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| Section | Weight | Objectives |
|---|---|---|
| Applications | 25% | - Secure web gateway and firewall proxy solutions - Secure access for remote workers and distributed applications - Microservices and container security - API security architecture |
| Risk, Events, and Requirements | 30% | - Describe the use of frameworks in the lifecycle of a security design
- Describe how the SOC leverages incident handling and incident response tools - Modify a design to mitigate risk - Match the regulatory and industry compliance document to a given business or technical scenario |
| Artificial Intelligence, Automation, and DevSecOps | 15% | - Evaluate policies to address the impacts of emerging technologies
- Describe the functions, uses, and role of AI in securing network infrastructure - Describe DevSecOps concepts and practices for CI/CD pipelines |
| Secure Infrastructure | 30% | - Select the security approaches to protect against threats
|
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NEW QUESTION # 38
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 # 39
Refer to the exhibit.
In addition to SSL decryption, which firewall feature allows malware to be blocked?
Answer: B
Explanation:
Based on the provided exhibits, the correct firewall feature for blocking malware in this context isFile Inspection.
Inimage_4c047c.png, we see a Cisco Secure Firewall Access Control Policy rule named "Default Inspect".
This rule is configured to allow traffic from the "inside" zone to the "outside" zone while applying deep packet inspection. Crucially, the configuration includes aFile Policyfield, which is the mechanism used to perform malware analysis and file disposition lookups. By associating a File Policy with an Access Control rule, the firewall can inspect files as they transit the network, calculate their SHA-256 hash, and query the Cisco Collective Security Intelligence cloud to determine if the file is malicious, clean, or unknown.
The evidence of this feature in action is found inimage_4b1ebe.png, which shows theCisco Secure Endpoint (formerly AMP for Endpoints) Device Trajectory. The "Activity Details" pane specifically identifies a malicious file (iodnxvg.exe) categorized asW32.DFC.MalParent. While the log notes the file was not quarantined because it was in "audit only mode," the underlying technology performing the detection isFile Inspection. This feature provides the necessary visibility into the contents of encrypted or unencrypted data streams to identify and-when properly configured in a "Protect" or "Block" mode-stop the execution of malware. This aligns with the Cisco SDSI objective of building a layered defense that combines perimeter traffic control with granular file-level security.
NEW QUESTION # 40
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 # 41
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: B
Explanation:
The General Data Protection Regulation (GDPR) is a comprehensive data privacy law in the European Union (EU) that has a significant global reach. For a California-based marketing firm with customers on every continent, any breach involving the Personally Identifiable Information (PII) of European residents triggers immediate and severe legal exposure under GDPR. This regulation is unique because of its extraterritorial application; it mandates that any entity-regardless of its physical headquarters-must comply if they offer goods or services to, or monitor the behavior of, individuals located within the EU.
In the event of a data breach, GDPR requires organizations to notify the relevant supervisory authority within
72 hours and, in cases of high risk, notify the affected individuals without undue delay. Failure to implement adequate technical and organizational measures to protect data can result in astronomical fines of up to €20 million or 4% of annual global turnover, whichever is higher. While other frameworks like NIST SP 800-53 (often confused with ISO in Option A) or ISO 27001 (Option D) provide the architectural standards and controls to prevent such incidents, they are voluntary standards or frameworks, not legally binding regulations that a company "violates" in the same sense as GDPR. FedRAMP (Option B) is specific to US federal government cloud service providers and would not typically apply to a private marketing firm's global operations. Thus, GDPR represents the primary regulatory threat for a global firm handling international PII.
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NEW QUESTION # 42
A developer company recently implemented a testing environment based on Linux operating system. The company needs a technology solution that produces tracing and filtering capabilities in the Linux kernel.
Which technology meets these requirements without modifying the kernel source code?
Answer: A
Explanation:
In modern secure infrastructure design, especially within high-performance testing and developer environments, the ability to observe and filter traffic at a deep level is crucial. eBPF (extended Berkeley Packet Filter) is a revolutionary technology that allows developers to run sandboxed programs within the Linux kernel. The primary advantage of eBPF is that it enables sophisticated tracing, monitoring, and network filtering capabilities without the need to modify the underlying kernel source code or load intrusive kernel modules.
In the context of the Cisco SDSI objectives, eBPF is highlighted as a key component of distributed firewalling and cloud-native security architectures. It operates by attaching programs to various "hooks" in the kernel, such as network events, tracepoints, or system calls. When a packet enters the system or a specific event occurs, the eBPF program can inspect the context and make high-speed decisions on whether to allow, drop, or redirect traffic. This provides a much more efficient and flexible alternative to traditional technologies like IPTables. Because eBPF programs are verified for safety by a JIT compiler before being executed, they do not risk crashing the kernel, making them ideal for dynamic developer environments. Unlike Vector Packet Processing (VPP) (Option D), which moves packet processing into userspace, or standard Next-Generation Firewalls (NGFW) (Option C), which are typically separate appliances, eBPF provides "in-kernel" observability and enforcement that is programmable and highly scalable for microservices and containerized applications.
NEW QUESTION # 43
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