishing

Answer: C

Explanation:
In the realm of Artificial Intelligence security,AI hallucinationsoccur when a generative model perceives patterns that are non-existent or logically incorrect, leading to the creation of content that is nonsensical, factually wrong, or potentially dangerous. To mitigate the risks associated with these inaccuracies, ahuman- in-the-loop (HITL)design policy is essential. This policy ensures that human judgment and contextual understanding are integrated into the AI's decision-making or output validation process.
According to theCisco SDSI v1.0objectives, while AI is exceptional at processing high volumes of data, it lacks the ethical and logical framework to consistently identify its own hallucinations. By implementing a HITL approach, subject matter experts can review AI-generated responses, code, or security alerts before they are acted upon. This human oversight allows for the identification of "logical leaps" or false information that automated filters might miss.
Whiledeep fakes(Option B) are typically addressed through cryptographic watermarking or origin tracking, andphishing(Option C) is mitigated via email security gateways and user training, hallucinations are an inherent flaw in the model's predictive nature that requires manual verification.Scale changes(Option D) refer to technical image manipulations and are not a primary concern for HITL policies. Incorporating human feedback-often throughReinforcement Learning from Human Feedback (RLHF)-allows the security infrastructure to refine the model's accuracy over time, ensuring that generative outputs remain reliable, safe, and aligned with organizational standards.


NEW QUESTION # 58
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