By reviewing these results, you will be able to know and remove your mistakes. These 300-745 practice exams are created as per the pattern of the Designing Cisco Security Infrastructure (300-745) real examination. Therefore, Designing Cisco Security Infrastructure (300-745) mock exam takers will experience the real exam environment. It will calm down their nerves so they can appear in the 300-745 final test without anxiety or fear.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applications | 25% | - Security solutions for applications
|
| Topic 2: Artificial Intelligence, Automation, and DevSecOps | 15% | - AI and automation in security
|
| Topic 3: Risk, Events, and Requirements | 30% | - Security architecture requirements and frameworks
|
| Topic 4: Secure Infrastructure | 30% | - Security approaches to protect against threats
|
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NEW QUESTION # 29
Which generative AI impact is addressed by a human-in-the-loop design policy?
Answer: B
Explanation:
A human-in-the-loop design policy ensures that humans validate or oversee AI-generated outputs, reducing the risk of AI hallucinations (false or misleading information generated by AI).
This provides accountability and accuracy in generative AI use.
NEW QUESTION # 30
A global energy company moved a monolithic application from the data center to public cloud.
Over time, the company added many capabilities to the application, and it is now difficult for the application team to scale it. The application owner decided to modernize the application by moving to a Kubernetes cluster. However, he wants to ensure that the new application architecture provides a container network interface that is scalable, offers options for cloud-native security, and helps with visibility and observability. Which solution must be used to accomplish the task?
Answer: A
Explanation:
Cilium is a Kubernetes Container Network Interface (CNI) that provides scalability, cloud-native security with eBPF-based enforcement, and strong visibility/observability into network traffic between microservices. It is purpose-built to modernize applications running in Kubernetes clusters.
NEW QUESTION # 31
A manufacturing company recently experienced a network-down scenario due to malware spread on the management network. The company wants to implement a solution to detect and mitigate a similar threat in the future and protect the overall network. Which solution meets the requirements?
Answer: D
Explanation:
The spread of malware across a sensitive segment like themanagement networkhighlights a failure in host- level security and internal visibility. To detect and mitigate the spread of such threats and protect the overall network,Endpoint Detection and Response (EDR)is the most effective choice among the options. In the Cisco security ecosystem, the endpoint is often the last line of defense and the most critical source of telemetry for malware incidents.
By deploying an EDR solution likeCisco Secure Endpoint, the manufacturing company gains the ability to identify the "patient zero" of the infection. EDR uses advanced features likeDevice TraversalandLateral Movementdetection to see how malware moves from one machine to another over the management network.
Once detected, the security team can use the EDR platform to initiate a "host isolation" command, effectively cutting off the infected device's communication with the rest of the network without physically unplugging it.
WhileEncrypted Threat Analytics (ETA)(Option C) is a powerful network-based feature for detecting malware in encrypted traffic without decryption, EDR provides the most granular control and response capabilities specifically for malwareresiding on and spreading betweenhosts. RADIUS (Option B) and IPsec VPNs (Option D) focus on access control and encryption of data in transit, respectively, but do not provide the behavioral analysis needed to stop a running malware outbreak once the network has already been accessed.
NEW QUESTION # 32
What is a use for AI in securing network infrastructure?
Answer: A
Explanation:
AI enhances network security by detecting zero-day attacks through behavior analysis, anomaly detection, and pattern recognition. This allows threats to be identified and mitigated even before traditional signatures are available.
NEW QUESTION # 33
How is generative AI used in securing networks?
Answer: A
Explanation:
The integration ofArtificial Intelligence (AI)andGenerative AI (GenAI)into network security is a pivotal component of theCisco SDSI v1.0blueprint. While traditional security mechanisms rely on deterministic rules and static signatures, GenAI leverages large-scale telemetry data to understand the baseline behavior of a specific network environment. By processing vast amounts of flow logs, packet metadata, and user activity, AI models candetect unusual patterns-often referred to as anomalies-that signify sophisticated threats such as zero-day exploits, lateral movement, or slow-and-low data exfiltration.
In a modern security architecture, GenAI enhances the "Visibility and Monitoring" domain by identifying deviations that would be invisible to human analysts. For instance, if an application suddenly changes its communication frequency or connects to a previously unknown internal segment, the AI can flag this as a potential compromise. Unlike Option A or B, which focus on operational efficiency and performance, or Option C, which is a reporting and compliance function, the use of AI forbehavioral analyticsdirectly strengthens the threat detection lifecycle. Cisco products likeSecure Network Analytics(Stealthwatch) and Cognitive Intelligenceuse these AI capabilities to transition from reactive defense to a proactive posture, reducing the window of opportunity for attackers and aligning with the Cisco SAFE principle of continuous monitoring and pervasive visibility.
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NEW QUESTION # 34
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