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NEW QUESTION # 27
A technology company recently onboarded a new customer in the medical space. The customer needs a solution to provide data integrity across remote sites. Which solution must be used to meet this requirement?
Answer: B
Explanation:
In the context of theCisco Security Infrastructure (300-745 SDSI)objectives, ensuringdata integrityis a fundamental requirement, particularly in the healthcare sector where the accuracy of medical records at remote sites is critical for patient safety.Hashingis the primary mathematical process used to verify that data has not been altered or tampered with during transit between locations.
Hashing works by applying a cryptographic algorithm (such as SHA-256) to a data set to produce a fixed-size string of characters called a "hash" or "checksum." When data is sent from one remote site to another, the sender calculates a hash of the original data. Upon arrival, the receiving site recalculates the hash using the same algorithm. If the two hashes match exactly, the receiver is assured that the data is identical to the original and has maintained its integrity. Even a single-bit change in the original data would result in a completely different hash value.
WhileAuthentication(Option D) andPreshared Keys(Option C) are essential for verifying the identity of the sites and establishing secure tunnels (like IPsec VPNs), they do not, by themselves, provide the mathematical proof of content integrity.Data Masking(Option B) is a privacy technique used to hide sensitive information from unauthorized viewers, but it does not prevent or detect data corruption or unauthorized modifications.
Therefore, hashing is the specified technical control for achieving verifiable data integrity across distributed infrastructures.
NEW QUESTION # 28
An IT company operates an application in a SaaS model. The administrative tasks, such as customer onboarding, within the application must be restricted to users who are on the corporate network where admins can access those functions via a web browser or a smartphone application. Which application technology must be used to provide granular control based on function?
Answer: B
Explanation:
The requirement to restrict administrative tasks like "customer onboarding" to specific users based on their job function is a classic use case forRole-Based Access Control (RBAC). In the context of application security design, RBAC is the mechanism that maps a user's identity to a specific set of permissions within the application.
According to Cisco Security Infrastructure principles, RBAC ensures the principle ofleast privilegeby ensuring that an "Admin" role has access to onboarding functions, while a "Support" or "Standard User" role does not. This control is independent of the network layer and is enforced at the application or identity provider level. While aVPC(Option A) orSecurity Groups(Option C) provide network-layer isolation and can ensure the user is on the corporate network (by filtering IP ranges), they cannot distinguish between differentfunctionsoractionsperformed within the application once the connection is established. AService Mesh(Option D) is used for microservices communication and can provide some authorization, but RBAC is the primary architectural approach for defining "who can do what" within an application interface.
Implementing RBAC allows the SaaS provider to secure sensitive administrative workflows, ensuring that only authorized personnel can modify customer data or system configurations.
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NEW QUESTION # 29
A company recently discovered that a former employee, who left to join a competitor, continued to access and exfiltrate sensitive data over several weeks after leaving. The breach highlighted vulnerabilities in the organization's data security and access management practices. To prevent such incidents in the future, the organization must adopt measures that detect and restrict unauthorized data access and transfer. Which mitigation strategy must be implemented to address the issue?
Answer: A
Explanation:
A Data Loss Prevention (DLP) strategy directly addresses the problem of unauthorized access and exfiltration of sensitive data. DLP tools monitor, detect, and block suspicious data transfers, ensuring that insiders or former employees cannot copy, email, or upload sensitive information without authorization. This provides the required prevention and control that the scenario calls for.
NEW QUESTION # 30
What is a use for AI in securing network infrastructure?
Answer: A
Explanation:
In the architecture of modern security, Artificial Intelligence (AI) and Machine Learning (ML) are leveraged to move beyond reactive, signature-based defenses. One of the most significant uses of AI in securing network infrastructure is the detection ofzero-day attacks(often referred to in exam contexts as "day zero" attacks). A zero-day attack exploits a vulnerability that is unknown to the software vendor or the public, meaning no signature exists for traditional firewalls or antivirus software to block it.
AI identifies these threats throughbehavioral analysisandanomaly detection. By establishing a highly granular baseline of "normal" network traffic patterns-including flow direction, packet size, inter-packet arrival times, and protocol behavior-AI models can detect subtle deviations that indicate a malicious exploit.
For example,Cisco Secure Network Analytics(formerly Stealthwatch) andEncrypted Threat Analytics (ETA)use ML to identify the cryptographic "fingerprints" of malware even within encrypted traffic, without the need for decryption. This allows the security infrastructure to identify and mitigate threats at the moment they appear, rather than waiting for a vendor to release a signature. While load balancing (Option B), traffic shaping (Option C), and Quality of Service (Option D) are critical for network performance and availability, they are traditional traffic engineering functions that do not inherently provide the advanced threat detection capabilities offered by AI-driven security models. Within the Cisco SDSI objectives, AI is positioned as the primary technology for achieving proactive visibility and reducing the "Mean Time to Detect" (MTTD) for previously unseen vulnerabilities.
NEW QUESTION # 31
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 # 32
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