Cisco 300-745 Exam With Confidence Using Practice Dumps

In the provided exhibit of theCisco Secure Endpoint (formerly AMP for Endpoints)console, the "Activity Details" pane on the right side provides the specific reason why the malicious file was allowed to execute. The log clearly states:"The file was not quarantined. In audit only mode."This indicates that while the system correctly identified the file (iodnxvg.exe) as malicious and categorized it with a threat name (W32.DFC.MalParent), it took no preventative action because of the policy configuration.

In Cisco Secure Endpoint, policies can be set to different modes.Audit Modeis typically used during the initial deployment or testing phase to gain visibility into what would be blocked without actually disrupting business operations. In this mode, the connector logs events and alerts administrators but does not move the file to a secure quarantine area. To fulfill the requirement ofpreventingthe execution of malicious files, the security designer must change the policy from "Audit" to a protective mode, such asProtectorQuarantine. This ensures that the engine actively intervenes when a threat signature or suspicious behavior is detected.

While the file is confirmed as malicious (negating Option A) and the system is clearly active and logging (negating Option C), the lack of enforcement is a direct result of the specific operational mode selected. Option B is incorrect because, although network blocking is a feature, the primary failure here is at the file execution/quarantine layer. This scenario emphasizes the importance of moving from a visibility-centric posture to an enforcement-centric posture in a mature secure infrastructure design.

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 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.