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NEW QUESTION # 28
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 a Kubernetes environment,Namespacesprovide a logical partition for resources but do not, by default, provide network isolation. To prevent "app01" from communicating with "app02," aNetworkPolicymust be implemented. NetworkPolicies act as the Layer 3/4 distributed firewall for the cluster, allowing administrators to define explicit rules for ingress and egress traffic between pods and namespaces.
To achieve complete isolation, a common design pattern is to implement a "deny-all" default policy for each namespace and then explicitly allow only necessary traffic. This aligns with theCisco SAFEarchitectural principle of micro-segmentation. WhileRoleBinding(Option B) manages permissions for the Kubernetes API (who can create or delete pods), it does not control the actual network traffic between those pods.HTTPRoute (Option A) andGateway(Option D) are components of the Kubernetes Gateway API used for managing external traffic routing and load balancing, rather than internal pod-to-pod isolation. By deploying NetworkPolicies, the administrator ensures that the "blast radius" of a compromised application is contained within its own namespace, fulfilling a core objective of securing cloud-native application infrastructure.
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NEW QUESTION # 29
Which generative AI impact is addressed by a human-in-the-loop design policy?
Answer: C
NEW QUESTION # 30
Which tool must be used to prioritize incidents by a SOC?
Answer: B
Explanation:
A Security Operations Center (SOC) is often overwhelmed by thousands of alerts from various security tools.
The primary tool used to aggregate, correlate, and-most importantly-prioritizethese incidents is the Security Information and Event Management (SIEM)system. According to the Cisco SDSI domain on Risk, Events, and Requirements, a SIEM acts as the central brain of the SOC.
A SIEM (such as Splunk or Cisco Secure Cloud Analytics) ingests logs from firewalls, endpoints, and cloud services. It uses correlation rules and risk-scoring algorithms to distinguish between low-priority "noise" and critical security incidents. For example, a single failed login might be ignored, but ten failed logins followed by a successful one and a large data transfer would be escalated as a high-priority incident.Endpoint Detection and Response (EDR)(Option B) andEndpoint Protection Platforms (EPP)(Option D) provide deep visibility and protection on individual hosts but lack the cross-platform correlation needed to prioritize organizational risk.CloudWatch(Option C) is a monitoring service for AWS resources but does not function as a multi-source security correlation engine. By using a SIEM, SOC analysts can focus their limited time on the most impactful threats, ensuring a more efficient and effective incident response process.
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NEW QUESTION # 31
What does watermarking AI generated content prevent?
Answer: D
Explanation:
In the realm of Artificial Intelligence and DevSecOps,watermarkingis a critical security technique used to identify the origin of synthetic media. As generative AI models become increasingly sophisticated, they can create highly realistic images, videos, and audio clips-often referred to asdeep fakes. These deep fakes pose a significant risk to organizational security and public trust, as they can be used for sophisticated social engineering attacks, such as impersonating executives in "Business Email Compromise" (BEC) scenarios or spreading misinformation.
By embedding a cryptographic or perceptible watermark into AI-generated content, security systems and users can verify the authenticity and provenance of the media. This proactive measure helps prevent the successful deployment of deep fakes by making it easier for automated security tools to flag synthetic content that lacks a valid "signature" of origin. While watermarking does not inherently stop the creation ofharmful content(Option C) or reduceresource consumption(Option A), it provides a layer of accountability and verification. Similarly,scale changes(Option D) are technical image manipulations that watermarking does not prevent. Within the Cisco SDSI framework, watermarking is viewed as an essential component of the AI security lifecycle, ensuring that generative technologies are used responsibly and that synthetic content is distinguishable from genuine data.
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NEW QUESTION # 32
Refer to the exhibit. A software developer noticed that the application source code had been found on the internet. To avoid such an incident from happening again, the developer applied a DLP policy to prevent from uploading source code into generative AI tool like ChatGPT. When testing the policy, the developer noticed that it is still possible for the source code to be uploaded.
Which action must the developer take to prevent this issue?
Answer: C
Explanation:
In the exhibit, the ChatGPT Source Code rule is configured with the action Monitor, which only logs activity but does not stop it. To prevent source code from being uploaded, the action must be changed to Block. This enforces the policy and ensures data exfiltration into generative AI tools is stopped.
NEW QUESTION # 33
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