Cisco 300-745 Dumps Questions Answers

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.

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.

In aFull TunnelVPN configuration, all traffic from the remote client is sent to the VPN headend before being routed to its final destination. This often results in "hairpinning," where high-bandwidth latency-sensitive traffic, such as video conferencing, travels to the corporate data center only to be sent back out to the internet, doubling the bandwidth consumption at the headquarter's ISP link.

To resolve this, the company should implementSplit-Excludetunneling. This configuration allows the VPN administrator to define specific applications or IP ranges—in this case, the SaaS video platform—that should bypass the secure tunnel and go directly to the internet via the user's local ISP. This significantly reduces the load on the corporate headquarter's internet connection and often improves the "employee experience" by reducing latency for the video stream. Unlike Option A, which degrades quality, or Option C/D, which disrupts workflow and security posture, split-excluding trusted SaaS traffic maintains a high security standard for internal resources while optimizing infrastructure costs. This aligns with theCisco SDSIobjective of designing scalable and cost-effective remote access solutions usingCisco Secure Client(AnyConnect) and Firepower Threat Defense (FTD) policies.

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