Quiz Cisco - Professional 300-745 - Test Designing Cisco Security Infrastructure Dumps Free

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Cisco 300-745 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • 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.

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Cisco Designing Cisco Security Infrastructure Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which tool is used to collect, analyze, and visualize logs from network devices, endpoints, and other sources in an enterprise?

Answer: A

Explanation:
Splunk is a SIEM and log management tool used to collect, analyze, and visualize logs from diverse sources such as network devices, endpoints, and applications. It provides centralized visibility for security monitoring and incident response.


NEW QUESTION # 12
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: A

Explanation:
In the "Risk, Events, and Requirements" domain of the Cisco SDSI curriculum, understanding how to systematically identify and mitigate threats is essential.MITRE CAPEC (Common Attack Pattern Enumeration and Classification)is a comprehensive dictionary and classification scheme for known attack patterns used by adversaries. It is specifically designed to help security engineers, developers, and designers understand how an attacker might exploit a system. By using CAPEC during the threat modeling phase, an engineer can look at specific "attack patterns"-such as SQL injection, Cross-Site Scripting (XSS), or Man-in- the-Middle-to see if the application's architecture is resilient against them.
UnlikeCisco SAFE(Option A), which is an architectural guide providing best practices for designing secure networks, orGDPR(Option B) andSOC2(Option D), which are regulatory and compliance frameworks focused on privacy and operational auditing, CAPEC is purely technical and focused on the "how" of an attack. It provides the granular data necessary to simulate attacks and build robust defenses into the application design. Integrating CAPEC into the development lifecycle allows teams to move beyond broad risks and address the specific methods attackers use to bypass security controls. This alignment with the MITRE knowledge base ensures that the security infrastructure is designed with a realistic understanding of modern adversarial tactics, which is a core objective for Cisco security professionals.


NEW QUESTION # 13
Which financial reporting regulatory framework must a publicly traded company doing business in the US comply with?

Answer: A

Explanation:
Publicly traded companies in the United States must comply with the Sarbanes-Oxley Act (SOX).
This regulation mandates strict standards for financial reporting, internal controls, and data integrity to protect investors from fraudulent financial practices.


NEW QUESTION # 14
A software development company relies on GitHub for managing the source code and is committed to maintaining application security. The company must ensure that known software vulnerabilities are not introduced to the application. The company needs a capability within GitHub that can analyze semantic versioning and flag any software components that pose security risks. Which GitHub feature must be used?

Answer: D

Explanation:
In modern DevSecOps, managing third-party dependencies is a major security challenge.Dependabot(often stylized as Depend-a-bot) is the specific GitHub feature designed to automate the identification and updating of vulnerable dependencies. It works by scanning the application's manifest files (like package.json or requirements.txt) and analyzing thesemantic versioningof the included libraries.
When a known vulnerability (CVE) is reported in a specific version of a library used by the application, Dependabot flags the security risk and alerts the development team. Most importantly, it can automatically generate pull requests to upgrade the dependency to the minimum secure version that resolves the vulnerability. This ensures that the application remains secure without requiring manual tracking of every third-party component.
WhileGitHub Actions(Option C) can be used to run security scanners (like SAST tools), it is a general automation framework, not a dedicated dependency analysis tool.Artifact attestations(Option D) are used to prove the provenance and integrity of a build, andSealed boxes(Option B) is not a standard GitHub security feature related to vulnerability scanning. Utilizing Dependabot directly supports the Cisco SDSI objective of
"Securing the CI/CD pipeline" by proactively managing the Software Bill of Materials (SBOM) and ensuring that vulnerable components do not reach the production environment.


NEW QUESTION # 15
Which design policy addresses harmful content creation by generative AI?

Answer: B

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 # 16
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