Free Cisco 300-745 Practice Exam with Questions & Answers | Set: 2

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.

Polymorphic malware is particularly dangerous because it constantly changes its identifiable features (such as its file name or encryption keys) to evade traditional signature-based detection. A stateful traditional firewall is ineffective here as it primarily checks packet headers rather than inspecting the payload for malicious intent. To defend against these variants, aheuristics-based IPS (Intrusion Prevention System)is required.

Unlike traditional IPS systems that look for an exact match of a known threat "signature," heuristics-based systems look forsuspicious characteristicsor behaviors. For example, if a file attempts to modify system registries in a specific sequence or uses obfuscation techniques common to malware, the heuristics engine will flag and block it even if it has never seen that specific version of the malware before. This is a core component ofCisco Secure Firewall (NGFW). While aWAF(Option A) protects web applications and aNetwork Performance Monitor(Option C) provides visibility into traffic speeds, neither is designed to combat evolving malware. Adding a heuristics-based IPS provides the "deep packet inspection" layer necessary for a true defense-in-depth strategy, ensuring the agricultural company is protected against modern, evasive cyber threats.

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In a microservices-based architecture, applications are typically packaged into containers to ensure consistency across different environments. According to theDesigning Cisco Security Infrastructure (SDSI)objectives, securing the software development lifecycle (SDLC) requires integrating security checks as far "left" as possible.Container scanningis the specific technique used during the build phase to inspect container images for known software vulnerabilities (CVEs) within the bundled libraries, binaries, and dependencies.

When a developer initiates a build, the container scanning tool cross-references the layers of the image against vulnerability databases. If a high-risk vulnerability is detected in a base image or a third-party library, the build can be automatically failed, preventing the vulnerable code from ever reaching the registry or production environment. This directly addresses the product manager's goal of ensuring known vulnerabilities are not introduced. WhileSecret Detection(Option A) is vital for finding leaked API keys or passwords, andInfrastructure as Code (IaC) scanning(Option C) ensures the environment configuration is secure, neither specifically targets the software vulnerabilities within the application package itself. Similarly,Open API specification analysis(Option D) focuses on the contract and security of the interface rather than the underlying software vulnerabilities. By implementing container scanning, organizations align with Cisco’s DevSecOps framework, which emphasizes automated, policy-driven security within the CI/CD pipeline to maintain the integrity of cloud-native applications.

In the provided exhibit of theCisco Data Loss Prevention (DLP) Policyinterface (likely within Cisco Umbrella or a similar cloud security gateway), the reason for the policy's failure to stop the upload is clearly visible in the "Action" column. The rule named"ChatGPT Source Code"is currently configured with the action set toMonitor.

According to theCisco SDSI v1.0objectives regarding application and data security, theMonitoraction is designed for visibility and auditing. It allows the traffic to pass through while generating a log entry for security analysts to review. This is often used during an initial "discovery" phase to understand how data is moving without disrupting business processes. However, to fulfill the requirement ofpreventingthe unauthorized upload of sensitive data—such as application source code—the policy must be enforcement-centric.

By selectingOption D, the developer changes the action from "Monitor" toBlock. In "Block" mode, the DLP engine will actively intercept the web request to ChatGPT, inspect the content for "Source Code" classifications, and drop the connection if a match is found, thereby preventing the data from leaving the corporate environment. While moving rules (Option B) can resolve conflicts if a "Block" rule is superseded by an "Allow" rule higher in the list, the primary issue here is the non-restrictive action of the specific rule itself. Modifying data classifications (Option C) is unnecessary if the engine is already correctly identifying the source code, as evidenced by the successful monitoring logs mentioned in the scenario. Changing the action to Block is the definitive step to ensure data integrity and prevent intellectual property theft.

In the modern landscape of remote work, a legal services company must enforce acceptable use policies (AUP) regardless of where a corporate laptop is located.Cisco Umbrellais the ideal architectural solution for this requirement. Umbrella acts as a Secure Internet Gateway (SIG) that operates primarily at the DNS and web layer. When a remote employee attempts to access a personal email site or a social media platform, Umbrella intercepts the DNS request and checks it against the organization's defined security policy.

Cisco Umbrella provides granularContent Filteringcapabilities, allowing administrators to block entire categories of websites, such as "Social Networking" or "Webmail," with a single click. This enforcement happens at the edge—before a connection is even established to the malicious or unauthorized site—making it highly efficient for remote users who may not be connected to the corporate VPN. WhileCisco TrustSec(Option A) andRADIUS(Option B) are powerful for internal network segmentation and authentication, they do not inherently provide the URL/domain-based categorization required to block specific web content for remote clients. Anetwork monitoring tool(Option D) provides visibility but lacks the active enforcement mechanism to block traffic. Therefore, Cisco Umbrella is the specified technology in the SDSI objectives for cloud-delivered web security and policy enforcement for a distributed workforce.

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In the aftermath of a security breach, forensic investigators rely on theAccountingportion ofAAA (Authentication, Authorization, and Accounting)to reconstruct a timeline of events. While Authentication verifies identity and Authorization defines permissions, Accounting is the specific framework used to track user activity, including login/logout times and the specific commands executed during a session.

According to Cisco Security Infrastructure design objectives, implementing a centralized AAA solution (such asCisco Identity Services Engine (ISE)or a TACACS+/RADIUS server) is critical for accountability. In this scenario, the engineer would query the AAA logs to identify exactly "who" accessed the sales system during the compromise period.SNMP(Option A) is primarily for network monitoring and performance data, not granular user access logs.NACM(Option B) is an access control model for NETCONF but doesn't provide the broad auditing required here.PKI(Option D) provides the certificates used for digital signatures and encryption but does not log the historical "session" data needed for the investigation. Therefore, AAA is the fundamental architectural requirement for ensuring non-repudiation and providing the audit trail necessary to satisfy risk management and incident response requirements.

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The spread of malicious content between endpoints is a classic case oflateral movement. To control and restrict communication between individual endpoints—regardless of their physical location or IP address—Cisco TrustSecis the recommended architectural approach. TrustSec moves away from traditional, IP-based Access Control Lists (ACLs), which are difficult to manage and scale, and instead usesScalable Group Tags (SGTs).

With TrustSec, every endpoint is assigned an SGT based on its role or security context (e.g., "Employee," "Contractor," or "HR"). Security policies are then defined in a centralized matrix (the egress policy matrix) that dictates which SGTs can talk to one another. For example, a policy can be set so that endpoints in the "Developer" group cannot communicate directly with endpoints in the "Sales" group, effectively preventing malware from hopping between machines. WhileRADIUS(Option A) is the protocol used for authentication, it does not perform the segmentation itself.Posture(Option C) checks the health of the device, andProfiling(Option D) identifies what the device is, but neither provides the policy-based traffic control of TrustSec. By implementing TrustSec, the company achievesmicro-segmentation, significantly reducing the internal attack surface and containing potential breaches within a single group, which is a core goal of modern secure infrastructure design.