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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
  • 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 4
  • 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.

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Cisco Designing Cisco Security Infrastructure Sample Questions (Q49-Q54):

NEW QUESTION # 49
A global marketing firm, based in California with customers on every continent, suffered a data breach that exposed employee and customer PII. Which regulations is the company in danger of violating?

Answer: D

Explanation:
Since the company serves customers on every continent, including the European Union, exposing customer PII puts it at risk of violating the General Data Protection Regulation (GDPR).
GDPR applies globally to any organization handling EU residents' personal data, regardless of where the company is based.


NEW QUESTION # 50
How does a SOC leverage flow collectors?

Answer: B

Explanation:
Aflow collector(such asCisco Secure Network Analytics, formerly Stealthwatch) is a critical tool within a Security Operations Center (SOC) for providing "pervasive visibility" into the network. Instead of capturing every full packet-which is resource-intensive-a flow collector ingests NetFlow or IPFIX data, which contains metadata like source/destination IPs, ports, and the volume of data transferred.
The SOC leverages this data forthreat detection and responseby establishing a baseline of normal network behavior. When a flow collector identifies an anomaly-such as an endpoint suddenly sending gigabytes of data to an unusual external IP (data exfiltration) or scanning internal ports (lateral movement)-it flags the incident for analysis. UnlikeReal-time content filtering(Option D), which happens at the gateway (e.g., Cisco Umbrella or WSA), flow collectors provide a historical record and behavioral analysis ofallinternal and external traffic. They do not performload balancing(Option B) orbackup/recovery(Option A). In the Cisco SDSI framework, flow analysis is essential for identifying the "unknown unknowns" and providing the forensic evidence needed to understand the scope and path of a security breach.


NEW QUESTION # 51
A company hosted multiple applications in the Kubernetes environment, using the naming app01, app02, and so on. An app01 user could access app02 data because no security measures are implemented. The administrator decided to place each application within a separate namespace and ensure that the namespaces are completely isolated and cannot communicate with each other. Which solution must be used to accomplish the task?

Answer: B

Explanation:
In Kubernetes, a NetworkPolicy controls communication between pods and namespaces. By applying policies that deny cross-namespace traffic, the administrator can ensure each application (e.g., app01, app02) is isolated and cannot access data from other namespaces.


NEW QUESTION # 52
Which benefit does AI provide in network security?

Answer: A

Explanation:
According to the Cisco SDSI v1.0 objectives, Artificial Intelligence and Machine Learning (ML) provide significant benefits in automating the identification of complex security weaknesses. One of the primary benefits is the ability of AI to performEncrypted Threat Analytics (ETA). AI models can analyze the metadata and initial handshake patterns of encrypted traffic-without needing to decrypt it-toidentify vulnerabilities associated with weak TLS algorithmsor outdated cipher suites.
By recognizing specific fingerprints in the TLS handshake, AI-driven tools can alert administrators to non- compliant encryption standards that might be susceptible to interception. While AI is a powerful force multiplier, it doesnot replacea comprehensive defense-in-depth strategy (Option B); rather, it enhances it. It does not directlyspeed up data transmission(Option A), as that is a function of hardware and bandwidth.
Furthermore, while AI helps mitigate DDoS attacks, it rarely provides "complete" protection (Option C) on its own, as DDoS mitigation requires a multi-layered approach involving massive bandwidth and specialized scrubbing. The ability to identify cryptographic weaknesses at scale is a core functional benefit of AI in modern security infrastructure, aligning with the Cisco goal of maintaining a hardened and compliant network posture through automated visibility.


NEW QUESTION # 53
When designing security for applications distributed across multiple cloud providers, what is a key consideration?

Answer: D

Explanation:
Consistent identity and access management policies across cloud providers ensure uniform security controls and simplify governance in multi-cloud environments.


NEW QUESTION # 54
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