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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Artificial Intelligence, Automation, and DevSecOps | 15% | - AI and automation in security
|
| Topic 2: Risk, Events, and Requirements | 30% | - Security architecture requirements and frameworks
|
| Topic 3: Secure Infrastructure | 30% | - Security approaches to protect against threats
|
| Topic 4: Applications | 25% | - Security solutions for applications
|
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NEW QUESTION # 24
Which two best practices align with incident response and compliance objectives? (Choose two.)
Answer: A,D
Explanation:
Immutable logs preserve evidence integrity, while real-time monitoring allows faster detection and response-both essential for incident response and regulatory compliance.
NEW QUESTION # 25
Which design policy addresses harmful content creation by generative AI?
Answer: C
Explanation:
Watermarking is a generative AI design policy that embeds hidden identifiers into AI-generated content. This helps address the risk of harmful content creation by enabling traceability and accountability, making it easier to detect and regulate malicious or misleading AI outputs.
NEW QUESTION # 26
A legal services company wants to prevent remote employees from accessing personal email and social media accounts while using corporate laptops. Which security solution enforces the policy?
Answer: D
Explanation:
Cisco Umbrella provides DNS-layer security and content filtering, allowing organizations to block categories such as personal email and social media. This enforces acceptable-use policies for remote employees regardless of where they connect, ensuring corporate devices comply with security requirements.
NEW QUESTION # 27
After a recent security breach, a financial company is reassessing their overall security posture and strategy to better protect sensitive data and resources. The company already deployed on-premises next-generation firewalls at the network edge for each branch location. Security measures must be enhanced at the endpoint level. The goal is to implement a solution that provides additional traffic filtering directly on endpoint devices, thereby offering another layer of defense against potential threats. Which technology must be implemented to meet the requirement?
Answer: D
Explanation:
When moving security closer to the data, the endpoint becomes the final perimeter. Ahost-based firewallis a software component that runs directly on the endpoint's operating system (Windows, macOS, or Linux).
While the company already has Next-Generation Firewalls (NGFWs) at the network edge, those devices cannot protect endpoints from threats originating within the same local network segment (East-West traffic) or when the device is used outside the corporate office.
Implementing a host-based firewall provides a critical layer ofdefense-in-depth. It allows security administrators to enforce strict inbound and outbound traffic rules based on applications and services specific to that device. For example, it can prevent a compromised laptop from scanning other devices on a public Wi- Fi network. In the Cisco ecosystem, this is often achieved through theCisco Secure Client(AnyConnect) using theNetwork Visibility Module (NVM)or integrated endpoint security suites.
While aDistributed Firewall(Option C) is used for micro-segmentation within data centers/clouds and aWeb Application Firewall (WAF)(Option B) protects servers from web-based attacks, only a host-based firewall meets the requirement for traffic filtering directly on the diverse array of endpoint devices. This approach ensures that even if the network edge is bypassed, the individual host remains hardened against lateral movement and unauthorized communication.
NEW QUESTION # 28
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 # 29
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