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Cisco 300-745 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Secure Infrastructure: Covers selecting security approaches for endpoints, identities, email, and modern environments like hybrid work, IoT, SaaS, and multi-cloud. Includes choosing VPN
  • tunneling solutions, securing management planes, and selecting the appropriate firewall architecture based on business needs.
Topic 2
  • Applications: Focuses on selecting security solutions to protect applications and designing secure architectures for cloud-native, containerized, and serverless environments using segmentation. Also addresses security design impacts of emerging technologies like AI, ML, and quantum computing.
Topic 3
  • Artificial Intelligence, Automation, and DevSecOps: Explores AI's role in securing network infrastructure, selecting tools for automated security architectures such as SOAR, IaC, and API tooling, and integrating security into DevSecOps workflows and pipelines to minimize deployment risk.
Topic 4
  • Risk, Events, and Requirements: Covers SOC incident handling and response tools, modifying security designs to mitigate or respond to incidents, and applying frameworks like MITRE CAPEC, NIST SP 800-37, and SAFE. Includes matching regulatory and compliance requirements to business scenarios.

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Cisco Designing Cisco Security Infrastructure Sample Questions (Q40-Q45):

NEW QUESTION # 40
A security engineer on an application design team must choose a framework of attack patterns to evaluate during threat modeling. Which framework provides the common set of attacks?

Answer: D


NEW QUESTION # 41
An oil and gas company recently faced a security breach when an employee's notepad, which contained critical login credentials, was stolen. The incident led to unauthorized access to a user account, which posed a significant risk to sensitive company data and operations. The company wants to adopt a security measure that enhances user account protection. Which action must be taken to prevent breaches like this from happening in the future?

Answer: D

Explanation:
The scenario described-where physical theft of written credentials led to a breach-is a classic failure of single-factor authentication. To mitigate this risk, the company must implementMulti-Factor Authentication (MFA). MFA requires users to provide two or more verification factors to gain access to a resource, typically categorized as something you know (password), something you have (a smartphone or hardware token), or something you are (biometrics).
According to Cisco Security Infrastructure design best practices, MFA (such asCisco Duo) ensures that even if an attacker possesses valid credentials (the "something you know" from the stolen notepad), they cannot gain access without the second factor (the "something you have"). This effectively neutralizes the threat of stolen passwords.Single Sign-On (SSO)(Option B) improves user experience and centralizes management but does not, by itself, stop an attacker who has the master password.Updating the RADIUS server(Option C) is a maintenance task that doesn't change the authentication logic, and apassword expiration policy(Option D) would only limit the "shelf life" of the stolen credentials rather than preventing their initial use. MFA is the most robust architectural control for enhancing identity security and is a core pillar of a Zero Trust framework.
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NEW QUESTION # 42
Which design policy addresses harmful content creation by generative AI?

Answer: D

Explanation:
The creation of harmful content (such as hate speech, misinformation, or malicious code) by generative AI models is a major concern in modern security design. The most effective design policy to mitigate this is the Human-in-the-loop (HITL)approach. This involves integrating human oversight and intervention at various stages of the AI's operation, particularly during the verification of the model's output before it is published or acted upon.
According to Cisco SDSI objectives regarding AI security, HITL ensures that automated decisions are subject to ethical judgment and contextual awareness that AI currently lacks. Humans can provide "Reinforcement Learning from Human Feedback" (RLHF) to tune the model's safety filters, ensuring it refuses to generate toxic or prohibited content. WhileWatermarking(Option B) helps identify content as AI-generated after the fact, it does not prevent thecreationof harmful material.Retrieval Augmented Generation (RAG)(Option C) is a technique for grounding AI in specific data to reduce "hallucinations" but doesn't inherently filter for harmful intent.Quantum resistant encryption(Option A) is a cryptographic standard unrelated to content moderation. HITL remains the primary safeguard for ensuring AI outputs align with safety guidelines and organizational requirements.
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NEW QUESTION # 43
Which generative AI impact is addressed by a human-in-the-loop design policy?

Answer: C


NEW QUESTION # 44
A product manager is focused on maintaining the security integrity of a microservice-based application as new features are developed and integrated. To ensure that known software vulnerabilities are not introduced into the product, it is crucial to implement a robust application security technique. The technique must be applied during the build phase of the software development lifecycle, which allows the team to proactively identify and address vulnerability risks before deployment. Which application security technique must be applied to accomplish the goal?

Answer: D

Explanation:
In a microservices-based architecture, applications are typically packaged into containers to ensure consistency across different environments. According to theDesigning Cisco Security Infrastructure (SDSI) objectives, securing the software development lifecycle (SDLC) requires integrating security checks as far
"left" as possible.Container scanningis the specific technique used during the build phase to inspect container images for known software vulnerabilities (CVEs) within the bundled libraries, binaries, and dependencies.
When a developer initiates a build, the container scanning tool cross-references the layers of the image against vulnerability databases. If a high-risk vulnerability is detected in a base image or a third-party library, the build can be automatically failed, preventing the vulnerable code from ever reaching the registry or production environment. This directly addresses the product manager's goal of ensuring known vulnerabilities are not introduced. WhileSecret Detection(Option A) is vital for finding leaked API keys or passwords, and Infrastructure as Code (IaC) scanning(Option C) ensures the environment configuration is secure, neither specifically targets the software vulnerabilities within the application package itself. Similarly,Open API specification analysis(Option D) focuses on the contract and security of the interface rather than the underlying software vulnerabilities. By implementing container scanning, organizations align with Cisco's DevSecOps framework, which emphasizes automated, policy-driven security within the CI/CD pipeline to maintain the integrity of cloud-native applications.


NEW QUESTION # 45
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